Sara Rosenthal

4.7k total citations · 4 hit papers
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 Advanced Text Analysis Techniques (10 papers). Sara Rosenthal is often cited by papers focused on Topic Modeling (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Advanced Text Analysis Techniques (10 papers). Sara Rosenthal collaborates with scholars based in United States, United Kingdom and Denmark. Sara Rosenthal's co-authors include Preslav Nakov, Noura Farra, Veselin Stoyanov, Alan Ritter, 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: Sentiment Analysis in Twitter 2014 2026 2018 2022 2017 2019 2014 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Rosenthal United States 16 2.3k 428 255 220 215 34 2.5k
Viviana Patti Italy 25 2.4k 1.0× 543 1.3× 334 1.3× 366 1.7× 282 1.3× 128 2.7k
Luís Alfonso Ureña López Spain 24 1.9k 0.8× 480 1.1× 181 0.7× 95 0.4× 137 0.6× 153 2.2k
Walid Magdy United Kingdom 25 1.8k 0.8× 614 1.4× 321 1.3× 235 1.1× 129 0.6× 100 2.2k
Kareem Darwish Qatar 27 2.1k 0.9× 509 1.2× 304 1.2× 201 0.9× 77 0.4× 88 2.4k
Elisabetta Fersini Italy 17 1.2k 0.5× 265 0.6× 194 0.8× 137 0.6× 160 0.7× 60 1.4k
Valerio Basile Italy 22 1.8k 0.8× 316 0.7× 205 0.8× 279 1.3× 219 1.0× 76 2.0k
Véronique Hoste Belgium 25 2.9k 1.2× 371 0.9× 181 0.7× 112 0.5× 425 2.0× 167 3.2k
Leon Derczynski United Kingdom 23 2.3k 1.0× 522 1.2× 507 2.0× 193 0.9× 89 0.4× 72 2.7k
Cristina Bosco Italy 17 1.7k 0.7× 250 0.6× 209 0.8× 238 1.1× 152 0.7× 92 1.8k
Felipe Bravo-Márquez Chile 17 1.2k 0.5× 309 0.7× 263 1.0× 51 0.2× 198 0.9× 41 1.5k

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

20 of 20 papers shown
1.
Rosenthal, Sara, Avirup Sil, Radu Florian, & Salim Roukos. (2025). CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems. Transactions of the Association for Computational Linguistics. 13. 53–72. 1 indexed citations
2.
Zampieri, Marcos, et al.. (2023). Target-Based Offensive Language Identification. 762–770. 3 indexed citations
3.
Zampieri, Marcos, et al.. (2023). OffensEval 2023: Offensive language identification in the age of Large Language Models. Natural Language Engineering. 29(6). 1416–1435. 7 indexed citations
4.
Rosenthal, Sara, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, & Preslav Nakov. (2021). SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. Research at the University of Copenhagen (University of Copenhagen). 915–928. 47 indexed citations
5.
Zampieri, Marcos, Preslav Nakov, Sara Rosenthal, et al.. (2020). SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). Research at the University of Copenhagen (University of Copenhagen). 1425–1447. 244 indexed citations breakdown →
6.
Rosenthal, Sara, Subhro Das, Pei-Yun Hsueh, Ken Barker, & Ching-Hua Chen. (2020). Efficient goal attainment and engagement in a care manager system using unstructured notes. JAMIA Open. 3(1). 62–69.
7.
Zampieri, Marcos, Shervin Malmasi, Preslav Nakov, et al.. (2019). SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). 75–86. 447 indexed citations breakdown →
8.
Rosenthal, Sara, Noura Farra, & Preslav Nakov. (2017). SemEval-2017 Task 4: Sentiment Analysis in Twitter. 502–518. 535 indexed citations breakdown →
9.
Nakov, Preslav, et al.. (2016). SemEval-2016 Task 4: Sentiment Analysis in Twitter. arXiv (Cornell University). 1–18. 145 indexed citations
10.
Rosenthal, Sara, Preslav Nakov, Svetlana Kiritchenko, et al.. (2015). SemEval-2015 Task 10: Sentiment Analysis in Twitter. 451–463. 234 indexed citations
11.
Biran, Or, et al.. (2015). Spanish Twitter Messages Polarized through the Lens of an English System.. 81–86. 3 indexed citations
12.
Rosenthal, Sara, Alan Ritter, Preslav Nakov, & Veselin Stoyanov. (2014). SemEval-2014 Task 9: Sentiment Analysis in Twitter. 73–80. 441 indexed citations breakdown →
13.
Rosenthal, Sara, Kathy McKeown, & Apoorv Agarwal. (2014). Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media. 198–202. 9 indexed citations
14.
Rosenthal, Sara, et al.. (2013). Columbia NLP: Sentiment Slot Filling.. Theory and applications of categories. 1 indexed citations
15.
Rosenthal, Sara & Kathy McKeown. (2013). Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media. Joint Conference on Lexical and Computational Semantics. 478–482. 9 indexed citations
16.
Andreas, Jacob, Sara Rosenthal, & Kathleen McKeown. (2012). Annotating Agreement and Disagreement in Threaded Discussion. Language Resources and Evaluation. 818–822. 16 indexed citations
17.
Rosenthal, Sara & Kathleen McKeown. (2012). Detecting Opinionated Claims in Online Discussions. Columbia Academic Commons (Columbia University). 30–37. 38 indexed citations
18.
Biran, Or, Sara Rosenthal, Jacob Andreas, Kathleen McKeown, & Owen Rambow. (2012). Detecting Influencers in Written Online Conversations. Columbia Academic Commons (Columbia University). 37–45. 33 indexed citations
19.
Mindel, Adrian, et al.. (2011). P2-S8.08 Reducing the stigma of herpes simplex virus (HSV) infection through brief publicly-generated videos. Sexually Transmitted Infections. 87(Suppl 1). A259.1–A259. 1 indexed citations
20.
Thadani, Kapil, et al.. (2010). Time-Efficient Creation of an Accurate Sentence Fusion Corpus. Columbia Academic Commons (Columbia University). 317–320. 22 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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