Fabian Praßer

2.2k total citations · 1 hit paper
80 papers, 999 citations indexed

About

Fabian Praßer is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Information Systems and Management. According to data from OpenAlex, Fabian Praßer has authored 80 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 22 papers in Public Health, Environmental and Occupational Health and 16 papers in Information Systems and Management. Recurrent topics in Fabian Praßer's work include Privacy-Preserving Technologies in Data (41 papers), Ethics in Clinical Research (22 papers) and Scientific Computing and Data Management (15 papers). Fabian Praßer is often cited by papers focused on Privacy-Preserving Technologies in Data (41 papers), Ethics in Clinical Research (22 papers) and Scientific Computing and Data Management (15 papers). Fabian Praßer collaborates with scholars based in Germany, United States and Switzerland. Fabian Praßer's co-authors include Klaus A. Kuhn, Florian Kohlmayer, Raffael Bild, Josef Schepers, Moritz Lehne, Sylvia Thun, Claudia Eckert, Alfons Kemper, Ulrich Mansmann and Oliver Kohlbacher and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fabian Praßer

73 papers receiving 970 citations

Hit Papers

A scoping review of privacy and utility metrics in medica... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabian Praßer Germany 17 547 237 164 127 116 80 999
Fida K. Dankar Canada 16 688 1.3× 269 1.1× 281 1.7× 120 0.9× 128 1.1× 31 1.0k
Wojtek Michalowski Canada 21 469 0.9× 65 0.3× 133 0.8× 102 0.8× 303 2.6× 114 1.4k
Tony Sahama Australia 14 161 0.3× 145 0.6× 78 0.5× 177 1.4× 110 0.9× 113 940
Martin Sedlmayr Germany 16 182 0.3× 40 0.2× 124 0.8× 101 0.8× 56 0.5× 111 984
Jake Luo United States 19 442 0.8× 39 0.2× 175 1.1× 61 0.5× 47 0.4× 80 1.2k
Karim Abouelmehdi Morocco 9 285 0.5× 86 0.4× 50 0.3× 263 2.1× 52 0.4× 19 724
Jean Louis Raisaro Switzerland 13 467 0.9× 59 0.2× 181 1.1× 124 1.0× 35 0.3× 41 680
Hayat Khaloufi Morocco 5 244 0.4× 86 0.4× 50 0.3× 214 1.7× 52 0.4× 7 620
Seok Kim South Korea 17 159 0.3× 50 0.2× 95 0.6× 74 0.6× 78 0.7× 66 1.1k

Countries citing papers authored by Fabian Praßer

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Praßer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Praßer

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Praßer. A scholar is included among the top collaborators of Fabian Praßer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabian Praßer. Fabian Praßer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zenker, Sven, Daniel Strech, Roland Jahns, et al.. (2024). National standardisierter Broad Consent in der Praxis: erste Erfahrungen, aktuelle Entwicklungen und kritische Betrachtungen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 67(6). 637–647. 5 indexed citations
2.
Praßer, Fabian, et al.. (2024). Synthetic datasets for open software development in rare disease research. Orphanet Journal of Rare Diseases. 19(1). 265–265. 5 indexed citations
3.
Hufnagl, Peter, et al.. (2024). Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study. JMIR Medical Informatics. 12. e53075–e53075. 1 indexed citations
4.
Krämer, Michael, et al.. (2024). A scalable approach for critical care data extraction and analysis in an academic medical center. International Journal of Medical Informatics. 192. 105611–105611. 3 indexed citations
5.
Sedlmayr, Martin, Gabriele Müller, Helge Hebestreit, et al.. (2024). Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned. Digital Health. 10. 599908931–599908931. 1 indexed citations
6.
Holub, Petr, Heimo Müller, Luca Pireddu, et al.. (2023). Privacy risks of whole-slide image sharing in digital pathology. Nature Communications. 14(1). 2577–2577. 14 indexed citations
7.
Scholz, C., Constantin Yves Plessen, Gregor Liegl, et al.. (2023). The effect of self‐management techniques on relevant outcomes in chronic low back pain: A systematic review and meta‐analysis. European Journal of Pain. 28(4). 532–550. 7 indexed citations
8.
Mansmann, Ulrich, Clara Locher, Fabian Praßer, et al.. (2023). Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature Medicine. 29(2). 298–301. 14 indexed citations
9.
Krefting, Dagmar, Michael Arzt, Joachim T. Maurer, et al.. (2023). Sleep apnea healthcare management in dynamically changing times. Somnologie - Schlafforschung und Schlafmedizin. 27(4). 248–254. 1 indexed citations
10.
Pilgram, Lisa, et al.. (2023). Utility-Preserving Anonymization in a Real-World Scenario: Evidence from the German Chronic Kidney Disease (GCKD) Study. Studies in health technology and informatics. 302. 28–32. 1 indexed citations
11.
Pilgram, Lisa, Lukas Eberwein, Kai Wille, et al.. (2021). Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease. Infection. 49(4). 725–737. 12 indexed citations
12.
Lehne, Moritz, Phillipp Schoppmann, Fabian Praßer, et al.. (2020). A Secure Multi-Party Computation Protocol for Time-To-Event Analyses. Studies in health technology and informatics. 270. 8–12. 4 indexed citations
13.
Bild, Raffael, et al.. (2020). Efficient Protection of Health Data from Sensitive Attribute Disclosure. Studies in health technology and informatics. 270. 193–197.
14.
Kohlmayer, Florian, et al.. (2020). Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19. Scientific Data. 7(1). 435–435. 25 indexed citations
15.
Praßer, Fabian, et al.. (2019). Protecting Biomedical Data Against Attribute Disclosure. Studies in health technology and informatics. 267. 207–214. 3 indexed citations
16.
Ganslandt, Thomas, Jannik Schaaf, Josef Schepers, et al.. (2019). Experiences from the National Demonstrator Study within the German Medical Informatics Initiative.. AMIA.
17.
Praßer, Fabian, et al.. (2019). Privacy-enhancing ETL-processes for biomedical data. International Journal of Medical Informatics. 126. 72–81. 24 indexed citations
18.
Kohlmayer, Florian, Fabian Praßer, Claudia Eckert, & Klaus A. Kuhn. (2013). A flexible approach to distributed data anonymization. Journal of Biomedical Informatics. 50. 62–76. 34 indexed citations
19.
Praßer, Fabian, et al.. (2012). S3ULMU – Prototyp-Infrastruktur für die IT-Unterstützung klinischer Studien am Klinikum der Universität München. GI-Jahrestagung. 1260–1274. 1 indexed citations
20.
Praßer, Fabian, Florian Kohlmayer, Alfons Kemper, & Klaus A. Kuhn. (2012). A Generic Transformation of HL7 Messages into the Resource Description Framework Data Model.. GI-Jahrestagung. 1559–1564. 2 indexed citations

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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