Ben Allison

451 citations
17 papers · 310 · h-index 7

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Authorship Attribution and Profiling
    • Text and Document Classification Technologies

Papers in

    • Topic Modeling 9
    • Natural Language Processing Techniques 7
    • Authorship Attribution and Profiling 5
    • Speech Recognition and Synthesis 3
    • Speech and dialogue systems 2
    • Text and Document Classification Technologies 2
    • Sentiment Analysis and Opinion Mining 1
    • Spam and Phishing Detection 3

Ben Allison

17 papers receiving 282 citations

Peers

Ben Allison
Comparison fields: 5 of 68
  • Artificial Intelligence 239
  • Computational Mathematics 2
  • Information Systems 74
  • Signal Processing 30
  • Statistical and Nonlinear Physics 23
Replace David Guthrie with:
David Guthrie United Kingdom
Stephen Tratz United States
Sebastian Spiegler United Kingdom
Carmine Cesarano Italy
Fengmei Jin Hong Kong
Aleksandr Drozd Japan
George Paliouras Greece
Tyler Neylon United States
Srishti Vashishtha India
Ben Allison relative to David Guthrie United Kingdom David Guthrie's profile →
Citations per field
00.5×1.5×
David Guthrie · 1×
Citations per year

Countries citing papers authored by Ben Allison

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 17 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.

Border = papers with Ben Allison Line = papers co-authored together Ben Allison links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006181
2
Unsupervised anomaly detection
200730
3 200623
4 200617
5 200812
6 20087
7 20086
8 20086
9 20086
10 20236
11 20085
12 20073
13 20143
14
Generative Goal-Driven User Simulation for Dialog Management
20122
15
A Bayesian Model of the Effect of Object Context on Visual Attention
20121
16 20081
17 20141

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 17 papers that have together received 310 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Authorship Attribution and Profiling (5 papers), Spam and Phishing Detection (3 papers), Speech Recognition and Synthesis (3 papers), Speech and dialogue systems (2 papers), Text and Document Classification Technologies (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (239 citations), Computational Mathematics (2 citations), Information Systems (74 citations), Signal Processing (30 citations) and Statistical and Nonlinear Physics (23 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, Moreno I. Coco, Frank Keller and Lauren Leslie. Their work appears in journals such as Language Resources and Evaluation, Toxicology Letters, Cognitive Science, Lecture notes in computer science and International Joint Conference on Artificial Intelligence.

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.

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