James Wexler

9 papers and 469 indexed citations i.

About

James Wexler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, James Wexler has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in James Wexler’s work include Topic Modeling (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Natural Language Processing Techniques (3 papers). James Wexler is often cited by papers focused on Topic Modeling (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Natural Language Processing Techniques (3 papers). James Wexler collaborates with scholars based in United States. James Wexler's co-authors include Fernanda Viégas, Martin Wattenberg, Tolga Bolukbasi, Mahima Pushkarna, Kanit Wongsuphasawat, Daniel Smilkov, Dilip Krishnan, Ian Tenney, Sebastian Gehrmann and Ann Yuan and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and International Symposium/Conference on Music Information Retrieval.

In The Last Decade

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

Fields of papers citing papers by James Wexler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Wexler

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025