Adam Fisch

130 total papers · 4.4k total citations
10 papers, 1.8k citations indexed

About

Adam Fisch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Adam Fisch has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in General Social Sciences. Recurrent topics in Adam Fisch's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Adam Fisch is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Adam Fisch collaborates with scholars based in United States and Israel. Adam Fisch's co-authors include Danqi Chen, Tianyu Gao, Antoine Bordes, Jason Weston, Eunsol Choi, Alon Talmor, Minjoon Seo, Robin Jia, Sumit Chopra and Keith Adams and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the AAAI Conference on Artificial Intelligence and Oxford University Press eBooks.

In The Last Decade

Adam Fisch

9 papers receiving 1.7k citations

Hit Papers

Reading Wikipedia to Answ... 2017 2026 2020 2023 2017 2021 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Adam Fisch 1.7k 550 254 73 43 10 1.8k
Tom Kwiatkowski 1.8k 1.1× 602 1.1× 235 0.9× 59 0.8× 33 0.8× 22 1.9k
Andrew M. Dai 1.2k 0.7× 443 0.8× 184 0.7× 44 0.6× 27 0.6× 10 1.3k
Oscar Täckström 1.5k 0.9× 364 0.7× 158 0.6× 86 1.2× 42 1.0× 19 1.7k
Abigail See 2.1k 1.2× 378 0.7× 271 1.1× 79 1.1× 25 0.6× 5 2.2k
Grégoire Mesnil 1.2k 0.7× 313 0.6× 324 1.3× 58 0.8× 24 0.6× 7 1.4k
Carina Silberer 1.1k 0.7× 243 0.4× 180 0.7× 108 1.5× 64 1.5× 20 1.4k
Yoav Artzi 1.5k 0.9× 562 1.0× 160 0.6× 48 0.7× 34 0.8× 32 1.7k
Yuxiang Wu 1.2k 0.7× 328 0.6× 128 0.5× 47 0.6× 41 1.0× 17 1.4k
Sewon Min 1.1k 0.6× 340 0.6× 168 0.7× 33 0.5× 31 0.7× 29 1.2k
Rami Al‐Rfou 1.3k 0.8× 346 0.6× 111 0.4× 46 0.6× 45 1.0× 18 1.6k

Countries citing papers authored by Adam Fisch

Since Specialization
Citations

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

Fields of papers citing papers by Adam Fisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Fisch

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