Thomas Czypionka

3.2k citations
94 papers · 1.6k indexed · 1 hit paper · h-index 20

Thomas Czypionka

78 papers receiving 1.5k citations

Hit Papers

Face masks for the public during the covid-19 crisis4062020202620222024100200300400

Peers

Thomas Czypionka
Comparison fields: 5 of 155
  • Modeling and Simulation 246
  • General Health Professions 560
  • Economics and Econometrics 417
  • Health 97
  • Infectious Diseases 189
Replace Shahul H. Ebrahim with:
Shahul H. Ebrahim United States
Adriano Massuda Brazil
Nima Asgari‐Jirhandeh United Kingdom
Madelon Kroneman Netherlands
Y. Tony Yang United States
Sharif Ismail United Kingdom
Melisa Mei Jin Tan Singapore
Jorien Veldwijk Netherlands
Huan Zhou China
Claudia Marotta Italy
Thomas Czypionka relative to Shahul H. Ebrahim United States Shahul H. Ebrahim's profile →
Citations per field
00.5×2.6×
Shahul H. Ebrahim · 1×
Citations per year

Countries citing papers authored by Thomas Czypionka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Czypionka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20243
5 20242
6 20240
7 202319
8 202237
9 20213
10 202136
11 202140
12 201951
13 201912
14 201924
15 201850
16 201826
17
The SELFIE Framework for Integrated Care for Multi-Morbidity
20172
18 2017107
19
A gap analysis for future supply of and demand for psychiatrists in Austria.
20142
20
A Typology of Long-term Care Systems in Europe.
201036

About Thomas Czypionka

Thomas Czypionka is a scholar working on General Health Professions, Modeling and Simulation and Economics and Econometrics, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Health and Medical Studies (17 papers), Chronic Disease Management Strategies (16 papers), Global Health Care Issues (12 papers), Social and Demographic Issues in Germany (10 papers), Healthcare Policy and Management (9 papers), COVID-19 epidemiological studies (8 papers) and Interprofessional Education and Collaboration (8 papers). The work is most often cited by research in Modeling and Simulation (246 citations), General Health Professions (560 citations) and Economics and Econometrics (417 citations). Thomas Czypionka has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Dirk Bassler, Trisha Greenhalgh, Laurence Gruer, Manuel Schmid, Markus Kraus, Maureen Rutten‐van Mölken, Miriam Reiss, Verena Struckmann, Fenna Leijten and Melinde Boland. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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2026