Rob Abbott
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- General Social Sciences top 2%
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Social Media and Politics 3
- Co-authors
- Pranav Anand (6 shared papers)Marilyn Walker (5 shared papers)Marilyn Walker (2 shared papers)Joseph King (3 shared papers)Jean E. Fox Tree (3 shared papers)Jean Fox Tree (1 shared paper)Yingying Wang (1 shared paper)Michael Neff (1 shared paper)
- Journals
- Decision Support Systems (1 paper)Language Resources and Evaluation (1 paper)Lecture notes in computer science (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
- Partner nations
- United States
In The Last Decade
Rob Abbott
7 papers receiving 642 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 596
- General Social Sciences 28
- Communication 51
- Human-Computer Interaction 33
- Statistical and Nonlinear Physics 66
Countries citing papers authored by Rob Abbott
This map shows the geographic impact of Rob Abbott'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 Rob Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Abbott more than expected).
Fields of papers citing papers by Rob Abbott
This network shows the impact of papers produced by Rob Abbott. 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 Rob Abbott. The network helps show where Rob Abbott may publish in the future.
Co-authors
The 10 scholars most cited alongside Rob Abbott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 155 | |
| 2 | Cats Rule and Dogs Drool!: Classifying Stance in Online Debate | 2011 | 142 |
| 3 | Stance Classification using Dialogic Properties of Persuasion | 2012 | 128 |
| 4 | 2010 | 117 | |
| 5 | 2012 | 77 | |
| 6 | How can you say such things?!?: Recognizing Disagreement in Informal Political Argument | 2011 | 64 |
| 7 | 2016 | 40 |
About Rob Abbott
Rob Abbott is a scholar working on Artificial Intelligence, Communication, Social Psychology, Control and Systems Engineering and Literature and Literary Theory, having authored 7 papers that have together received 723 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Social Media and Politics (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Social Robot Interaction and HRI (1 paper), Discourse Analysis in Language Studies (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Language, Metaphor, and Cognition (1 paper). The work is most often cited by research in Artificial Intelligence (596 citations), General Social Sciences (28 citations), Communication (51 citations), Human-Computer Interaction (33 citations) and Statistical and Nonlinear Physics (66 citations). Rob Abbott has collaborated with scholars based in United States. Frequent co-authors include Pranav Anand, Marilyn Walker, Marilyn Walker, Joseph King, Jean E. Fox Tree, Jean Fox Tree, Yingying Wang, Michael Neff, Michael S. Minor and Craig Martell. Their work appears in journals such as Decision Support Systems, Language Resources and Evaluation, Lecture notes in computer science, North American Chapter of the Association for Computational Linguistics and Meeting 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.