Ezra Black

13 papers and 112 indexed citations i.

About

Ezra Black is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Ezra Black has authored 13 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Ezra Black’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers) and Algorithms and Data Compression (3 papers). Ezra Black is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers) and Algorithms and Data Compression (3 papers). Ezra Black collaborates with scholars based in Japan and United States. Ezra Black's co-authors include Geoffrey Leech, Roger Garside, John Lafferty, Salim Roukos, Andrew Finch, Ruiqiang Zhang, Hideki Kashioka, David M. Magerman, Jared Saia and Stephen Eubank and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Visual Languages & Computing and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Ezra Black i

Fields of papers citing papers by Ezra Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ezra Black

Since Specialization
Citations

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