Thomas R. Lynam

23 total papers · 1.2k total citations
19 papers, 799 citations indexed

About

Thomas R. Lynam is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Thomas R. Lynam has authored 19 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Thomas R. Lynam's work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Text and Document Classification Technologies (6 papers). Thomas R. Lynam is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Text and Document Classification Technologies (6 papers). Thomas R. Lynam collaborates with scholars based in Canada and United States. Thomas R. Lynam's co-authors include Gordon V. Cormack, Charles L. A. Clarke, Bogdan Filipič, Blaž Zupan, Egidio L. Terra, David R. Cheriton, Michael Laszlo, Chris Buckley, David L. Yeung and Donna Harman and has published in prestigious journals such as Journal of Machine Learning Research, ACM Transactions on Information Systems and Information Retrieval.

In The Last Decade

Thomas R. Lynam

19 papers receiving 687 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas R. Lynam 658 504 153 69 66 19 799
Terence Parr 500 0.8× 428 0.8× 170 1.1× 89 1.3× 44 0.7× 24 959
Shenglin Zhao 418 0.6× 406 0.8× 115 0.8× 101 1.5× 149 2.3× 17 778
Gholamreza Nakhaeizadeh 321 0.5× 423 0.8× 87 0.6× 155 2.2× 60 0.9× 19 707
Tao Tao 529 0.8× 407 0.8× 63 0.4× 71 1.0× 176 2.7× 38 769
T. Ryan Hoens 551 0.8× 274 0.5× 97 0.6× 61 0.9× 142 2.2× 10 751
Cornelis J. van Rijsbergen 597 0.9× 508 1.0× 69 0.5× 150 2.2× 160 2.4× 15 840
Trevor Strohman 548 0.8× 534 1.1× 172 1.1× 194 2.8× 140 2.1× 13 848
John Shafer 420 0.6× 442 0.9× 156 1.0× 194 2.8× 55 0.8× 15 722
Ke Wang 484 0.7× 586 1.2× 147 1.0× 214 3.1× 34 0.5× 28 966
Doug Cutting 669 1.0× 308 0.6× 130 0.8× 76 1.1× 102 1.5× 7 932

Countries citing papers authored by Thomas R. Lynam

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. Lynam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Lynam. 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 Thomas R. Lynam. The network helps show where Thomas R. Lynam may publish in the future.

Co-authorship network of co-authors of Thomas R. Lynam

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Lynam. A scholar is included among the top collaborators of Thomas R. Lynam 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 Thomas R. Lynam. Thomas R. Lynam 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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