David Milward
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Multi-Agent Systems and Negotiation
- Toxicology top 10%
Papers in
-
- Natural Language Processing Techniques 17
- Semantic Web and Ontologies 16
- Speech and dialogue systems 9
- Topic Modeling 8
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- Biomedical Text Mining and Ontologies 14
- Bioinformatics and Genomic Networks 5
- Co-authors
- James Thomas (3 shared papers)Stephen Pulman (1 shared paper)Christos Ouzounis (1 shared paper)Mark Carroll (1 shared paper)Marie‐Francine Moens (1 shared paper)Adam Wyner (1 shared paper)Jan A. Kors (6 shared papers)Erik M. van Mulligen (6 shared papers)
- Journals
- Science of Computer Programming (2 papers)Journal of Biomedical Informatics (2 papers)Age and Ageing (1 paper)Language Resources and Evaluation (1 paper)Comparative and Functional Genomics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Milward
35 papers receiving 787 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 552
- Toxicology 25
- Molecular Biology 362
- Language and Linguistics 55
- Health Information Management 16
Countries citing papers authored by David Milward
This map shows the geographic impact of David Milward'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 David Milward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Milward more than expected).
Fields of papers citing papers by David Milward
This network shows the impact of papers produced by David Milward. 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 David Milward. The network helps show where David Milward may publish in the future.
Co-authors
The 25 scholars most cited alongside David Milward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 208 | |
| 2 | 2010 | 107 | |
| 3 | 2010 | 76 | |
| 4 | 2001 | 48 | |
| 5 | 2014 | 45 | |
| 6 | 1994 | 43 | |
| 7 | 2018 | 40 | |
| 8 | 2005 | 35 | |
| 9 | 2015 | 34 | |
| 10 | 2009 | 23 | |
| 11 | 1994 | 22 | |
| 12 | 1992 | 21 | |
| 13 | 2000 | 19 | |
| 14 | 1994 | 16 | |
| 15 | 2013 | 16 | |
| 16 | 1995 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2000 | 15 | |
| 19 | 2010 | 15 | |
| 20 | 2014 | 12 |
About David Milward
David Milward is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Management Information Systems and Information Systems, having authored 40 papers that have together received 886 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (14 papers), Speech and dialogue systems (9 papers), Topic Modeling (8 papers), Bioinformatics and Genomic Networks (5 papers), Business Process Modeling and Analysis (4 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Artificial Intelligence (552 citations), Toxicology (25 citations), Molecular Biology (362 citations), Language and Linguistics (55 citations) and Health Information Management (16 citations). David Milward has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include James Thomas, Stephen Pulman, Christos Ouzounis, Mark Carroll, Marie‐Francine Moens, Adam Wyner, Jan A. Kors, Erik M. van Mulligen, Udo Hahn and Sylvia Knight. Their work appears in journals such as Science of Computer Programming, Journal of Biomedical Informatics, Age and Ageing, Language Resources and Evaluation and Comparative and Functional Genomics.
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.