default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGonzalo Joya Caparrós
Gonzalo Joya
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[e14]Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14134, Springer 2023, ISBN 978-3-031-43084-8 [contents]- [e13]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14135, Springer 2023, ISBN 978-3-031-43077-0 [contents] - 2022
- [c41]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya:
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC 2022: 276-283 - 2021
- [j24]Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya:
Differentiation of Saccadic Eye Movement Signals. Sensors 21(15): 5021 (2021) - [j23]Lissette Valdés, Alfonso Ariza, Sira M. Allende, Alicia Triviño, Gonzalo Joya:
Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry 13(8): 1534 (2021) - [c40]Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel A. Atencia Ruiz, Gonzalo Joya:
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) 2021: 3-14 - [c39]Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability. IWANN (2) 2021: 260-271 - [c38]Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES 2021: 2002-2011 - [e12]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12861, Springer 2021, ISBN 978-3-030-85029-6 [contents] - [e11]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12862, Springer 2021, ISBN 978-3-030-85098-2 [contents] - 2020
- [j22]Miguel A. Atencia Ruiz, Gonzalo Joya, Francisco García-Lagos:
Advances in computational intelligence. Neural Comput. Appl. 32(2): 309-311 (2020) - [j21]José Ramón Salinas, Francisco García-Lagos, Javier Díaz de Aguilar, Gonzalo Joya, Francisco Sandoval:
Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Comput. Appl. 32(2): 351-368 (2020) - [j20]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [c37]Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli:
Time Series Clustering with Deep Reservoir Computing. ICANN (2) 2020: 482-493
2010 – 2019
- 2019
- [c36]Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya:
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. IWANN (2) 2019: 26-37 - [c35]Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya:
Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) 2019: 73-83 - [c34]Lissette Valdés, Alfonso Ariza, Sira María Allende, Gonzalo Joya:
Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach. IWANN (2) 2019: 640-652 - [c33]Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya:
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. IWANN (1) 2019: 871-882 - [e10]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11506, Springer 2019, ISBN 978-3-030-20520-1 [contents] - [e9]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11507, Springer 2019, ISBN 978-3-030-20517-1 [contents] - 2017
- [j19]Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada:
Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing 250: 28-36 (2017) - [j18]Andreu Català Mallofré, Gonzalo Joya Caparrós, Ignacio Rojas Ruiz:
Editorial. Neural Process. Lett. 46(3): 747-750 (2017) - [c32]Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrós:
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. IWANN (2) 2017: 38-49 - [c31]José Ramón Salinas, Francisco García-Lagos, Javier Díaz de Aguilar, Gonzalo Joya, Francisco Sandoval:
Uncertainty Analysis of ANN Based Spectral Analysis Using Monte Carlo Method. IWANN (1) 2017: 269-280 - [c30]Rodolfo García-Bermúdez, Fernando Rojas, Gabriel Demera, Christian Torres, David Zambrano, Gonzalo Joya Caparrós, Roberto Becerra-García:
Evaluation of the Differentiation of Noisy Electrooculographic Records Using Continuous Wavelet Transform. IWBBIO (1) 2017: 557-566 - [e8]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10305, Springer 2017, ISBN 978-3-319-59152-0 [contents] - [e7]Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10306, Springer 2017, ISBN 978-3-319-59146-9 [contents] - 2015
- [j17]Yadira Hernández-Solano, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing 164: 45-55 (2015) - [j16]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany:
Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Comput. 19(9): 2403-2405 (2015) - [j15]Lissette Valdés, Soraya Montesinos, Alfonso Ariza, Sira M. Allende, Gonzalo Joya:
Peer selection in P2P wireless mesh networks: comparison of different strategies. Soft Comput. 19(9): 2447-2455 (2015) - [c29]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Hopfield networks: from optimization to adaptive control. IJCNN 2015: 1-8 - [c28]Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada:
Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning. IWANN (2) 2015: 56-68 - [e6]Ignacio Rojas, Gonzalo Joya Caparrós, Andreu Català:
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9094, Springer 2015, ISBN 978-3-319-19257-4 [contents] - [e5]Ignacio Rojas, Gonzalo Joya Caparrós, Andreu Català:
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II. Lecture Notes in Computer Science 9095, Springer 2015, ISBN 978-3-319-19221-5 [contents] - 2013
- [j14]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. Neurocomputing 121: 14-24 (2013) - [j13]Miguel A. Atencia Ruiz, Esther García-Garaluz, Héctor de Arazoza, Gonzalo Joya Caparrós:
Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. Math. Comput. Model. 57(11-12): 2971-2983 (2013) - [j12]Ignacio Rojas, Joan Cabestany I. Moncusi, Gonzalo Joya Caparrós:
Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013) - [j11]Jorge Barrios, Alain Piétrus, Gonzalo Joya Caparrós, Aymée Marrero, Héctor de Arazoza:
A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty - Application to dengue disease transmission. Soft Comput. 17(2): 239-253 (2013) - [c27]Roberto Becerra-García, Gonzalo Joya Caparrós, Rodolfo Valentin García-Bermúdez, Luís Velázquez, Roberto Rodríguez, Carmen Pino:
Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2. IWANN (2) 2013: 115-123 - [c26]Lissette Valdés, Alfonso Ariza, Sira M. Allende, Rubén Parada, Gonzalo Joya:
Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks. IWANN (1) 2013: 124-132 - [c25]Miguel A. Atencia Ruiz, Yadira Hernández, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical Implementation of Gradient Algorithms. IWANN (2) 2013: 355-364 - [e4]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany:
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7902, Springer 2013, ISBN 978-3-642-38678-7 [contents] - [e3]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany:
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7903, Springer 2013, ISBN 978-3-642-38681-7 [contents] - 2011
- [j10]Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba. Neurocomputing 74(16): 2691-2697 (2011) - [c24]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Statistical properties of the 'Hopfield estimator' of dynamical systems. ESANN 2011 - [c23]Vivian Sistachs Vega, Gonzalo Joya Caparrós, Miguel A. Díaz Martínez:
Early Pigmentary Retinosis Diagnostic Based on Classification Trees. IWANN (1) 2011: 329-336 - [c22]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Robustness of the "Hopfield Estimator" for Identification of Dynamical Systems. IWANN (2) 2011: 516-523 - [c21]Jorge Barrios, Alain Piétrus, Aymée Marrero, Héctor de Arazoza, Gonzalo Joya Caparrós:
Dengue Model Described by Differential Inclusions. IWANN (2) 2011: 540-547 - [e2]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6691, Springer 2011, ISBN 978-3-642-21500-1 [contents] - [e1]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6692, Springer 2011, ISBN 978-3-642-21497-4 [contents] - 2010
- [j9]Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
Contingency evaluation and monitorization using artificial neural networks. Neural Comput. Appl. 19(1): 139-150 (2010)
2000 – 2009
- 2009
- [j8]José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Sine-fitting multiharmonic algorithms implemented by artificial neural networks. Neurocomputing 72(16-18): 3640-3648 (2009) - [c20]Madalina Olteanu, Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM). IWANN (1) 2009: 886-892 - [c19]Esther García-Garaluz, Miguel A. Atencia Ruiz, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
System Identification of Dengue Fever Epidemics in Cuba. IWANN (1) 2009: 901-908 - 2007
- [j7]Miguel A. Atencia Ruiz, Hafida Boumeridja, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
FPGA implementation of a systems identification module based upon Hopfield networks. Neurocomputing 70(16-18): 2828-2835 (2007) - [c18]Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks. ICANN (1) 2007: 599-608 - [c17]José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks. IWANN 2007: 622-629 - [c16]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Esther García-Garaluz, Héctor de Arazoza, Francisco Sandoval Hernández:
Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. IWANN 2007: 948-955 - 2005
- [j6]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization. Neural Comput. 17(8): 1802-1819 (2005) - [j5]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Hopfield Neural Networks for Parametric Identification of Dynamical Systems. Neural Process. Lett. 21(2): 143-152 (2005) - [c15]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Two or three things that we (intend to) know about Hopfield and Tank networks. ESANN 2005: 25-36 - [c14]Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Stochastic analysis of the Abe formulation of Hopfield networks. ESANN 2005: 55-60 - [c13]Hafida Boumeridja, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
FPGA Implementation of Hopfield Networks for Systems Identification. IWANN 2005: 582-589 - 2004
- [j4]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Comput. Appl. 13(4): 270-280 (2004) - 2003
- [c12]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Spurious Minima and Basins of Attraction in Higher-Order Hopfield Networks. IWANN (1) 2003: 350-357 - [c11]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Modelling the HIV-AIDS Cuban Epidemics with Hopfield Neural Networks. IWANN (2) 2003: 449-456 - [c10]Francisco Javier Marín Martín, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Optimal Phasor Measurement Unit Placement Using Genetic Algorithms. IWANN (1) 2003: 486-493 - 2002
- [j3]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Hopfield neural networks for optimization: study of the different dynamics. Neurocomputing 43(1-4): 219-237 (2002) - [c9]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. ICANN 2002: 1365-1370 - 2001
- [c8]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical implementation of continuous Hopfield networks for optimization. ESANN 2001: 359-364 - [c7]Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández:
Neural Networks for Contingency Evaluation and Monitoring in Power Systems. IWANN (2) 2001: 711-718 - 2000
- [j2]Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A Formal Model for Definition and Simulation of Generic Neural Networks. Neural Process. Lett. 11(2): 87-105 (2000) - [c6]Gonzalo Joya Caparrós:
Connectionist solutions for energy management systems. ESANN 2000: 389-400
1990 – 1999
- 1998
- [c5]Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández:
Application of Hopfield Neural Networks to State Estimation. NC 1998: 405-411 - 1997
- [j1]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems. Neurocomputing 14(2): 139-156 (1997) - [c4]Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández:
Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results. IWANN 1997: 556-565 - [c3]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Neural Networks Based Projectivity Invariant Recognition of Flat Patterns. IWANN 1997: 1038-1047 - 1995
- [c2]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability. IWANN 1995: 283-290 - 1993
- [c1]Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Projectivity Invariant Pattern Recognition with High-Order Neural Networks. IWANN 1993: 513-518
Coauthor Index
Andreu Català
aka: Andreu Català Mallofré
aka: Andreu Català Mallofré
Ignacio Rojas
aka: Ignacio Rojas Ruiz
aka: Ignacio Rojas Ruiz
Francisco Sandoval 0001
aka: Francisco Sandoval Hernández
aka: Francisco Sandoval Hernández
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
