Diane Bouchacourt

49 total papers · 755 total citations
6 papers, 193 citations indexed

About

Diane Bouchacourt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Diane Bouchacourt has authored 6 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Cultural Studies. Recurrent topics in Diane Bouchacourt's work include Natural Language Processing Techniques (3 papers), Speech and dialogue systems (2 papers) and AI in cancer detection (2 papers). Diane Bouchacourt is often cited by papers focused on Natural Language Processing Techniques (3 papers), Speech and dialogue systems (2 papers) and AI in cancer detection (2 papers). Diane Bouchacourt collaborates with scholars based in United Kingdom, Israel and United States. Diane Bouchacourt's co-authors include Sebastian Nowozin, Ryota Tomioka, Marco Baroni, David López-Paz, Jonathan Gordon, Jacob Andreas and Brenden M. Lake and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Diane Bouchacourt

6 papers receiving 182 citations

Author Peers

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

Author Last Decade Papers Cites
Diane Bouchacourt 126 106 16 14 11 6 193
Shukang Yin 93 0.7× 56 0.5× 7 0.4× 8 0.6× 3 0.3× 6 204
Sai Rajeswar 80 0.6× 76 0.7× 15 0.9× 6 0.4× 5 0.5× 10 149
Thomas Kipf 120 1.0× 87 0.8× 32 2.0× 7 0.5× 2 0.2× 10 184
J. Cloutier 180 1.4× 104 1.0× 12 0.8× 20 1.4× 2 0.2× 9 269
Linjun Zhou 166 1.3× 101 1.0× 11 0.7× 15 1.1× 2 0.2× 7 234
Stanislau Semeniuta 103 0.8× 84 0.8× 18 1.1× 4 0.3× 5 0.5× 7 187
Matthew Rudary 158 1.3× 32 0.3× 14 0.9× 49 3.5× 10 0.9× 7 233
Carl Case 49 0.4× 235 2.2× 13 0.8× 10 0.7× 12 1.1× 8 288
Karol Kurach 88 0.7× 49 0.5× 11 0.7× 6 0.4× 17 1.5× 8 178
Taras Khakhulin 80 0.6× 109 1.0× 9 0.6× 19 1.4× 8 0.7× 9 217

Countries citing papers authored by Diane Bouchacourt

Since Specialization
Citations

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

Fields of papers citing papers by Diane Bouchacourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Bouchacourt

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