Stefan Burkhardt

33 total papers · 857 total citations
14 papers, 412 citations indexed

About

Stefan Burkhardt is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefan Burkhardt has authored 14 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefan Burkhardt's work include Algorithms and Data Compression (6 papers), Natural Language Processing Techniques (3 papers) and Advanced MRI Techniques and Applications (2 papers). Stefan Burkhardt is often cited by papers focused on Algorithms and Data Compression (6 papers), Natural Language Processing Techniques (3 papers) and Advanced MRI Techniques and Applications (2 papers). Stefan Burkhardt collaborates with scholars based in Germany, United States and Finland. Stefan Burkhardt's co-authors include Juha Kärkkäinen, Peter Sanders, Éric Rivals, Hans‐Peter Lenhof, Paolo Ferragina, Martin Vingron, Andreas Crauser, Jens Mayer, Eckart Meese and W. Schempp and has published in prestigious journals such as Journal of Virology, Journal of General Virology and Journal of the ACM.

In The Last Decade

Stefan Burkhardt

13 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stefan Burkhardt 275 232 107 55 46 14 412
German Tischler 79 0.3× 270 1.2× 27 0.3× 47 0.9× 83 1.8× 21 484
Joseph M. Lancaster 163 0.6× 247 1.1× 121 1.1× 20 0.4× 46 1.0× 23 491
Prabhanjan Kambadur 98 0.4× 101 0.4× 125 1.2× 20 0.4× 26 0.6× 19 448
Jack Wadden 143 0.5× 160 0.7× 251 2.3× 19 0.3× 10 0.2× 28 477
Daniel A. Henderson 152 0.6× 101 0.4× 51 0.5× 35 0.6× 10 0.2× 21 429
Vincenzo Bonnici 128 0.5× 224 1.0× 17 0.2× 61 1.1× 12 0.3× 29 422
Zhixun Zhao 60 0.2× 158 0.7× 27 0.3× 59 1.1× 7 0.2× 26 369
Hai-Son Le 194 0.7× 190 0.8× 17 0.2× 7 0.1× 22 0.5× 18 428
Giovanna Rosone 339 1.2× 245 1.1× 36 0.3× 90 1.6× 38 0.8× 31 385
Trevor I. Dix 318 1.2× 312 1.3× 21 0.2× 38 0.7× 23 0.5× 30 464

Countries citing papers authored by Stefan Burkhardt

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Burkhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Burkhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Burkhardt. A scholar is included among the top collaborators of Stefan Burkhardt 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 Stefan Burkhardt. Stefan Burkhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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