Eamon Costello

137 papers receiving 2.8k citations

Eamon Costello's Hit Papers

Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research 2025 · 27 citations
270+1Years since publication255075

Peers

Eamon Costello
Comparison fields: 5 of 147
  • Health Informatics 140
  • Infectious Diseases 1.4k
  • Computer Science Applications 433
  • Microbiology 300
  • Agronomy and Crop Science 356
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Ha Nguyen United States
Richard E. Reeve United Kingdom
Robert L. Burton United States
Alan J. Cann United Kingdom
Amadou Alpha Sall Senegal
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Eamon Costello relative to Ha Nguyen United States Ha Nguyen's profile →
Citations per field
00.5×2×4×6×8.8×
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Citations per year

Countries citing papers authored by Eamon Costello

Since Specialization
Citations

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

Fields of papers citing papers by Eamon Costello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023247
2 2020113
3
The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical Collective Stance to Better Navigate the Future
Hit paper breakdown →
202496
4 199991
5 200579
6 200471
7 200970
8 200369
9 201066
10 201566
11 201364
12 199859
13 200757
14 201453
15 200753
16 201953
17 200752
18 201251
19 200551
20 200850

About Eamon Costello

Eamon Costello is a scholar working on Computer Science Applications, Infectious Diseases, Epidemiology, Education and Information Systems, having authored 146 papers that have together received 3.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (41 papers), Online Learning and Analytics (39 papers), Online and Blended Learning (16 papers), Digital Education and Society (15 papers), Open Education and E-Learning (12 papers), Higher Education Practises and Engagement (12 papers) and Higher Education Learning Practices (11 papers). The work is most often cited by research in Health Informatics (140 citations), Infectious Diseases (1.4k citations), Computer Science Applications (433 citations), Microbiology (300 citations) and Agronomy and Crop Science (356 citations). Eamon Costello has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Eamonn P. Gormley, Leigh A. L. Corner, Mark Brown, Frances Quigley, Sandrine Lesellier, Orla M.J. Flynn, Enda Donlon, Simon J. More, James Brunton and J.D. Collins. Their work appears in journals such as Postdigital Science and Education, Veterinary Immunology and Immunopathology, Journal of Clinical Microbiology, Research in Veterinary Science and Veterinary Record.

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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