Gavin Abercrombie

1.7k total citations · 1 hit paper
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 United Kingdom, Canada and Italy. Gavin Abercrombie's co-authors include Henrietta Hughes, J. H. Hunt, 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 876 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

College of General Practitioners

1954 351 citations Gavin Abercrombie et al. BMJ profile →

Peers

Gavin Abercrombie

SURGE

GHP

AI

PRM

PHEOH

Peter W. Moorman Netherlands

Caitlin Bakker United States

Drew Wright United States

Jane Lange United States

Mary Johnston Canada

Allison Hirst United Kingdom

Gerald B. Holzman United States

Patrick Jahn Germany

Hendrik Borgmann Germany

Skyler B. Johnson United States

Peter W. Moorman Netherlands

Gavin Abercrombie

71 ×0.3

SURGE

200 ×1.1

GHP

73 ×0.4

AI

43 ×0.3

PRM

130 ×1.2

PHEOH

Citations per year, relative to Gavin Abercrombie Gavin Abercrombie (= 1×) peers Peter W. Moorman

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Abercrombie, Gavin, et al.. (2024). Understanding Counterspeech for Online Harm Mitigation. SHILAP Revista de lepidopterología. 10(1). 1 indexed citations

2.

Abercrombie, Gavin, et al.. (2024). Re-examining Sexism and Misogyny Classification with Annotator Attitudes. 15103–15125.

3.

Abercrombie, Gavin, et al.. (2024). Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection. Edinburgh Research Explorer (University of Edinburgh). 275–282. 2 indexed citations

4.

Abercrombie, Gavin, et al.. (2024). NLP for Counterspeech against Hate: A Survey and How-To Guide. Institutional Research Information System (Università degli Studi di Trento). 3480–3499. 1 indexed citations

5.

Plaza-del-Arco, Flor Miriam, et al.. (2024). Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution. 7682–7696. 3 indexed citations

6.

Abercrombie, Gavin, Dirk Hovy, & Vinodkumar Prabhakaran. (2023). Temporal and Second Language Influence on Intra-Annotator Agreement and Stability in Hate Speech Labelling. 2 indexed citations

7.

Abercrombie, Gavin, Valerio Basile, Tommaso Fornaciari, et al.. (2023). SemEval-2023 Task 11: Learning with Disagreements (LeWiDi). 2304–2318. 20 indexed citations

8.

Abercrombie, Gavin, et al.. (2023). Resources for Automated Identification of Online Gender-Based Violence: A Systematic Review. 2 indexed citations

9.

Abercrombie, Gavin, et al.. (2023). Mirages. On Anthropomorphism in Dialogue Systems. 4776–4790. 15 indexed citations

10.

Abercrombie, Gavin, et al.. (2023). iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?. 1660–1669. 2 indexed citations

11.

Abercrombie, Gavin, Shannon Spruit, Dirk Hovy, et al.. (2022). Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design. 39–52. 6 indexed citations

12.

Dinan, Emily, Gavin Abercrombie, Shannon Spruit, et al.. (2022). SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4113–4133. 24 indexed citations

13.

Abercrombie, Gavin & Verena Rieser. (2022). Risk-graded Safety for Handling Medical Queries in Conversational AI. 234–243. 2 indexed citations

14.

Abercrombie, Gavin. (2016). A rule-based shallow-transfer machine translation system for Scots and English. Language Resources and Evaluation. 578–584. 3 indexed citations

15.

Thomas, David J. & Gavin Abercrombie. (1992). Simple Technique for Everting a Spout Ileostomy. British Journal of Urology. 70(4). 454–455. 2 indexed citations

16.

Payne, Stephen R., et al.. (1989). Urinary retention and the lunisolar cycle: is it a lunatic phenomenon?. BMJ. 299(6715). 1560–1562. 20 indexed citations

17.

Timoney, Anthony G., et al.. (1989). The “Plain Film” Bladder Shadow in Outflow Obstruction: as Accurate a Discriminant of Residual Urine as Ultrasound. British Journal of Urology. 63(4). 363–366. 7 indexed citations

18.

Abercrombie, Gavin, Ian Eardley, Stephen R. Payne, B.H. Walmsley, & J. Vinnicombe. (1988). Modified Nephro‐ureterectomy. Long‐term Follow‐up with Particular Reference to Subsequent Bladder Tumours. British Journal of Urology. 61(3). 198–200. 39 indexed citations

19.

Abercrombie, Gavin & W. F. HENDRY. (1971). URETERIC OBSTRUCTION DUE TO PERI‐ANEURYSMAL FIBROSIS. British Journal of Urology. 43(2). 170–173. 30 indexed citations

20.

Abercrombie, Gavin. (1963). “Without Prejudice”. BMJ. 2(5371). 1536.5–1536.

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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