Stephen Merry

63 papers receiving 2.4k citations

Peers

Stephen Merry
Comparison fields: 5 of 161
  • Education 1.6k
  • Developmental and Educational Psychology 322
  • Family Practice 49
  • Emergency Medical Services 135
  • Computer Science Applications 88
Replace Nasrin Shokrpour with:
Nasrin Shokrpour Iran
James Scott United States
Anders Jönsson Sweden
David W. Johnson Canada
Laura A. Taylor United States
James J. Gallagher United States
Samy A. Azer Saudi Arabia
Sharon Andrew Australia
Susan Schultz Canada
Julie A. Gray United Kingdom
Stephen Merry relative to Nasrin Shokrpour Iran Nasrin Shokrpour's profile →
Citations per field
00.5×4.2×
Nasrin Shokrpour · 1×
Citations per year

Countries citing papers authored by Stephen Merry

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Merry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996237
2
Feedback in Higher and Professional Education: Understanding it and Doing it Well
2016205
3 2000205
4 2002201
5 2014194
6 2010181
7 2005177
8 1997119
9 1985103
10 200895
11
Reconceptualising Feedback in Higher Education : Developing dialogue with students
201390
12 201090
13 200480
14 201859
15 201251
16 200841
17 198639
18 198639
19 199138
20 201232

About Stephen Merry

Stephen Merry is a scholar working on Emergency Medical Services, Human Factors and Ergonomics, Education, Health and Emergency Medicine, having authored 67 papers that have together received 2.7k indexed citations. Recurring topics across this work include Student Assessment and Feedback (13 papers), Evaluation of Teaching Practices (10 papers), Reflective Practices in Education (8 papers), Global Health Workforce Issues (7 papers), Global Health and Surgery (7 papers), Innovative Teaching Methods (6 papers), Innovations in Medical Education (4 papers) and Higher Education Learning Practices (4 papers). The work is most often cited by research in Education (1.6k citations), Developmental and Educational Psychology (322 citations), Family Practice (49 citations), Emergency Medical Services (135 citations) and Computer Science Applications (88 citations). Stephen Merry has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul Orsmond, Kevin Reiling, S.B. Kaye, Adam P. Sawatsky, James E. Rohrer, R. Ian Freshney, David J. Rosenman, Furman S. McDonald, Stuart Kaye and Tom D. Thacher. Their work appears in journals such as Assessment & Evaluation in Higher Education, British Journal of Cancer, Journal of Primary Care & Community Health, Journal of Evaluation in Clinical Practice and Studies in 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026