Ben Allison
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 6
- Natural Language Processing Techniques 5
- Authorship Attribution and Profiling 5
- Speech and dialogue systems 2
- Advanced Text Analysis Techniques 1
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- Spam and Phishing Detection 3
- Co-authors
- Louise Guthrie (8 shared papers)David Guthrie (4 shared papers)Yorick Wilks (2 shared papers)Wei Liu (1 shared paper)Mark Steedman (2 shared papers)Lauren Leslie (1 shared paper)Subramanian Ramamoorthy (1 shared paper)Claire Grant (1 shared paper)
- Journals
- Language Resources and Evaluation (5 papers)Toxicology Letters (1 paper)Cognitive Science (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Edinburgh Research Explorer (University of Edinburgh) (2 papers)
- Partner nations
- United Kingdom
In The Last Decade
Ben Allison
14 papers receiving 217 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 182
- Computational Mathematics 2
- Information Systems 62
- Signal Processing 26
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Ben Allison
This map shows the geographic impact of Ben Allison'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 Ben Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Allison more than expected).
Fields of papers citing papers by Ben Allison
This network shows the impact of papers produced by Ben Allison. 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 Ben Allison. The network helps show where Ben Allison may publish in the future.
Co-authors
The 16 scholars most cited alongside Ben Allison, 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 | A Closer Look at Skip-gram Modelling | 2006 | 153 |
| 2 | Unsupervised anomaly detection | 2007 | 26 |
| 3 | 2006 | 17 | |
| 4 | Authorship Attribution of E-Mail: Comparing Classifiers over a New Corpus for Evaluation | 2008 | 11 |
| 5 | Using a Probabilistic Model of Context to Detect Word Obfuscation | 2008 | 6 |
| 6 | Unsupervised Learning-based Anomalous Arabic Text Detection | 2008 | 5 |
| 7 | Professor or Screaming Beast? Detecting Anomalous Words in Chinese. | 2008 | 5 |
| 8 | 2023 | 5 | |
| 9 | 2008 | 4 | |
| 10 | 2007 | 3 | |
| 11 | 2014 | 3 | |
| 12 | Generative Goal-Driven User Simulation for Dialog Management | 2012 | 2 |
| 13 | A Bayesian Model of the Effect of Object Context on Visual Attention | 2012 | 1 |
| 14 | 2014 | 1 |
About Ben Allison
Ben Allison is a scholar working on Artificial Intelligence, Information Systems, Social Psychology, Computer Networks and Communications and Molecular Biology, having authored 14 papers that have together received 242 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Authorship Attribution and Profiling (5 papers), Spam and Phishing Detection (3 papers), Speech and dialogue systems (2 papers), Advanced Text Analysis Techniques (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Artificial Intelligence (182 citations), Computational Mathematics (2 citations), Information Systems (62 citations), Signal Processing (26 citations) and Statistical and Nonlinear Physics (16 citations). Ben Allison has collaborated with scholars based in United Kingdom. Frequent co-authors include Louise Guthrie, David Guthrie, Yorick Wilks, Wei Liu, Wei Liu, Mark Steedman, Wei Liu, Lauren Leslie, Subramanian Ramamoorthy and Claire Grant. Their work appears in journals such as Language Resources and Evaluation, Toxicology Letters, Cognitive Science, International Joint Conference on Artificial Intelligence 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.