Dominic Widdows
- Artificial Intelligence top 1%
- Infectious Diseases top 2%
- Dermatology top 1%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Trevor CohenYvonne E. CossartA. M. FieldBeate DorowKathleen J. FerraroRoger W. SchvaneveldtColin BannardTimothy Baldwin
- Topics
- Natural Language Processing Techniques (25 papers)Topic Modeling (24 papers)Biomedical Text Mining and Ontologies (14 papers)
- Partner nations
- United StatesGermanyAlgeria
In The Last Decade
Dominic Widdows
44 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 1.2k
- Infectious Diseases 687
- Dermatology 471
- Molecular Biology 419
- Pediatrics, Perinatology and Child Health 222
Countries citing papers authored by Dominic Widdows
This map shows the geographic impact of Dominic Widdows'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 Dominic Widdows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominic Widdows more than expected).
Fields of papers citing papers by Dominic Widdows
This network shows the impact of papers produced by Dominic Widdows. 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 Dominic Widdows. The network helps show where Dominic Widdows may publish in the future.
Co-authorship network of co-authors of Dominic Widdows
This figure shows the co-authorship network connecting the top 25 collaborators of Dominic Widdows. A scholar is included among the top collaborators of Dominic Widdows 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 Dominic Widdows. Dominic Widdows is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 23 | |
| 5 | 24 | |
| 6 | 59 | |
| 7 | Many paths lead to discovery : analogical retrieval of cancer therapies | 3 |
| 8 | Quantum informatics for cognitive, social, and semantic processes : papers from the AAAI Fall Symposium | 2 |
| 9 | Logical Leaps and Quantum Connectives: Forging Paths through Predication Space | 16 |
| 10 | 125 | |
| 11 | 12 | |
| 12 | Semantic Vectors: a Scalable Open Source Package and Online Technology Management Application. | 84 |
| 13 | Quantum Information Dynamics and Open World Science | 8 |
| 14 | Ongoing Developments in Automatically Adapting Lexical Resources to the Biomedical Domain | 1 |
| 15 | Collaborative Annotation that Lasts Forever: Using Peer-to-Peer Technology for Disseminating Corpora and Language Resources. | 1 |
| 16 | Geometric ordering of concepts, logical disjunction, and learning by induction | 4 |
| 17 | 3 | |
| 18 | Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction. | 17 |
| 19 | Visualisation Techniques for Analysing Meaning | 7 |
| 20 | Using Parallel Corpora to enrich Multilingual Lexical Resources. | 26 |
About Dominic Widdows
Dominic Widdows is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems and Management, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Biomedical Text Mining and Ontologies (14 papers). The work is most often cited by research in Dermatology (471 citations), Infectious Diseases (687 citations) and Artificial Intelligence (1.2k citations). Dominic Widdows has collaborated with scholars based in United States, Germany and Algeria. Frequent co-authors include Trevor Cohen, Yvonne E. Cossart, A. M. Field, Beate Dorow, Kathleen J. Ferraro, Roger W. Schvaneveldt, Colin Bannard, Timothy Baldwin, Takaaki Tanaka and Stanley Peters. Their work appears in journals such as The Lancet, Applied Sciences and Journal of Biomedical Informatics.
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.