Sara Rosenthal
- Artificial Intelligence top 0.5%
- Information Systems top 2%
- Sociology and Political Science top 5%
- Communication top 2%
- Social Psychology top 5%
- Co-authors
- Preslav NakovNoura FarraVeselin StoyanovAlan RitterMarcos ZampieriKathleen McKeownRitesh KumarShervin Malmasi
- Topics
- Topic Modeling (21 papers)Sentiment Analysis and Opinion Mining (14 papers)Advanced Text Analysis Techniques (10 papers)
- Journals
- Sexually Transmitted InfectionsLanguage Resources and EvaluationTransactions of the Association for Computational Linguistics
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Sara Rosenthal
32 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 2.3k
- Information Systems 428
- Sociology and Political Science 255
- Communication 220
- Social Psychology 215
Countries citing papers authored by Sara Rosenthal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 47 | |
| 5 | SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)breakdown → | 244 |
| 6 | 0 | |
| 7 | SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)breakdown → | 447 |
| 8 | SemEval-2017 Task 4: Sentiment Analysis in Twitterbreakdown → | 535 |
| 9 | 145 | |
| 10 | 234 | |
| 11 | Spanish Twitter Messages Polarized through the Lens of an English System. | 3 |
| 12 | SemEval-2014 Task 9: Sentiment Analysis in Twitterbreakdown → | 441 |
| 13 | 9 | |
| 14 | Columbia NLP: Sentiment Slot Filling. | 1 |
| 15 | Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media | 9 |
| 16 | Annotating Agreement and Disagreement in Threaded Discussion | 16 |
| 17 | 38 | |
| 18 | 33 | |
| 19 | 1 | |
| 20 | 22 |
About Sara Rosenthal
Sara Rosenthal is a scholar working on Artificial Intelligence, Communication and Computer Science Applications, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Communication (220 citations) and Information Systems (428 citations). Sara Rosenthal has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent 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. Their work appears in journals such as Sexually Transmitted Infections, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.
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.