Jason Eisner

88 papers and 1.7k indexed citations i.

About

Jason Eisner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jason Eisner has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jason Eisner’s work include Natural Language Processing Techniques (65 papers), Topic Modeling (54 papers) and Speech and dialogue systems (16 papers). Jason Eisner is often cited by papers focused on Natural Language Processing Techniques (65 papers), Topic Modeling (54 papers) and Speech and dialogue systems (16 papers). Jason Eisner collaborates with scholars based in United States, Switzerland and United Kingdom. Jason Eisner's co-authors include Guanghui Qin, Ryan Cotterell, David A. Smith, Zhifei Li, Hal Daumé, He He, Giorgio Satta, Hongyuan Mei, Markus Dreyer and Noah A. Smith and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Radiographics and Cognitive Science.

In The Last Decade

Co-authorship network of co-authors of Jason Eisner i

Fields of papers citing papers by Jason Eisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason Eisner

Since Specialization
Citations

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