Marc Höglinger
Impact in
- Statistics and Probability top 5%
- Survey Sampling and Estimation Techniques
- Statistical Methods and Bayesian Inference
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Virology and Viral Diseases 2
- Healthcare Systems and Public Health 1
-
- Hate Speech and Cyberbullying Detection 4
- Co-authors
- Ben Jann (3 shared papers)Andreas Diekmann (3 shared papers)André Moser (7 shared papers)Viktor von Wyl (6 shared papers)Milo A. Puhan (3 shared papers)Tala Ballouz (2 shared papers)Dominik Menges (2 shared papers)Miquel Serra‐Burriel (1 shared paper)
- Journals
- PLoS ONE (4 papers)JMIR Public Health and Surveillance (3 papers)Swiss Medical Weekly (2 papers)The European Journal of Health Economics (1 paper)Age and Ageing (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Marc Höglinger
21 papers receiving 320 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 105
- Modeling and Simulation 18
- Information Systems 82
- Health 18
- Sociology and Political Science 107
Countries citing papers authored by Marc Höglinger
This map shows the geographic impact of Marc Höglinger'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 Marc Höglinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Höglinger more than expected).
Fields of papers citing papers by Marc Höglinger
This network shows the impact of papers produced by Marc Höglinger. 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 Marc Höglinger. The network helps show where Marc Höglinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Höglinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2018 | 50 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 39 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 15 | |
| 7 | 2017 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 1 |
About Marc Höglinger
Marc Höglinger is a scholar working on Epidemiology, Artificial Intelligence, Statistics and Probability, Clinical Psychology and Sociology and Political Science, having authored 22 papers that have together received 334 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (4 papers), Survey Sampling and Estimation Techniques (4 papers), COVID-19 Digital Contact Tracing (3 papers), COVID-19 and Mental Health (3 papers), Virology and Viral Diseases (2 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 epidemiological studies (2 papers) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Statistics and Probability (105 citations), Modeling and Simulation (18 citations), Information Systems (82 citations), Health (18 citations) and Sociology and Political Science (107 citations). Marc Höglinger has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ben Jann, Andreas Diekmann, André Moser, Viktor von Wyl, Milo A. Puhan, Tala Ballouz, Dominik Menges, Miquel Serra‐Burriel, Anja Frei and Marco Kaufmann. Their work appears in journals such as PLoS ONE, JMIR Public Health and Surveillance, Swiss Medical Weekly, The European Journal of Health Economics and Age and Ageing.
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.