Andrea D. Sims

46 total papers · 1.1k total citations
18 papers, 324 citations indexed

About

Andrea D. Sims is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Andrea D. Sims has authored 18 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Language and Linguistics and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Andrea D. Sims's work include Natural Language Processing Techniques (9 papers), Syntax, Semantics, Linguistic Variation (6 papers) and Linguistic Variation and Morphology (3 papers). Andrea D. Sims is often cited by papers focused on Natural Language Processing Techniques (9 papers), Syntax, Semantics, Linguistic Variation (6 papers) and Linguistic Variation and Morphology (3 papers). Andrea D. Sims collaborates with scholars based in United States. Andrea D. Sims's co-authors include Martín Haspelmath, Janet B. Pierrehumbert, Robert Daland, Micha Elsner, Kathryn Davidson, Laura Wagner, Daniel W. Coyne, Jodi Simon, Michael T. Bigham and Alexander Erdmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language and Glossa a journal of general linguistics.

In The Last Decade

Andrea D. Sims

16 papers receiving 288 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea D. Sims 203 122 68 63 52 18 324
Frederick B. Agard 153 0.8× 74 0.6× 73 1.1× 101 1.6× 42 0.8× 12 303
Rama Kant Agnihotri 192 0.9× 64 0.5× 177 2.6× 57 0.9× 47 0.9× 24 360
Stuart Robinson 275 1.4× 121 1.0× 100 1.5× 83 1.3× 38 0.7× 12 334
Michael C. Ewing 217 1.1× 44 0.4× 120 1.8× 67 1.1× 53 1.0× 22 314
František Daneš 226 1.1× 70 0.6× 40 0.6× 118 1.9× 39 0.8× 26 344
Ádám Makkai 208 1.0× 58 0.5× 33 0.5× 98 1.6× 59 1.1× 16 276
Antoinette Renouf 215 1.1× 97 0.8× 91 1.3× 61 1.0× 67 1.3× 23 344
Alison d’Anglejan 196 1.0× 44 0.4× 90 1.3× 54 0.9× 152 2.9× 25 331
Andrew Hippisley 160 0.8× 116 1.0× 67 1.0× 71 1.1× 12 0.2× 20 250
Leonard Newmark 176 0.9× 51 0.4× 59 0.9× 77 1.2× 75 1.4× 18 351

Countries citing papers authored by Andrea D. Sims

Since Specialization
Citations

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

Fields of papers citing papers by Andrea D. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea D. Sims. 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 Andrea D. Sims. The network helps show where Andrea D. Sims may publish in the future.

Co-authorship network of co-authors of Andrea D. Sims

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea D. Sims. A scholar is included among the top collaborators of Andrea D. Sims 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 Andrea D. Sims. Andrea D. Sims 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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