Stefan Daniel Krämer

4.4k citations
86 papers · 3.5k · h-index 27

Impact in

Papers in

Stefan Daniel Krämer

82 papers receiving 3.3k citations

Peers

Stefan Daniel Krämer
Comparison fields: 5 of 172
  • Transplantation 324
  • Computational Theory and Mathematics 722
  • Information Systems 667
  • Artificial Intelligence 854
  • Signal Processing 225
Replace Ina Koch with:
Ina Koch Germany
S. Joshua Swamidass United States
Marco Masseroli Italy
Thomas F. Knight United States
Matthias Samwald Austria
Wendell D. Jones United States
Amir Ben‐Dor United States
Xavier Leroy France
Xiaowei Sherry Yan United States
Peter Marbach Canada
Stefan Daniel Krämer relative to Ina Koch Germany Ina Koch's profile →
Citations per field
00.5×5×10×14.5×
Ina Koch · 1×
Citations per year

Countries citing papers authored by Stefan Daniel Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Daniel Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Daniel Krämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefan Daniel Krämer Line = papers co-authored together Stefan Daniel Krämer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010491
2 2011299
3 2001207
4 2003190
5 2004185
6 2001176
7 2001163
8 2009158
9
The levelwise version space algorithm and its application to molecular fragment finding
2001109
10 2000104
11 201089
12 200575
13
Structural regression trees
199668
14 200468
15 202165
16 200354
17 200647
18 201545
19 199940
20 200040

About Stefan Daniel Krämer

Stefan Daniel Krämer is a scholar working on Computational Theory and Mathematics, Transplantation, Molecular Biology, Artificial Intelligence and Information Systems, having authored 86 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (10 papers), Gene expression and cancer classification (10 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Analytical Chemistry and Chromatography (9 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Advanced Biosensing Techniques and Applications (8 papers). The work is most often cited by research in Transplantation (324 citations), Computational Theory and Mathematics (722 citations), Information Systems (667 citations), Artificial Intelligence (854 citations) and Signal Processing (225 citations). Stefan Daniel Krämer has collaborated with scholars based in Germany, Austria and New Zealand. Frequent co-authors include Christoph Helma, Luc De Raedt, Peter A. Flach, Nada Lavrač, Klemens Budde, Wolfgang Arns, Claudia Sommerer, Harald Gschaidmeier, Dmitrij Frishman and Pawel Smialowski. Their work appears in journals such as Bioinformatics, Transplantation, Journal of Cheminformatics, Scientific Reports and Journal of Chemical Information and Modeling.

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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