David Milward

1.3k total citations
34 papers, 641 citations indexed

About

David Milward is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, David Milward has authored 34 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 13 papers in Molecular Biology and 5 papers in Language and Linguistics. Recurrent topics in David Milward's work include Natural Language Processing Techniques (16 papers), Biomedical Text Mining and Ontologies (13 papers) and Semantic Web and Ontologies (13 papers). David Milward is often cited by papers focused on Natural Language Processing Techniques (16 papers), Biomedical Text Mining and Ontologies (13 papers) and Semantic Web and Ontologies (13 papers). David Milward collaborates with scholars based in United Kingdom, United States and Germany. David Milward's co-authors include James Thomas, Stephen Pulman, Christos Ouzounis, Mark Carroll, Jan A. Kors, Udo Hahn, Dietrich Rebholz‐Schuhmann, Erik M. van Mulligen, Peter Corbett and Elena Beißwanger and has published in prestigious journals such as Drug Discovery Today, Age and Ageing and Journal of Biomedical Informatics.

In The Last Decade

David Milward

30 papers receiving 579 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Milward United Kingdom	15	414	332	50	38	34	34	641
Frank W. Hartel United States	11	500 1.2×	629 1.9×	33 0.7×	48 1.3×	103 3.0×	15	857
Raul Rodriguez‐Esteban United States	13	127 0.3×	315 0.9×	107 2.1×	13 0.3×	11 0.3×	39	631
Jonathan Mortensen United States	9	184 0.4×	277 0.8×	50 1.0×	7 0.2×	33 1.0×	18	557
Mark Hepple United Kingdom	16	943 2.3×	312 0.9×	67 1.3×	46 1.2×	98 2.9×	62	1.1k
Kristina Hettne Netherlands	20	195 0.5×	570 1.7×	125 2.5×	8 0.2×	179 5.3×	52	991
Philippe Thomas Germany	12	252 0.6×	396 1.2×	59 1.2×	2 0.1×	12 0.4×	31	602
Heinz‐Theodor Mevissen Germany	6	223 0.5×	317 1.0×	40 0.8×	4 0.1×	14 0.4×	8	370
Roman Klinger Germany	17	671 1.6×	231 0.7×	68 1.4×	7 0.2×	60 1.8×	75	843
Pauline Kra United States	5	501 1.2×	723 2.2×	60 1.2×	13 0.3×	24 0.7×	7	811
Tomasz Adamusiak United States	11	140 0.3×	425 1.3×	38 0.8×	10 0.3×	34 1.0×	17	594

Countries citing papers authored by David Milward

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Milward

This figure shows the co-authorship network connecting the top 25 collaborators of David Milward. A scholar is included among the top collaborators of David Milward 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 David Milward. David Milward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Smit, Ines, et al.. (2024). Investigating deep-learning NLP for automating the extraction of oncology efficacy endpoints from scientific literature. Intelligence-Based Medicine. 10. 100152–100152.

Milward, David & Stephen Knight. (2023). IMPROVING ON PHRASE SPOTTING FOR SPOKEN DIALOGUE PROCESSING.

Davies, Jim, James Welch, David Milward, & Steve Harris. (2020). A formal, scalable approach to semantic interoperability. Science of Computer Programming. 192. 102426–102426. 6 indexed citations

Pamer, Carol, et al.. (2018). Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology. Journal of Biomedical Informatics. 83. 73–86. 38 indexed citations

Chang, Mei‐Ping, Man Kit Chang, J. Z. Reed, et al.. (2016). Developing timely insights into comparative effectiveness research with a text-mining pipeline. Drug Discovery Today. 21(3). 473–480. 15 indexed citations

Milward, David, et al.. (2015). Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge. Journal of Biomedical Informatics. 58. S120–S127. 32 indexed citations

Shivade, Chaitanya, et al.. (2014). Precise Medication Extraction using Agile Text Mining. 75–79. 2 indexed citations

Bayés, Àlex, Mark O. Collins, Clare Galtrey, et al.. (2014). Human post-mortem synapse proteome integrity screening for proteomic studies of postsynaptic complexes. Molecular Brain. 7(1). 88–88. 42 indexed citations

Rebholz‐Schuhmann, Dietrich, Simon Clematide, Fabio Rinaldi, et al.. (2013). Multilingual semantic resources and parallel corpora in the biomedical domain: The CLEF-ER challenge. CLEF (Working Notes). 3 indexed citations

10.

Kafkas, Şenay, Ian Lewin, David Milward, et al.. (2012). CALBC: Releasing the Final Corpora. 2923–2926. 3 indexed citations

11.

Rebholz‐Schuhmann, Dietrich, Antonio Jimeno Yepes, Erik M. van Mulligen, et al.. (2010). The CALBC Silver Standard Corpus for Biomedical Named Entities — A Study in Harmonizing the Contributions from Four Independent Named Entity Taggers. Language Resources and Evaluation. 14 indexed citations

12.

Milward, David, et al.. (2009). Mining Protein–Protein Interactions from Published Literature Using Linguamatics I2E. Methods in molecular biology. 563. 3–13. 21 indexed citations

13.

Rebholz‐Schuhmann, Dietrich, Erik M. van Mulligen, Kang Ning, et al.. (2009). The CALBC Silver Standard Corpus - Harmonizing multiple semantic annotations in a large biomedical corpus. 5 indexed citations

14.

Milward, David, et al.. (2005). Ontology‐based interactive information extraction from scientific abstracts. Comparative and Functional Genomics. 6(1-2). 67–71. 34 indexed citations

15.

Milward, David. (2001). Lonely nights in long-term care. Age and Ageing. 30(3). 271–272. 1 indexed citations

16.

Lewin, Ian, Pierrette Bouillon, Sabine Lehmann, David Milward, & Ludovic Tanguy. (1999). Discourse Data in DiET. HAL (Le Centre pour la Communication Scientifique Directe). 30(4). 352–9. 1 indexed citations

17.

Thomas, James, David Milward, Christos Ouzounis, Stephen Pulman, & Mark Carroll. (1999). Automatic Extraction of Protein Interactions from Scientific Abstracts. PubMed. 541–552. 178 indexed citations

18.

Becket, Ralph, Pierrette Bouillon, Harry Bratt, et al.. (1997). Spoken Language Translator: Phase Two Report. 4 indexed citations

19.

Milward, David. (1995). Incremental interpretation of Categorial Grammar. 119–119. 15 indexed citations

20.

Milward, David. (1994). Dynamic dependency grammar. Linguistics and Philosophy. 17(6). 561–605. 30 indexed citations

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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