Florian Kohlmayer

902 total citations
27 papers, 377 citations indexed

About

Florian Kohlmayer is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, Florian Kohlmayer has authored 27 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Sociology and Political Science. Recurrent topics in Florian Kohlmayer's work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (6 papers) and Privacy, Security, and Data Protection (5 papers). Florian Kohlmayer is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (6 papers) and Privacy, Security, and Data Protection (5 papers). Florian Kohlmayer collaborates with scholars based in Germany, United Kingdom and Finland. Florian Kohlmayer's co-authors include Fabian Praßer, Klaus A. Kuhn, Claudia Eckert, Alfons Kemper, Jörg Janne Vehreschild, Raffael Bild, Mingyan Li, Michael Quante, Wolfgang Kuchinke and Christian Ohmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and Scientific Data.

In The Last Decade

Florian Kohlmayer

27 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Kohlmayer Germany 12 273 161 63 59 49 27 377
Luca Bonomi United States 10 300 1.1× 73 0.5× 46 0.7× 93 1.6× 74 1.5× 29 490
Raffael Bild Germany 7 145 0.5× 71 0.4× 29 0.5× 71 1.2× 39 0.8× 18 246
Jean Louis Raisaro Switzerland 13 467 1.7× 59 0.4× 35 0.6× 181 3.1× 124 2.5× 41 680
Güneş Koru United States 11 83 0.3× 55 0.3× 30 0.5× 53 0.9× 72 1.5× 35 285
James Gardner United States 8 151 0.6× 42 0.3× 48 0.8× 42 0.7× 43 0.9× 23 383
Tyson Roffey Canada 6 219 0.8× 108 0.7× 45 0.7× 116 2.0× 21 0.4× 7 336
Zhanglong Ji United States 9 246 0.9× 30 0.2× 23 0.4× 68 1.2× 30 0.6× 12 343
Reyyan Yeniterzi Türkiye 10 295 1.1× 37 0.2× 39 0.6× 17 0.3× 59 1.2× 26 393
Xavier Tannier France 13 1.1k 4.1× 68 0.4× 62 1.0× 37 0.6× 140 2.9× 66 1.4k
Zhiyu Wan United States 11 240 0.9× 61 0.4× 27 0.4× 130 2.2× 34 0.7× 40 450

Countries citing papers authored by Florian Kohlmayer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Kohlmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Kohlmayer

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Kohlmayer. A scholar is included among the top collaborators of Florian Kohlmayer 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 Florian Kohlmayer. Florian Kohlmayer 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.
2.
Metwaly, Amira, Sandra Reitmeier, Theresa Baumeister, et al.. (2022). Analysis of Fecal, Salivary, and Tissue Microbiome in Barrett's Esophagus, Dysplasia, and Esophageal Adenocarcinoma. SHILAP Revista de lepidopterología. 1(5). 755–766. 1 indexed citations
3.
Erber, Johanna, Bernhard Haller, Hrvoje Mijočević, et al.. (2022). Infection Control Measures and Prevalence of SARS-CoV-2 IgG among 4,554 University Hospital Employees, Munich, Germany. Emerging infectious diseases. 28(3). 572–581. 8 indexed citations
4.
Schmidt, Melissa, Donna P. Ankerst, Yiyao Chen, et al.. (2020). Epidemiologic Risk Factors in a Comparison of a Barrett Esophagus Registry (BarrettNET) and a Case–Control Population in Germany. Cancer Prevention Research. 13(4). 377–384. 11 indexed citations
5.
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
6.
7.
Kohlmayer, Florian, et al.. (2019). Pseudonymization for research data collection: is the juice worth the squeeze?. BMC Medical Informatics and Decision Making. 19(1). 178–178. 16 indexed citations
8.
Brandizi, Marco, Raffael Bild, Florian Kohlmayer, et al.. (2017). Orchestrating differential data access for translational research: a pilot implementation. BMC Medical Informatics and Decision Making. 17(1). 30–30. 6 indexed citations
9.
Praßer, Fabian, et al.. (2017). A Scalable and Pragmatic Method for the Safe Sharing of High-Quality Health Data. IEEE Journal of Biomedical and Health Informatics. 22(2). 611–622. 22 indexed citations
10.
Praßer, Fabian, et al.. (2016). Lightning: Utility-Driven Anonymization of High-Dimensional Data. 9(2). 161–185. 21 indexed citations
11.
Praßer, Fabian, Florian Kohlmayer, & Klaus A. Kuhn. (2016). Efficient and effective pruning strategies for health data de-identification. BMC Medical Informatics and Decision Making. 16(1). 49–49. 15 indexed citations
12.
Kohlmayer, Florian, et al.. (2016). The Importance of Context: Risk-based De-identification of Biomedical Data. Methods of Information in Medicine. 55(4). 347–355. 20 indexed citations
13.
Kohlmayer, Florian, Fabian Praßer, & Klaus A. Kuhn. (2015). The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss. Journal of Biomedical Informatics. 58. 37–48. 27 indexed citations
14.
Praßer, Fabian, Florian Kohlmayer, & Klaus A. Kuhn. (2014). A Benchmark of Globally-Optimal Anonymization Methods for Biomedical Data. 38. 66–71. 13 indexed citations
15.
Bild, Raffael, Florian Kohlmayer, Michael Brunner, et al.. (2014). Biomedbridges Security Architecture And Framework. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
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
17.
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
18.
Kohlmayer, Florian, Fabian Praßer, Claudia Eckert, Alfons Kemper, & Klaus A. Kuhn. (2012). Flash: Efficient, Stable and Optimal K-Anonymity. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 708–717. 53 indexed citations
19.
Kohlmayer, Florian, et al.. (2008). High-Assurance Avionics Multi-Domain RFID Processing System. 43–50. 5 indexed citations
20.
Kohlmayer, Florian, et al.. (2007). HIGH-ASSURANCE SDR-BASED AVIONICS RFID SYSTEM. 1 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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