Jeff Mitchell
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Cultural Studies top 5%
Papers in
-
- Topic Modeling 11
- Natural Language Processing Techniques 10
- Speech and dialogue systems 5
- Advanced Text Analysis Techniques 1
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- Language and cultural evolution 2
- Co-authors
- Mirella Lapata (4 shared papers)Sebastian Riedel (2 shared papers)Pontus Stenetorp (1 shared paper)Johannes Welbl (1 shared paper)Frank Keller (1 shared paper)Vera Demberg (1 shared paper)Jeffrey S. Bowers (2 shared papers)Mark Steedman (2 shared papers)
- Journals
- Cognitive Science (1 paper)Computers & Security (1 paper)UCL Discovery (University College London) (1 paper)Edinburgh Research Explorer (1 paper)Edinburgh Research Explorer (University of Edinburgh) (4 papers)
- Partner nations
- United KingdomJapan
In The Last Decade
Jeff Mitchell
11 papers receiving 1.0k citations
Jeff Mitchell's Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 1.0k
- Cultural Studies 54
- Computational Mathematics 3
- Experimental and Cognitive Psychology 64
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Jeff Mitchell
This map shows the geographic impact of Jeff Mitchell'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 Jeff Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Mitchell more than expected).
Fields of papers citing papers by Jeff Mitchell
This network shows the impact of papers produced by Jeff Mitchell. 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 Jeff Mitchell. The network helps show where Jeff Mitchell may publish in the future.
Co-authors
The 10 scholars most cited alongside Jeff Mitchell, 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 | Composition in Distributional Models of Semantics Hit paper breakdown → | 2010 | 551 |
| 2 | Vector-based Models of Semantic Composition Hit paper breakdown → | 2008 | 386 |
| 3 | 2018 | 60 | |
| 4 | 2009 | 55 | |
| 5 | Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure | 2010 | 41 |
| 6 | 2018 | 18 | |
| 7 | 2020 | 7 | |
| 8 | 2015 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 3 | |
| 11 | Learning Semantic Representations in a Bigram Language Model | 2013 | 1 |
| 12 | 2015 | 1 |
About Jeff Mitchell
Jeff Mitchell is a scholar working on Artificial Intelligence, Cultural Studies, Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Speech and dialogue systems (5 papers), Language and cultural evolution (2 papers), Advanced Text Analysis Techniques (1 paper), Neurobiology of Language and Bilingualism (1 paper), Advanced Malware Detection Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (1.0k citations), Cultural Studies (54 citations), Computational Mathematics (3 citations), Experimental and Cognitive Psychology (64 citations) and Computer Vision and Pattern Recognition (93 citations). Jeff Mitchell has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include Mirella Lapata, Sebastian Riedel, Pontus Stenetorp, Johannes Welbl, Frank Keller, Vera Demberg, Jeffrey S. Bowers, Mark Steedman, Niall McLaughlin and Jesús Martínez del Rincón. Their work appears in journals such as Cognitive Science, Computers & Security, UCL Discovery (University College London), Edinburgh Research Explorer and Edinburgh Research Explorer (University of Edinburgh).
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.