James Martens

25 papers and 2.9k indexed citations i.

About

James Martens is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, James Martens has authored 25 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in James Martens’s work include Stochastic Gradient Optimization Techniques (8 papers), Model Reduction and Neural Networks (8 papers) and Neural Networks and Applications (7 papers). James Martens is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Model Reduction and Neural Networks (8 papers) and Neural Networks and Applications (7 papers). James Martens collaborates with scholars based in Canada, United States and Australia. James Martens's co-authors include Ilya Sutskever, Geoffrey E. Hinton, George E. Dahl, Roger Grosse, Jimmy Ba, Hye-Young Paik, Chongli Qin, Qinghua Lu, Krishnamurthy Dvijotham and Robert Stanforth and has published in prestigious journals such as Journal of Machine Learning Research, Biological Cybernetics and Trends in Cardiovascular Medicine.

In The Last Decade

Co-authorship network of co-authors of James Martens i

Fields of papers citing papers by James Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Martens. 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 James Martens. The network helps show where James Martens may publish in the future.

Countries citing papers authored by James Martens

Since Specialization
Citations

This map shows the geographic impact of James Martens'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 James Martens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Martens 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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2025