Andrei Kapishnikov

419 total citations
3 papers, 177 citations indexed

About

Andrei Kapishnikov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Architecture. According to data from OpenAlex, Andrei Kapishnikov has authored 3 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Architecture. Recurrent topics in Andrei Kapishnikov's work include Explainable Artificial Intelligence (XAI) (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Andrei Kapishnikov is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Andrei Kapishnikov collaborates with scholars based in United States, United Kingdom and Switzerland. Andrei Kapishnikov's co-authors include Fernanda Viégas, Michael Terry, Tolga Bolukbasi, Martin Wattenberg, Ulrich Paquet, Thomas McGrath, Adam Pearce, Nenad Tomašev, Demis Hassabis and Been Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences and arXiv (Cornell University).

In The Last Decade

Andrei Kapishnikov

3 papers receiving 174 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrei Kapishnikov United States 3 129 47 15 14 14 3 177
Elliot Creager Canada 6 131 1.0× 45 1.0× 14 0.9× 8 0.6× 5 0.4× 11 166
Shadman Sakib Bangladesh 8 84 0.7× 27 0.6× 4 0.3× 38 2.7× 2 0.1× 27 186
Roger Schaer Switzerland 7 63 0.5× 70 1.5× 5 0.3× 17 1.2× 14 1.0× 12 126
Heinrich Jiang United States 6 88 0.7× 35 0.7× 3 0.2× 5 0.4× 5 0.4× 16 135
Leonard Tang United States 5 106 0.8× 36 0.8× 9 0.6× 6 0.4× 2 0.1× 5 151
Matteo Stefanini Italy 5 108 0.8× 209 4.4× 6 0.4× 11 0.8× 2 0.1× 6 255
Fabrice Muhlenbach France 6 98 0.8× 38 0.8× 4 0.3× 6 0.4× 2 0.1× 14 141
Ilia Stepin Spain 4 183 1.4× 15 0.3× 33 2.2× 2 0.1× 3 0.2× 6 216
Matthäus Kleindeßner Germany 8 59 0.5× 27 0.6× 10 0.7× 4 0.3× 2 0.1× 12 119
Xiangru Tang United States 7 234 1.8× 31 0.7× 16 1.1× 6 0.4× 3 0.2× 22 317

Countries citing papers authored by Andrei Kapishnikov

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Kapishnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Kapishnikov

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

All Works

3 of 3 papers shown
1.
McGrath, Thomas, Andrei Kapishnikov, Nenad Tomašev, et al.. (2022). Acquisition of chess knowledge in AlphaZero. Proceedings of the National Academy of Sciences. 119(47). e2206625119–e2206625119. 51 indexed citations
2.
Kapishnikov, Andrei, Tolga Bolukbasi, Fernanda Viégas, & Michael Terry. (2019). XRAI: Better Attributions Through Regions. 4947–4956. 123 indexed citations
3.
Kapishnikov, Andrei, Tolga Bolukbasi, Fernanda Viégas, & Michael Terry. (2019). Segment Integrated Gradients: Better attributions through regions.. arXiv (Cornell University). 3 indexed citations

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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