Ana Arregui

39 total papers · 766 total citations
20 papers, 302 citations indexed

About

Ana Arregui is a scholar working on Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Ana Arregui has authored 20 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Language and Linguistics, 11 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Ana Arregui's work include Syntax, Semantics, Linguistic Variation (15 papers), Logic, Reasoning, and Knowledge (7 papers) and Natural Language Processing Techniques (4 papers). Ana Arregui is often cited by papers focused on Syntax, Semantics, Linguistic Variation (15 papers), Logic, Reasoning, and Knowledge (7 papers) and Natural Language Processing Techniques (4 papers). Ana Arregui collaborates with scholars based in Canada and United States. Ana Arregui's co-authors include Lyn Frazier, Charles Clifton, Keir Moulton, Marı́a Luisa Rivero, Andrés Pablo Salanova, Jenny Doetjes and Lisa Matthewson and has published in prestigious journals such as Journal of Memory and Language, Linguistic Inquiry and Linguistics and Philosophy.

In The Last Decade

Ana Arregui

17 papers receiving 227 citations

Author Peers

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

Author Last Decade Papers Cites
Ana Arregui 237 141 90 70 51 20 302
Márta Abrusán 236 1.0× 132 0.9× 124 1.4× 76 1.1× 65 1.3× 22 365
Marcin Morzycki 237 1.0× 113 0.8× 76 0.8× 55 0.8× 16 0.3× 18 287
Lucas Champollion 229 1.0× 219 1.6× 81 0.9× 67 1.0× 32 0.6× 34 354
Alexis Wellwood 181 0.8× 113 0.8× 93 1.0× 67 1.0× 46 0.9× 28 286
Laurence Horn 186 0.8× 64 0.5× 112 1.2× 57 0.8× 19 0.4× 11 272
Manuel Križ 170 0.7× 96 0.7× 64 0.7× 68 1.0× 45 0.9× 11 239
Orin Percus 189 0.8× 94 0.7× 60 0.7× 75 1.1× 18 0.4× 10 231
Christopher Piñón 179 0.8× 103 0.7× 72 0.8× 63 0.9× 15 0.3× 17 237
Corien Bary 165 0.7× 103 0.7× 62 0.7× 66 0.9× 19 0.4× 19 225
Shoichi Takahashi 181 0.8× 97 0.7× 45 0.5× 38 0.5× 28 0.5× 15 229

Countries citing papers authored by Ana Arregui

Since Specialization
Citations

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

Fields of papers citing papers by Ana Arregui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Arregui

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