Jonathan Graehl

About

Jonathan Graehl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jonathan Graehl has authored 7 papers receiving a total of 624 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 3 papers in Computational Theory and Mathematics. Recurrent topics in Jonathan Graehl’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers) and Handwritten Text Recognition Techniques (3 papers). Jonathan Graehl is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers) and Handwritten Text Recognition Techniques (3 papers). Jonathan Graehl collaborates with scholars based in United States. Jonathan Graehl's co-authors include Kevin Knight, Michel Galley, Daniel Marcu, Wei Wang, Steve DeNeefe, Jonathan May, Mark Hopkins, Andreas Maletti, Adam Pauls and David Chiang and has published in prestigious journals such as SIAM Journal on Computing, Computational Linguistics and Columbia Academic Commons (Columbia University).

In The Last Decade

Co-authorship network of co-authors of Jonathan Graehl i

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Fields of papers citing papers by Jonathan Graehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Graehl

Since Specialization

Citations

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