Chris Tar

15 total papers · 3.3k total citations
6 papers, 1.1k citations indexed

About

Chris Tar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Infectious Diseases. According to data from OpenAlex, Chris Tar has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 0 papers in Infectious Diseases. Recurrent topics in Chris Tar's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (1 paper). Chris Tar is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (1 paper). Chris Tar collaborates with scholars based in United States and Mexico. Chris Tar's co-authors include Yinfei Yang, Noah Constant, Brian Strope, Ray Kurzweil, Steve Yuan, Daniel Cer, Sheng-yi Kong, Nan Hua, Yuan Zhang and Jason Baldridge and has published in prestigious journals such as .

In The Last Decade

Chris Tar

6 papers receiving 1.0k citations

Hit Papers

Universal Sentence Encode... 2018 2026 2020 2023 2018 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chris Tar 868 172 158 92 47 6 1.1k
Steve Yuan 843 1.0× 150 0.9× 161 1.0× 95 1.0× 52 1.1× 4 1.1k
Rita Frieske 855 1.0× 110 0.6× 166 1.1× 101 1.1× 33 0.7× 3 1.4k
Narjes Nikzad-Khasmakhi 809 0.9× 172 1.0× 272 1.7× 113 1.2× 68 1.4× 11 1.2k
Shahla Nemati 890 1.0× 120 0.7× 159 1.0× 161 1.8× 61 1.3× 19 1.2k
Pankaj Kumar Singh 776 0.9× 297 1.7× 157 1.0× 41 0.4× 57 1.2× 8 1.0k
Jason Wei 1.1k 1.3× 201 1.2× 171 1.1× 80 0.9× 69 1.5× 15 1.4k
Zhi-Hua Zhou 481 0.6× 201 1.2× 231 1.5× 97 1.1× 91 1.9× 8 1.0k
Carina Silberer 1.1k 1.3× 243 1.4× 180 1.1× 64 0.7× 49 1.0× 20 1.4k
Lei Zhang 915 1.1× 73 0.4× 181 1.1× 143 1.6× 41 0.9× 4 1.2k
Yin Zhang 536 0.6× 234 1.4× 208 1.3× 97 1.1× 96 2.0× 14 1.3k

Countries citing papers authored by Chris Tar

Since Specialization
Citations

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

Fields of papers citing papers by Chris Tar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Tar

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Tar. A scholar is included among the top collaborators of Chris Tar 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 Chris Tar. Chris Tar 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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