Martín Arjovsky

4 papers and 2.2k indexed citations i.

About

Martín Arjovsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Martín Arjovsky has authored 4 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Martín Arjovsky’s work include Numerical methods for differential equations (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Martín Arjovsky is often cited by papers focused on Numerical methods for differential equations (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Martín Arjovsky collaborates with scholars based in United States and Israel. Martín Arjovsky's co-authors include Léon Bottou, Soumith Chintala, Zhengdao Chen, Jianyu Zhang, Anil Kokaram, Michele Covell, Daniel Guo, Charles Blundell, Adrià Puigdomènech Badia and Alexander Pritzel and has published in prestigious journals such as International Conference on Machine Learning, International Conference on Learning Representations and Electronic Imaging.

In The Last Decade

Co-authorship network of co-authors of Martín Arjovsky i

Fields of papers citing papers by Martín Arjovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martín Arjovsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martín Arjovsky. The network helps show where Martín Arjovsky may publish in the future.

Countries citing papers authored by Martín Arjovsky

Since Specialization
Citations

This map shows the geographic impact of Martín Arjovsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martín Arjovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Arjovsky more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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