Frank Klawonn

10.4k total citations · 2 hit papers
273 papers, 5.4k citations indexed

About

Frank Klawonn is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Frank Klawonn has authored 273 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 40 papers in Molecular Biology and 33 papers in Epidemiology. Recurrent topics in Frank Klawonn's work include Fuzzy Logic and Control Systems (37 papers), Neural Networks and Applications (20 papers) and Fuzzy Systems and Optimization (19 papers). Frank Klawonn is often cited by papers focused on Fuzzy Logic and Control Systems (37 papers), Neural Networks and Applications (20 papers) and Fuzzy Systems and Optimization (19 papers). Frank Klawonn collaborates with scholars based in Germany, United States and Austria. Frank Klawonn's co-authors include Rudolf Kruse, Frank Höppner, Detlef Nauck, Thomas A. Runkler, V. J. Rayward‐Smith, Juan Luis Castro, Christian Borgelt, Michael R. Berthold, Siegfried Weiß and Roland Winkler and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Frank Klawonn

249 papers receiving 5.1k citations

Hit Papers

Fuzzy Cluster Analysis: Methods for Classification, Data ... 1997 2026 2006 2016 2000 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Klawonn Germany 36 2.0k 807 620 518 512 273 5.4k
Constantin Aliferis United States 31 2.8k 1.4× 2.0k 2.4× 495 0.8× 546 1.1× 478 0.9× 114 6.3k
Jonathan M. Garibaldi United Kingdom 39 2.4k 1.2× 1.0k 1.3× 411 0.7× 930 1.8× 808 1.6× 274 6.5k
Ioannis Tsamardinos Greece 30 2.8k 1.4× 1.7k 2.1× 519 0.8× 561 1.1× 589 1.2× 135 5.6k
Alexander Statnikov United States 30 1.6k 0.8× 1.8k 2.2× 363 0.6× 287 0.6× 386 0.8× 83 4.6k
Yufeng Liu China 34 997 0.5× 1.0k 1.3× 236 0.4× 262 0.5× 639 1.2× 281 4.6k
Leszek Rutkowski Poland 37 1.7k 0.9× 358 0.4× 441 0.7× 206 0.4× 450 0.9× 321 5.0k
Vasant Honavar United States 39 2.8k 1.4× 3.4k 4.3× 652 1.1× 182 0.4× 785 1.5× 283 8.5k
Yi‐Ping Phoebe Chen Australia 45 1.5k 0.7× 2.1k 2.6× 639 1.0× 155 0.3× 1.0k 2.0× 389 6.9k
Hua Liu China 42 1.8k 0.9× 3.4k 4.3× 447 0.7× 117 0.2× 884 1.7× 308 10.4k
Iñaki Inza Spain 29 2.9k 1.5× 2.8k 3.4× 710 1.1× 211 0.4× 1.1k 2.1× 62 7.4k

Countries citing papers authored by Frank Klawonn

Since Specialization
Citations

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

Fields of papers citing papers by Frank Klawonn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Klawonn

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Klawonn. A scholar is included among the top collaborators of Frank Klawonn 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 Frank Klawonn. Frank Klawonn 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.
Empting, Martin, et al.. (2025). Domain adaptable language modeling of chemical compounds identifies potent pathoblockers for Pseudomonas aeruginosa. Communications Chemistry. 8(1). 114–114.
3.
Mikuteit, Marie, D.K. Schroder, Stephanie Heinemann, et al.. (2024). Cluster analysis of long COVID symptoms for deciphering a syndrome and its long-term consequence. Immunologic Research. 72(4). 605–613. 3 indexed citations
4.
Klawonn, Frank, et al.. (2024). Cluster-Centered Visualization Techniques for Fuzzy Clustering Results to Judge Single Clusters. Applied Sciences. 14(3). 1102–1102. 5 indexed citations
5.
Hoffmann, Georg & Frank Klawonn. (2023). Applied biostatistics in laboratory medicine. Journal of Laboratory Medicine. 47(4). 141–142. 1 indexed citations
6.
Müller, Sandra, et al.. (2023). Sex‐specific differences in pain localization in female patients with endometriosis: A comparison of sexless and female human body outlines. Brain and Behavior. 13(12). e3285–e3285. 1 indexed citations
7.
Klawonn, Frank, et al.. (2023). HiPerMAb: a tool for judging the potential of small sample size biomarker pilot studies. The International Journal of Biostatistics. 20(1). 157–167. 1 indexed citations
8.
Fleischhacker, Michael, Gerit Theil, Jens Kollmeier, et al.. (2023). Cell-Free Methylated PTGER4 and SHOX2 Plasma DNA as a Biomarker for Therapy Monitoring and Prognosis in Advanced Stage NSCLC Patients. Diagnostics. 13(13). 2131–2131. 1 indexed citations
9.
Schröder, Dominik, Stephanie Heinemann, Eva Hummers, et al.. (2023). Social participation during the COVID-19 pandemic in persons with a high risk for a severe course of COVID-19 – results of a longitudinal, multi-center observational study in Germany. Health Psychology and Behavioral Medicine. 11(1). 2249534–2249534. 5 indexed citations
10.
Wang, Hui, Christian Boedeker, Helena Sztajer, et al.. (2021). Dinoroseobacter shibae Outer Membrane Vesicles Are Enriched for the Chromosome Dimer Resolution Site dif. mSystems. 6(1). 6 indexed citations
11.
Berthold, Michael R., Christian Borgelt, Frank Höppner, Frank Klawonn, & Rosaria Silipo. (2020). Guide to Intelligent Data Science. 12 indexed citations
13.
Ambrosch, Andreas, et al.. (2020). Effect of a strict hygiene bundle for the prevention of nosocomial transmission of SARS-CoV-2 in the hospital: a practical approach from the field. Journal of Infection and Public Health. 13(12). 1862–1867. 12 indexed citations
14.
Mücke, Urs, et al.. (2020). Development of a Social Network for People Without a Diagnosis (RarePairs): Evaluation Study. Journal of Medical Internet Research. 22(9). e21849–e21849. 8 indexed citations
15.
Franke, Raimo, Verena Fetz, Theresia E. B. Stradal, et al.. (2019). xCELLanalyzer: A Framework for the Analysis of Cellular Impedance Measurements for Mode of Action Discovery. SLAS DISCOVERY. 24(3). 213–223. 5 indexed citations
16.
Stieber, Christiane, Martin Mücke, Lorenz Grigull, et al.. (2017). Kurze Wege zur Diagnose. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 60(5). 517–522. 7 indexed citations
17.
Grigull, Lorenz, Susanne Petri, Katja Kollewe, et al.. (2016). Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial. BMC Medical Informatics and Decision Making. 16(1). 31–31. 17 indexed citations
18.
Michels, Kai, Frank Klawonn, Rudolf Kruse, & Andreas Nürnberger. (2006). Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers (Studies in Fuzziness and Soft Computing). Springer eBooks. 12 indexed citations
19.
Kruse, Rudolf & Frank Klawonn. (1994). Mass distributions on L -fuzzy sets and families of frames of discernment. John Wiley & Sons, Inc. eBooks. 37(3). 239–250. 2 indexed citations
20.
Kruse, Rudolf, Erhard Schwecke, & Frank Klawonn. (1991). On a tool for reasoning with mass distributions. International Joint Conference on Artificial Intelligence. 1190–1195. 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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