Tim Vieira

60 total papers · 534 total citations
20 papers, 260 citations indexed

About

Tim Vieira is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Tim Vieira has authored 20 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Tim Vieira's work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and semigroups and automata theory (5 papers). Tim Vieira is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and semigroups and automata theory (5 papers). Tim Vieira collaborates with scholars based in United States, Switzerland and United Kingdom. Tim Vieira's co-authors include Dan Roth, Subhro Roy, Ryan Cotterell, Clara Meister, Hinrich Schütze, Rachel Rudinger, Aaron Steven White, Sheng Zhang, Benjamin Van Durme and Keisuke Sakaguchi and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Theory and applications of categories and Apollo (University of Cambridge).

In The Last Decade

Tim Vieira

16 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Tim Vieira 227 39 33 12 10 20 260
Rani Nelken 201 0.9× 28 0.7× 26 0.8× 14 1.2× 17 1.7× 18 234
Abdulrahman Almuhareb 290 1.3× 112 2.9× 26 0.8× 10 0.8× 8 0.8× 12 315
Yongduo Sui 177 0.8× 41 1.1× 37 1.1× 14 1.2× 11 1.1× 17 216
Sudha Morwal 204 0.9× 46 1.2× 29 0.9× 5 0.4× 4 0.4× 25 261
Pamela Forner 270 1.2× 63 1.6× 44 1.3× 14 1.2× 4 0.4× 18 320
Susan Armstrong 203 0.9× 28 0.7× 20 0.6× 4 0.3× 12 1.2× 23 232
Arun Tejasvi Chaganty 179 0.8× 31 0.8× 27 0.8× 12 1.0× 8 0.8× 16 216
Myung-Gil Jang 267 1.2× 91 2.3× 35 1.1× 21 1.8× 4 0.4× 29 310
Baoyu Jing 221 1.0× 39 1.0× 30 0.9× 18 1.5× 5 0.5× 18 269
David Burkett 299 1.3× 31 0.8× 25 0.8× 4 0.3× 6 0.6× 13 312

Countries citing papers authored by Tim Vieira

Since Specialization
Citations

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

Fields of papers citing papers by Tim Vieira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Vieira

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