Sara Rosenthal

52 total papers · 4.7k total citations
34 papers, 2.5k citations indexed

About

Sara Rosenthal is a scholar working on Artificial Intelligence, Communication and Molecular Biology. According to data from OpenAlex, Sara Rosenthal has authored 34 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 4 papers in Communication and 3 papers in Molecular Biology. Recurrent topics in Sara Rosenthal's work include Topic Modeling (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Natural Language Processing Techniques (10 papers). Sara Rosenthal is often cited by papers focused on Topic Modeling (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Natural Language Processing Techniques (10 papers). Sara Rosenthal collaborates with scholars based in United States, United Kingdom and Canada. Sara Rosenthal's co-authors include Preslav Nakov, Noura Farra, Alan Ritter, Veselin Stoyanov, Marcos Zampieri, Kathleen McKeown, Ritesh Kumar, Shervin Malmasi, Saif M. Mohammad and Svetlana Kiritchenko and has published in prestigious journals such as Sexually Transmitted Infections, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Sara Rosenthal

32 papers receiving 2.3k citations

Hit Papers

SemEval-2017 Task 4: Sent... 2014 2026 2018 2022 2017 2019 2014 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Sara Rosenthal 2.3k 429 253 221 215 34 2.5k
Lucas Dixon 1.8k 0.8× 549 1.3× 213 0.8× 197 0.9× 110 0.5× 33 2.5k
Viviana Patti 2.4k 1.0× 543 1.3× 332 1.3× 364 1.6× 280 1.3× 129 2.7k
María Teresa Martín Valdivia 1.8k 0.8× 459 1.1× 207 0.8× 97 0.4× 156 0.7× 117 2.2k
Walid Magdy 1.8k 0.8× 612 1.4× 319 1.3× 232 1.0× 129 0.6× 100 2.2k
David Milne 1.9k 0.8× 638 1.5× 337 1.3× 455 2.1× 266 1.2× 52 2.9k
Kareem Darwish 2.1k 0.9× 509 1.2× 304 1.2× 199 0.9× 77 0.4× 88 2.4k
Dirk Hovy 3.0k 1.3× 517 1.2× 374 1.5× 303 1.4× 346 1.6× 110 3.5k
Petr Sojka 1.7k 0.7× 493 1.1× 298 1.2× 127 0.6× 115 0.5× 81 2.7k
Patrick Hanks 3.1k 1.3× 563 1.3× 318 1.3× 118 0.5× 112 0.5× 72 4.7k
Radim Řehůřek 1.6k 0.7× 489 1.1× 298 1.2× 128 0.6× 113 0.5× 13 2.4k

Countries citing papers authored by Sara Rosenthal

Since Specialization
Citations

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

Fields of papers citing papers by Sara Rosenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Rosenthal

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