Joseph King
Impact in
- Developmental Biology top 10%
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
- Speech and dialogue systems
Papers in
-
- Sentiment Analysis and Opinion Mining 3
- Topic Modeling 2
- Natural Language Processing Techniques 1
-
- Social Media and Politics 2
- Co-authors
- Pranav Anand (4 shared papers)Rob Abbott (3 shared papers)Marilyn Walker (3 shared papers)Jean Fox Tree (1 shared paper)Grant McGuire (1 shared paper)Molly Babel (1 shared paper)Jean E. Fox Tree (2 shared papers)Craig Martell (2 shared papers)
- Journals
- Decision Support Systems (1 paper)The Journal of the Acoustical Society of America (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Joseph King
6 papers receiving 305 citations
Peers
Comparison fields: 5 of 45
- Developmental Biology 18
- Artificial Intelligence 260
- Experimental and Cognitive Psychology 60
- Communication 30
- Information Systems 57
Countries citing papers authored by Joseph King
This map shows the geographic impact of Joseph King'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 Joseph King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph King more than expected).
Fields of papers citing papers by Joseph King
This network shows the impact of papers produced by Joseph King. 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 Joseph King. The network helps show where Joseph King may publish in the future.
Co-authors
The 13 scholars most cited alongside Joseph King, 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 | 140 | |
| 2 | 2012 | 66 | |
| 3 | 2014 | 65 | |
| 4 | How can you say such things?!?: Recognizing Disagreement in Informal Political Argument | 2011 | 57 |
| 5 | Believe me: we can do this! annotating persuasive acts in blog text | 2011 | 19 |
| 6 | 1972 | 1 |
About Joseph King
Joseph King is a scholar working on Artificial Intelligence, Communication, Sociology and Political Science, Developmental Biology and Linguistics and Language, having authored 6 papers that have together received 348 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Social Media and Politics (2 papers), Topic Modeling (2 papers), Linguistic Variation and Morphology (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Natural Language Processing Techniques (1 paper), Misinformation and Its Impacts (1 paper) and Evolutionary Psychology and Human Behavior (1 paper). The work is most often cited by research in Developmental Biology (18 citations), Artificial Intelligence (260 citations), Experimental and Cognitive Psychology (60 citations), Communication (30 citations) and Information Systems (57 citations). Joseph King has collaborated with scholars based in United States and Canada. Frequent co-authors include Pranav Anand, Rob Abbott, Marilyn Walker, Jean Fox Tree, Grant McGuire, Molly Babel, Jean E. Fox Tree, Craig Martell, Jordan Boyd‐Graber and Philip Resnik. Their work appears in journals such as Decision Support Systems, The Journal of the Acoustical Society of America and PLoS ONE.
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.