Rachel Rudinger

102 total papers · 1.1k total citations
29 papers, 442 citations indexed

About

Rachel Rudinger is a scholar working on Artificial Intelligence, Political Science and International Relations and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rachel Rudinger has authored 29 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 3 papers in Political Science and International Relations and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rachel Rudinger's work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (5 papers). Rachel Rudinger is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (5 papers). Rachel Rudinger collaborates with scholars based in United States, United Kingdom and Germany. Rachel Rudinger's co-authors include Benjamin Van Durme, Sheng Zhang, Francis Ferraro, Aaron Steven White, Kevin Duh, Pushpendre Rastogi, Kyle Rawlins, Hal Daumé, Ellie Pavlick and Adam Poliak and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, National Research Council Canada (Government of Canada) and arXiv (Cornell University).

In The Last Decade

Rachel Rudinger

25 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Rachel Rudinger 412 64 25 19 17 29 442
Melissa Roemmele 311 0.8× 101 1.6× 20 0.8× 8 0.4× 28 1.6× 20 417
Rishi Bommasani 326 0.8× 36 0.6× 39 1.6× 15 0.8× 19 1.1× 15 424
Tuhin Chakrabarty 332 0.8× 97 1.5× 46 1.8× 17 0.9× 24 1.4× 30 419
Arkadiusz Janz 288 0.7× 21 0.3× 36 1.4× 12 0.6× 36 2.1× 19 448
Alham Fikri Aji 380 0.9× 78 1.2× 45 1.8× 8 0.4× 13 0.8× 36 438
Or Biran 352 0.9× 22 0.3× 47 1.9× 8 0.4× 26 1.5× 18 417
Anne Lauscher 380 0.9× 53 0.8× 52 2.1× 12 0.6× 27 1.6× 40 487
Wangchunshu Zhou 376 0.9× 170 2.7× 29 1.2× 9 0.5× 18 1.1× 37 466
Renfen Hu 330 0.8× 32 0.5× 54 2.2× 13 0.7× 26 1.5× 19 404
Reid Pryzant 318 0.8× 75 1.2× 52 2.1× 16 0.8× 43 2.5× 15 434

Countries citing papers authored by Rachel Rudinger

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Rudinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Rudinger

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