Maximilian Siebert
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Scientific Computing and Data Management
Papers in
-
- Ethics in Clinical Research 6
-
- Meta-analysis and systematic reviews 5
- Co-authors
- Florian Naudet (11 shared papers)David Moher (6 shared papers)A. Dupuy (2 shared papers)John P. A. Ioannidis (4 shared papers)Christian Ohmann (2 shared papers)A. Gebert (1 shared paper)Ioana A. Cristea (2 shared papers)Katrin Susanne Lips (1 shared paper)
- Journals
- PLoS Medicine (3 papers)Journal of Clinical Epidemiology (2 papers)BMJ Open (2 papers)JAMA (2 papers)Nanomaterials (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Maximilian Siebert
18 papers receiving 238 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 10
- Information Systems and Management 39
- Statistics, Probability and Uncertainty 32
- Information Systems 51
- Surfaces, Coatings and Films 14
Countries citing papers authored by Maximilian Siebert
This map shows the geographic impact of Maximilian Siebert'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 Maximilian Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Siebert more than expected).
Fields of papers citing papers by Maximilian Siebert
This network shows the impact of papers produced by Maximilian Siebert. 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 Maximilian Siebert. The network helps show where Maximilian Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Maximilian Siebert, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 38 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2014 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2025 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Maximilian Siebert
Maximilian Siebert is a scholar working on Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty, Information Systems, Pharmacology and Social Psychology, having authored 21 papers that have together received 247 indexed citations. Recurring topics across this work include Ethics in Clinical Research (6 papers), Meta-analysis and systematic reviews (5 papers), Pharmaceutical industry and healthcare (3 papers), Research Data Management Practices (3 papers), Social Robot Interaction and HRI (2 papers), Scientific Computing and Data Management (2 papers), Innovation, Technology, and Society (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Health Informatics (10 citations), Information Systems and Management (39 citations), Statistics, Probability and Uncertainty (32 citations), Information Systems (51 citations) and Surfaces, Coatings and Films (14 citations). Maximilian Siebert has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Florian Naudet, David Moher, A. Dupuy, John P. A. Ioannidis, Christian Ohmann, A. Gebert, Ioana A. Cristea, Katrin Susanne Lips, Edith Motschall and Martin Müller. Their work appears in journals such as PLoS Medicine, Journal of Clinical Epidemiology, BMJ Open, JAMA and Nanomaterials.
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.