Iz Beltagy

73 total papers · 7.1k total citations
16 papers, 1.9k citations indexed

About

Iz Beltagy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Iz Beltagy has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Iz Beltagy's work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Iz Beltagy is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Iz Beltagy collaborates with scholars based in United States, Germany and Canada. Iz Beltagy's co-authors include Arman Cohan, Kyle Lo, Giuseppe Carenini, Xiao Wen, Lucy Lu Wang, Matthew E. Peters, Bailey Kuehl, Ana Marasović, Doug Downey and Jay DeYoung and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Iz Beltagy

15 papers receiving 1.8k citations

Hit Papers

SciBERT: A Pretrained Lan... 2019 2026 2021 2023 2019 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Iz Beltagy 1.6k 507 228 120 104 16 1.9k
Kyle Lo 1.9k 1.2× 616 1.2× 306 1.3× 171 1.4× 133 1.3× 43 2.5k
Arman Cohan 1.8k 1.2× 573 1.1× 272 1.2× 128 1.1× 120 1.2× 73 2.3k
Xiaodong Liu 1.9k 1.2× 496 1.0× 173 0.8× 391 3.3× 51 0.5× 25 2.4k
Shaoxiong Ji 1.7k 1.1× 179 0.4× 342 1.5× 207 1.7× 235 2.3× 26 2.5k
Liang Yao 1.4k 0.9× 229 0.5× 268 1.2× 236 2.0× 52 0.5× 35 1.9k
David Ferrucci 1.8k 1.2× 368 0.7× 531 2.3× 238 2.0× 201 1.9× 31 2.5k
Radim Řehůřek 1.6k 1.0× 197 0.4× 489 2.1× 182 1.5× 95 0.9× 13 2.4k
Matt J. Kusner 1.1k 0.7× 82 0.2× 246 1.1× 314 2.6× 89 0.9× 26 1.7k
Adam Lally 1.4k 0.9× 304 0.6× 432 1.9× 151 1.3× 149 1.4× 17 1.8k
Christopher Meek 1.6k 1.0× 231 0.5× 574 2.5× 345 2.9× 296 2.8× 41 2.5k

Countries citing papers authored by Iz Beltagy

Since Specialization
Citations

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

Fields of papers citing papers by Iz Beltagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iz Beltagy

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