Gavin Abercrombie

105 total papers · 1.7k total citations
64 papers, 1.0k citations indexed

About

Gavin Abercrombie is a scholar working on Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gavin Abercrombie has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gavin Abercrombie's work include Topic Modeling (13 papers), Hate Speech and Cyberbullying Detection (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Gavin Abercrombie is often cited by papers focused on Topic Modeling (13 papers), Hate Speech and Cyberbullying Detection (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Gavin Abercrombie collaborates with scholars based in Canada, United Kingdom and Italy. Gavin Abercrombie's co-authors include J. H. Hunt, Henrietta Hughes, Riza Batista-Navarro, Dirk Hovy, J. Vinnicombe, C A C Clyne, Verena Rieser, Stephen R. Payne, B. N. Davies and W. F. HENDRY and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Urology.

In The Last Decade

Gavin Abercrombie

57 papers receiving 873 citations

Hit Papers

College of General Practi... 1954 2026 1978 2002 1954 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gavin Abercrombie 214 188 183 141 110 64 1.0k
Milap Shah 87 0.4× 86 0.5× 153 0.8× 199 1.4× 120 1.1× 35 887
Carla Rognoni 139 0.6× 66 0.4× 51 0.3× 239 1.7× 131 1.2× 83 1.2k
Weranja Ranasinghe 206 1.0× 60 0.3× 49 0.3× 376 2.7× 38 0.3× 67 878
Sufyan Ibrahim 78 0.4× 85 0.5× 156 0.9× 86 0.6× 124 1.1× 48 813
Caitlin Bakker 162 0.8× 144 0.8× 19 0.1× 309 2.2× 143 1.3× 89 1.0k
Thomas J S Durant 127 0.6× 72 0.4× 94 0.5× 27 0.2× 118 1.1× 63 895
Peter W. Moorman 70 0.3× 200 1.1× 73 0.4× 43 0.3× 130 1.2× 34 840
Maureen O’Keeffe‐Rosetti 157 0.7× 181 1.0× 47 0.3× 95 0.7× 148 1.3× 46 1.0k
Carl E. Hopkins 176 0.8× 138 0.7× 23 0.1× 96 0.7× 57 0.5× 37 940
Peter Roeper 166 0.8× 165 0.9× 47 0.3× 26 0.2× 64 0.6× 39 1.0k

Countries citing papers authored by Gavin Abercrombie

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Abercrombie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin Abercrombie

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

All Works

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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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2026