Claire Bonial

87 total papers · 2.0k total citations
47 papers, 1.1k citations indexed

About

Claire Bonial is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Claire Bonial has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Claire Bonial's work include Natural Language Processing Techniques (34 papers), Topic Modeling (34 papers) and Speech and dialogue systems (17 papers). Claire Bonial is often cited by papers focused on Natural Language Processing Techniques (34 papers), Topic Modeling (34 papers) and Speech and dialogue systems (17 papers). Claire Bonial collaborates with scholars based in United States, Germany and United Kingdom. Claire Bonial's co-authors include Martha Palmer, Nathan Schneider, Ulf Hermjakob, Kira Griffitt, Shu Cai, Kevin Knight, Philipp Koehn, Jena D. Hwang, Jinho D. Choi and Clare R. Voss and has published in prestigious journals such as Frontiers in Systems Neuroscience, Language Resources and Evaluation and Journal of Linguistics.

In The Last Decade

Claire Bonial

42 papers receiving 986 citations

Hit Papers

Abstract Meaning Represen... 2013 2026 2017 2021 2013 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
Claire Bonial 1.0k 126 98 75 55 47 1.1k
Caroline Sporleder 1.0k 1.0× 95 0.8× 80 0.8× 123 1.6× 77 1.4× 57 1.2k
Georgiana Dinu 1.1k 1.1× 139 1.1× 73 0.7× 80 1.1× 37 0.7× 28 1.3k
Chunyu Kit 878 0.8× 115 0.9× 63 0.6× 142 1.9× 57 1.0× 73 1.0k
Magnus Sahlgren 959 0.9× 129 1.0× 112 1.1× 132 1.8× 53 1.0× 68 1.2k
Julie Weeds 887 0.8× 61 0.5× 115 1.2× 76 1.0× 33 0.6× 35 960
Bruno Pouliquen 768 0.7× 74 0.6× 90 0.9× 134 1.8× 79 1.4× 49 921
Erwin Marsi 1.3k 1.3× 68 0.5× 123 1.3× 110 1.5× 71 1.3× 37 1.4k
Fei Xia 814 0.8× 110 0.9× 186 1.9× 70 0.9× 40 0.7× 55 1.0k
Emily Pitler 1.3k 1.2× 152 1.2× 58 0.6× 143 1.9× 30 0.5× 27 1.4k
Katja Markert 944 0.9× 149 1.2× 41 0.4× 105 1.4× 132 2.4× 57 1.2k

Countries citing papers authored by Claire Bonial

Since Specialization
Citations

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

Fields of papers citing papers by Claire Bonial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Bonial

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Bonial. A scholar is included among the top collaborators of Claire Bonial 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 Claire Bonial. Claire Bonial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026