Angus Roberts

4.1k citations
92 papers · 2.7k · h-index 23

Impact in

Papers in

    • Topic Modeling 14
    • Semantic Web and Ontologies 13
    • Natural Language Processing Techniques 11
    • Machine Learning in Healthcare 11
    • Biomedical Text Mining and Ontologies 29

Angus Roberts

84 papers receiving 2.5k citations

Peers

Angus Roberts
Comparison fields: 5 of 144
  • Health Informatics 81
  • Artificial Intelligence 1.2k
  • Health Information Management 149
  • Toxicology 88
  • Information Systems and Management 121
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Citations per field
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Citations per year

Countries citing papers authored by Angus Roberts

Since Specialization
Citations

This map shows the geographic impact of Angus Roberts'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 Angus Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angus Roberts more than expected).

Fields of papers citing papers by Angus Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus Roberts. 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 Angus Roberts. The network helps show where Angus Roberts may publish in the future.

Co-authors

The 25 scholars most cited alongside Angus Roberts, 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 Angus Roberts Line = papers co-authored together Angus Roberts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012315
2 2013278
3 2017169
4 2018168
5 2013156
6 2003140
7 2009128
8 1996101
9
The CLEF corpus: semantic annotation of clinical text.
200795
10 201880
11 201578
12 201878
13 201377
14 202051
15 201943
16 201543
17
GALEN ten years on: tasks and supporting tools.
200139
18 200838
19 200836
20 200131

About Angus Roberts

Angus Roberts is a scholar working on Artificial Intelligence, Molecular Biology, Psychiatry and Mental health, Social Psychology and Health Information Management, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Topic Modeling (14 papers), Semantic Web and Ontologies (13 papers), Natural Language Processing Techniques (11 papers), Machine Learning in Healthcare (11 papers), Schizophrenia research and treatment (8 papers), Mental Health via Writing (6 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Health Informatics (81 citations), Artificial Intelligence (1.2k citations), Health Information Management (149 citations), Toxicology (88 citations) and Information Systems and Management (121 citations). Angus Roberts has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Robert Stewart, Valentin Tablan, Kalina Bontcheva, Hamish Cunningham, Robert Gaizauskas, Mark Hepple, Richard Jackson, Juliane Fluck, Luca Toldo and Harsha Gurulingappa. Their work appears in journals such as BMJ Open, Language Resources and Evaluation, Journal of Biomedical Informatics, Journal of the American Medical Informatics Association and BMC Medical Informatics and Decision Making.

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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