James Smith

About

James Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, James Smith has authored 23 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in James Smith’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers) and Health and Medical Research Impacts (2 papers). James Smith is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers) and Health and Medical Research Impacts (2 papers). James Smith collaborates with scholars based in United States, Australia and Israel. James Smith's co-authors include Zsolt Kira, Bogdan M. Wilamowski, Bo Wu, Yen-Chang Hsu, Michael E. Baginski, Hongxia Jin, Yilin Shen, Daniel R. Chavas, Ning Lin and Kerry Emanuel and has published in prestigious journals such as Scientific Reports, Journal of the Atmospheric Sciences and IEEE Transactions on Antennas and Propagation.

In The Last Decade

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

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Fields of papers citing papers by James Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Smith

Since Specialization

Citations

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