Frank Sandmann

1.9k citations
30 papers · 366 · h-index 13

Impact in

Papers in

Frank Sandmann

27 papers receiving 357 citations

Peers

Frank Sandmann
Comparison fields: 5 of 78
  • Modeling and Simulation 57
  • Infectious Diseases 96
  • Health 32
  • Economics and Econometrics 73
  • Microbiology 13
Replace Shazaad Ahmad with:
Shazaad Ahmad United Kingdom
Hakjun Hyun South Korea
Vittoria Offeddu United Kingdom
Marcello Tirani Italy
Reiko Miyahara Japan
Haleema Alserehi Saudi Arabia
Tristan D. McPherson United States
Ghassan Wali Saudi Arabia
Sami Almudarra Saudi Arabia
Sharon Hui Xuan Tan Singapore
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Citations per field
00.5×4.9×
Shazaad Ahmad · 1×
Citations per year

Countries citing papers authored by Frank Sandmann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Sandmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 202130
3 201728
4 201327
5 202325
6 202024
7 201824
8 202322
9 202219
10 202318
11 201416
12 202215
13 201812
14 201711
15 202011
16 20236
17 20196
18 20136
19 20215
20 20244

About Frank Sandmann

Frank Sandmann is a scholar working on Economics and Econometrics, Infectious Diseases, General Health Professions, Epidemiology and Modeling and Simulation, having authored 30 papers that have together received 366 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), COVID-19 epidemiological studies (4 papers), Healthcare Policy and Management (4 papers), Pharmaceutical Economics and Policy (3 papers), Global Health Care Issues (2 papers), COVID-19 and healthcare impacts (2 papers), Bacterial Infections and Vaccines (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Infectious Diseases (96 citations), Health (32 citations), Economics and Econometrics (73 citations) and Microbiology (13 citations). Frank Sandmann has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Mark Jit, Julie V. Robotham, Sarah R Deeny, W. John Edmunds, M Franken, Marc Koopmanschap, Rosanna C. Barnard, Carl A. B. Pearson, Stefan Flasche and Yang Liu. Their work appears in journals such as Clinical Infectious Diseases, Value in Health, The Lancet Regional Health - Europe, Cost Effectiveness and Resource Allocation and International Journal of Health Policy and Management.

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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