Karin Geffert

733 citations
27 papers · 285 · h-index 8

Impact in

Papers in

Karin Geffert

23 papers receiving 275 citations

Peers

Karin Geffert
Comparison fields: 5 of 79
  • Modeling and Simulation 75
  • General Health Professions 96
  • Clinical Psychology 71
  • Emergency Medical Services 21
  • Infectious Diseases 50
Replace Arash Nemat with:
Arash Nemat Afghanistan
Tiny Masupe Botswana
Zheng Jie Marc Ho Singapore
Osaretin Christabel Okonji South Africa
Celeste Philip United States
Júlia Almeida Calazans Brazil
Katia Slama France
Kingsley E. Amegah Ghana
Sok Teng Tan Singapore
Dejene Hailu Ethiopia
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Citations per field
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Citations per year

Countries citing papers authored by Karin Geffert

Since Specialization
Citations

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

Fields of papers citing papers by Karin Geffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 202067
3 202140
4 202113
5 202012
6 202110
7 20188
8 20237
9 20207
10 20217
11 20187
12 20206
13 20196
14 20165
15 20184
16 20184
17 20253
18 20203
19 20241
20 20241

About Karin Geffert

Karin Geffert is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation and Organizational Behavior and Human Resource Management, having authored 27 papers that have together received 285 indexed citations. Recurring topics across this work include Health and Medical Studies (7 papers), Health Promotion and Cardiovascular Prevention (4 papers), Public Health Policies and Education (4 papers), Nutritional Studies and Diet (3 papers), Health, psychology, and well-being (3 papers), Global Public Health Policies and Epidemiology (3 papers), COVID-19 epidemiological studies (3 papers) and Consumer Attitudes and Food Labeling (3 papers). The work is most often cited by research in Modeling and Simulation (75 citations), General Health Professions (96 citations), Clinical Psychology (71 citations), Emergency Medical Services (21 citations) and Infectious Diseases (50 citations). Karin Geffert has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Jan M Stratil, Jacob Burns, Peter von Philipsborn, Ani Movsisyan, Kerstin Sell, Eva Rehfuess, Lisa M. Pfadenhauer, Stephan Voß, Michaela Coenen and Brigitte Strahwald. Their work appears in journals such as BMJ Open, Cochrane Database of Systematic Reviews, European Journal of Public Health, Global Health Science and Practice and Obesity Facts.

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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