Jimmy Lin

755 total papers · 22.3k total citations
428 papers, 11.0k citations indexed

About

Jimmy Lin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jimmy Lin has authored 428 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 312 papers in Artificial Intelligence, 161 papers in Information Systems and 94 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jimmy Lin's work include Topic Modeling (211 papers), Natural Language Processing Techniques (137 papers) and Information Retrieval and Search Behavior (53 papers). Jimmy Lin is often cited by papers focused on Topic Modeling (211 papers), Natural Language Processing Techniques (137 papers) and Information Retrieval and Search Behavior (53 papers). Jimmy Lin collaborates with scholars based in United States, Canada and United Kingdom. Jimmy Lin's co-authors include Dina Demner‐Fushman, Chris Dyer, Boris Katz, Hua He, Rodrigo Nogueira, Raphael Tang, Michael C. Schatz, Aneesh Sharma, Pankaj Gupta and W. John Wilbur and has published in prestigious journals such as Genome biology, BMC Bioinformatics and Hydrological Processes.

In The Last Decade

Jimmy Lin

404 papers receiving 10.1k citations

Hit Papers

Data-intensive text proce... 2009 2026 2014 2020 2009 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jimmy Lin 7.3k 4.1k 2.1k 1.7k 1.0k 428 11.0k
Steffen Staab 7.4k 1.0× 4.6k 1.1× 850 0.4× 2.0k 1.1× 1.3k 1.3× 335 10.3k
ChengXiang Zhai 11.4k 1.6× 8.0k 2.0× 2.4k 1.1× 1.1k 0.6× 1.4k 1.4× 385 16.8k
Oren Etzioni 13.5k 1.8× 6.4k 1.6× 1.5k 0.7× 2.1k 1.2× 828 0.8× 192 17.7k
David Harel 7.2k 1.0× 2.9k 0.7× 1.1k 0.5× 2.4k 1.4× 1.1k 1.1× 255 15.3k
Stephen Robertson 8.3k 1.1× 7.2k 1.8× 2.2k 1.1× 1.0k 0.6× 607 0.6× 180 12.3k
Hsinchun Chen 5.4k 0.7× 4.7k 1.1× 1.2k 0.6× 1.1k 0.6× 583 0.6× 302 11.8k
Gerhard Weikum 7.9k 1.1× 4.0k 1.0× 1.4k 0.7× 4.9k 2.8× 662 0.7× 471 12.7k
Xueqi Cheng 7.1k 1.0× 3.4k 0.8× 1.5k 0.7× 1.3k 0.7× 425 0.4× 516 11.5k
Maarten de Rijke 9.8k 1.3× 5.7k 1.4× 1.4k 0.7× 987 0.6× 288 0.3× 657 13.2k
Irwin King 7.8k 1.1× 8.0k 2.0× 3.7k 1.7× 2.8k 1.6× 444 0.4× 404 15.2k

Countries citing papers authored by Jimmy Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jimmy Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Lin. A scholar is included among the top collaborators of Jimmy Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jimmy Lin. Jimmy Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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