Payam Abrishami

412 citations
21 papers · 222 · h-index 9

Impact in

Papers in

Payam Abrishami

21 papers receiving 217 citations

Peers

Payam Abrishami
Comparison fields: 5 of 78
  • Medical Laboratory Technology 7
  • Economics and Econometrics 71
  • Health Informatics 2
  • Oncology 28
  • General Health Professions 21
Replace Renske M.T. ten Ham with:
Renske M.T. ten Ham Netherlands
Carole Longson United Kingdom
Karen V. MacDonald Canada
Nanthini Thevi Bhoo-Pathy Malaysia
Andrew Dervan United States
Juan Javier‐Desloges United States
Juan Carlos Rejón-Parrilla United Kingdom
Panagiota Zygoura Greece
Tomos Robinson United Kingdom
David Tyas United Kingdom
Payam Abrishami relative to Renske M.T. ten Ham Netherlands Renske M.T. ten Ham's profile →
Citations per field
00.5×4.5×
Renske M.T. ten Ham · 1×
Citations per year

Countries citing papers authored by Payam Abrishami

Since Specialization
Citations

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

Fields of papers citing papers by Payam Abrishami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 200935
3 201234
4 202018
5 201916
6 201713
7 201411
8 20199
9 20239
10 20227
11 20115
12 20143
13 20243
14 20243
15 20182
16 20122
17 20111
18 20181
19 20221
20 20081

About Payam Abrishami

Payam Abrishami is a scholar working on Economics and Econometrics, Physiology, Biomedical Engineering, Surgery and Oncology, having authored 21 papers that have together received 222 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Biomedical Ethics and Regulation (5 papers), Biomedical and Engineering Education (4 papers), Surgical Simulation and Training (2 papers), Science, Research, and Medicine (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Pharmaceutical Economics and Policy (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Medical Laboratory Technology (7 citations), Economics and Econometrics (71 citations), Health Informatics (2 citations), Oncology (28 citations) and General Health Professions (21 citations). Payam Abrishami has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Klasien Horstman, Stefan Sauerland, Frank Hulstaert, Alistair J. Cochran, M. Gorre, Hans Van Brabandt, Michael L. Opel, Mirjana Huić, Stephen S. Koh and Hindrik Vondeling. Their work appears in journals such as International Journal of Technology Assessment in Health Care, Value in Health, Social Science & Medicine, International Journal of Health Policy and Management and BMJ Open.

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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