Gemma Derrick

1.4k citations
56 papers · 930 · h-index 18

Impact in

Papers in

Gemma Derrick

54 papers receiving 887 citations

Peers

Gemma Derrick
Comparison fields: 5 of 118
  • Health Informatics 45
  • Statistics, Probability and Uncertainty 168
  • Management Science and Operations Research 119
  • Information Systems and Management 62
  • General Health Professions 151
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Yian Yin United States
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María Nedeva United Kingdom
Ho Fai Chan Australia
Juan Pablo Alperín Canada
Marco Seeber Norway
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Countries citing papers authored by Gemma Derrick

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Derrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201267
3 201564
4 201159
5 201156
6 201639
7 201138
8 201838
9 201335
10 201834
11 201929
12 202129
13 201327
14 201223
15 201422
16 201922
17 201819
18 201718
19 201917
20 202016

About Gemma Derrick

Gemma Derrick is a scholar working on Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty, Sociology and Political Science, Management Science and Operations Research and General Health Professions, having authored 56 papers that have together received 930 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Evaluation and Performance Assessment (10 papers), Health and Medical Research Impacts (8 papers), Ethics in Clinical Research (5 papers), Health Policy Implementation Science (4 papers), Community Development and Social Impact (4 papers), Focus Groups and Qualitative Methods (4 papers) and Social Media in Health Education (4 papers). The work is most often cited by research in Health Informatics (45 citations), Statistics, Probability and Uncertainty (168 citations), Management Science and Operations Research (119 citations), Information Systems and Management (62 citations) and General Health Professions (151 citations). Gemma Derrick has collaborated with scholars based in United Kingdom, Australia and Spain. Frequent co-authors include Gabrielle Samuel, Abby Haynes, Wayne Hall, Simon Chapman, Heidi Sturk, Sally Redman, James Gillespie, Vincenzo Pavone, Thed N. van Leeuwen and Koen Jonkers. Their work appears in journals such as Research Evaluation, Nature, Journal of Empirical Research on Human Research Ethics, PLoS ONE and Higher Education.

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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