James Requeima

7 papers and 34 indexed citations i.

About

James Requeima is a scholar working on Artificial Intelligence, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, James Requeima has authored 7 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Global and Planetary Change and 2 papers in Atmospheric Science. Recurrent topics in James Requeima’s work include Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Meteorological Phenomena and Simulations (2 papers). James Requeima is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Meteorological Phenomena and Simulations (2 papers). James Requeima collaborates with scholars based in United Kingdom, United States and Canada. James Requeima's co-authors include Richard E. Turner, Jonathan Gordon, John Bronskill, Sebastian Nowozin, J. Scott Hosking, Daniel C. Jones, Tom R. Andersson, Matthew A. Lazzara, Michael Herzog and Nicholas D. Lane and has published in prestigious journals such as Nature, North American Electric Reliability Corporation Open Archive (North American Electric Reliability Corporation) and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by James Requeima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Requeima

Since Specialization
Citations

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