T. Daniel Seely

47 total papers · 945 total citations
16 papers, 207 citations indexed

About

T. Daniel Seely is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, T. Daniel Seely has authored 16 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Language and Linguistics, 5 papers in Artificial Intelligence and 4 papers in Linguistics and Language. Recurrent topics in T. Daniel Seely's work include Syntax, Semantics, Linguistic Variation (10 papers), Linguistic Variation and Morphology (4 papers) and Natural Language Processing Techniques (4 papers). T. Daniel Seely is often cited by papers focused on Syntax, Semantics, Linguistic Variation (10 papers), Linguistic Variation and Morphology (4 papers) and Natural Language Processing Techniques (4 papers). T. Daniel Seely collaborates with scholars based in United States, Russia and Japan. T. Daniel Seely's co-authors include Samuel David Epstein, Hisatsugu Kitahara, Acrísio Pires, Vicki Carstens, Noam Chomsky, Robert C. Berwick, Norbert Hornstein, Marinus A. C. Huybregts and Sandiway Fong and has published in prestigious journals such as Linguistic Inquiry, The Linguistic Review and Syntax.

In The Last Decade

T. Daniel Seely

13 papers receiving 176 citations

Author Peers

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

Author Last Decade Papers Cites
T. Daniel Seely 175 79 36 36 30 16 207
Matthijs Westera 74 0.4× 72 0.9× 43 1.2× 19 0.5× 25 0.8× 22 157
Alexis Wellwood 181 1.0× 113 1.4× 93 2.6× 30 0.8× 33 1.1× 28 286
Shoichi Takahashi 181 1.0× 97 1.2× 45 1.3× 12 0.3× 19 0.6× 15 229
Gregory M. Kobele 111 0.6× 144 1.8× 49 1.4× 19 0.5× 17 0.6× 23 198
Gabi Danon 215 1.2× 96 1.2× 47 1.3× 13 0.4× 27 0.9× 9 247
Kimiko Nakanishi 209 1.2× 129 1.6× 54 1.5× 12 0.3× 14 0.5× 14 229
Edwin B. Williams 162 0.9× 84 1.1× 67 1.9× 30 0.8× 45 1.5× 14 269
Vladimir Borschev 186 1.1× 98 1.2× 70 1.9× 15 0.4× 8 0.3× 16 225
Kristiina Hintikka 102 0.6× 99 1.3× 86 2.4× 11 0.3× 27 0.9× 7 236
Lobke Aelbrecht 173 1.0× 97 1.2× 65 1.8× 12 0.3× 10 0.3× 12 188

Countries citing papers authored by T. Daniel Seely

Since Specialization
Citations

This map shows the geographic impact of T. Daniel Seely'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 T. Daniel Seely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Daniel Seely more than expected).

Fields of papers citing papers by T. Daniel Seely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Daniel Seely. 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 T. Daniel Seely. The network helps show where T. Daniel Seely may publish in the future.

Co-authorship network of co-authors of T. Daniel Seely

This figure shows the co-authorship network connecting the top 25 collaborators of T. Daniel Seely. A scholar is included among the top collaborators of T. Daniel Seely 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 T. Daniel Seely. T. Daniel Seely 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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