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
- Toxicology top 10%
Papers in
-
- Natural Language Processing Techniques 16
- Semantic Web and Ontologies 13
- Speech and dialogue systems 8
- Topic Modeling 7
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- Biomedical Text Mining and Ontologies 13
- Bioinformatics and Genomic Networks 5
- Co-authors
- James Thomas (3 shared papers)Christos Ouzounis (1 shared paper)Mark Carroll (1 shared paper)Stephen Pulman (1 shared paper)Udo Hahn (5 shared papers)Jan A. Kors (5 shared papers)Dietrich Rebholz‐Schuhmann (5 shared papers)Erik M. van Mulligen (5 shared papers)
- Journals
- Science of Computer Programming (2 papers)Journal of Biomedical Informatics (2 papers)Drug Discovery Today (1 paper)Language Resources and Evaluation (1 paper)Age and Ageing (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Milward
30 papers receiving 579 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 414
- Toxicology 26
- Molecular Biology 332
- Health Informatics 5
- Language and Linguistics 38
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 178 | |
| 2 | 2010 | 65 | |
| 3 | 2014 | 42 | |
| 4 | 2018 | 38 | |
| 5 | 2005 | 34 | |
| 6 | 2015 | 32 | |
| 7 | 2001 | 32 | |
| 8 | 1994 | 30 | |
| 9 | 2009 | 21 | |
| 10 | 1994 | 17 | |
| 11 | 1992 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 1995 | 15 | |
| 14 | 2000 | 15 | |
| 15 | The CALBC Silver Standard Corpus for Biomedical Named Entities — A Study in Harmonizing the Contributions from Four Independent Named Entity Taggers | 2010 | 14 |
| 16 | 1994 | 14 | |
| 17 | 2000 | 13 | |
| 18 | 2014 | 10 | |
| 19 | 2020 | 6 | |
| 20 | The CALBC Silver Standard Corpus - Harmonizing multiple semantic annotations in a large biomedical corpus | 2009 | 5 |
About David Milward
David Milward is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Computational Theory and Mathematics and Management Information Systems, having authored 34 papers that have together received 641 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Semantic Web and Ontologies (13 papers), Biomedical Text Mining and Ontologies (13 papers), Speech and dialogue systems (8 papers), Topic Modeling (7 papers), Bioinformatics and Genomic Networks (5 papers), Business Process Modeling and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Artificial Intelligence (414 citations), Toxicology (26 citations), Molecular Biology (332 citations), Health Informatics (5 citations) and Language and Linguistics (38 citations). David Milward has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include James Thomas, Christos Ouzounis, Mark Carroll, Stephen Pulman, Udo Hahn, Jan A. Kors, Dietrich Rebholz‐Schuhmann, Erik M. van Mulligen, Antonio Jimeno Yepes and Elena Beißwanger. Their work appears in journals such as Science of Computer Programming, Journal of Biomedical Informatics, Drug Discovery Today, Language Resources and Evaluation and Age and Ageing.
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.