Rob Abbott
- Artificial Intelligence top 2%
- Information Systems top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Communication top 10%
- Co-authors
- Pranav AnandMarilyn WalkerJoseph KingJean E. Fox TreeJean Fox TreeMichael S. MinorCraig Martell
- Topics
- Sentiment Analysis and Opinion Mining (4 papers)Social Media and Politics (3 papers)Topic Modeling (3 papers)
- Journals
- Decision Support SystemsLanguage Resources and EvaluationNorth American Chapter of the Association for Computational Linguistics
- Partner nations
- United States
In The Last Decade
Rob Abbott
6 papers receiving 455 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 485
- Information Systems 94
- Sociology and Political Science 81
- Statistical and Nonlinear Physics 59
- Communication 47
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-authorship network of co-authors of Rob Abbott
This figure shows the co-authorship network connecting the top 25 collaborators of Rob Abbott. A scholar is included among the top collaborators of Rob Abbott 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 Rob Abbott. Rob Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Internet Argument Corpus 2.0: An SQL schema for Dialogic Social Media and the Corpora to go with it. | 36 |
| 2 | Stance Classification using Dialogic Properties of Persuasion | 113 |
| 3 | 66 | |
| 4 | A Corpus for Research on Deliberation and Debate | 139 |
| 5 | Cats Rule and Dogs Drool!: Classifying Stance in Online Debate | 121 |
| 6 | How can you say such things?!?: Recognizing Disagreement in Informal Political Argument | 57 |
About Rob Abbott
Rob Abbott is a scholar working on Communication, Computer Science Applications and Artificial Intelligence, having authored 6 papers that have together received 532 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Social Media and Politics (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (485 citations), General Social Sciences (23 citations) and Communication (47 citations). Rob Abbott has collaborated with scholars based in United States. Frequent co-authors include Pranav Anand, Marilyn Walker, Joseph King, Marilyn Walker, Jean E. Fox Tree, Jean Fox Tree, Michael S. Minor and Craig Martell. Their work appears in journals such as Decision Support Systems, Language Resources and Evaluation and North American Chapter 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.