Andreas Kämper

17 papers receiving 509 citations

Peers

Andreas Kämper
Comparison fields: 5 of 100
  • Parasitology 67
  • Computational Theory and Mathematics 97
  • Catalysis 34
  • Molecular Biology 213
  • Pharmaceutical Science 14
Replace Donelly A. van Schalkwyk with:
Donelly A. van Schalkwyk United Kingdom
Jean-Paul Ebejer Malta
José Luís Lavandera Spain
Shao‐Wei Huang China
Mohamed Nasr United States
Suping Jiang China
Christoph Fischli Switzerland
Kerstin Henson United States
Sukjun Lee South Korea
Laura A. T. Cleghorn United Kingdom
Andreas Kämper relative to Donelly A. van Schalkwyk United Kingdom Donelly A. van Schalkwyk's profile →
Citations per field
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Donelly A. van Schalkwyk · 1×
Citations per year

Countries citing papers authored by Andreas Kämper

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kämper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Kämper, 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 Andreas Kämper Line = papers co-authored together Andreas Kämper links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201589
2 200178
3 201171
4 200760
5 200756
6 200833
7 201422
8 200022
9 200021
10 200621
11 200419
12 200919
13 200611
14 20076
15 20154
16 20153
17 20131

About Andreas Kämper

Andreas Kämper is a scholar working on Computational Theory and Mathematics, Computer Science Applications, Information Systems, Catalysis and Materials Chemistry, having authored 17 papers that have together received 536 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers), Catalytic Processes in Materials Science (2 papers), Machine Learning in Materials Science (2 papers), Catalysis and Oxidation Reactions (2 papers), Click Chemistry and Applications (2 papers), Software Engineering Techniques and Practices (2 papers) and Higher Education and Teaching Methods (1 paper). The work is most often cited by research in Parasitology (67 citations), Computational Theory and Mathematics (97 citations), Catalysis (34 citations), Molecular Biology (213 citations) and Pharmaceutical Science (14 citations). Andreas Kämper has collaborated with scholars based in Germany, France and Taiwan. Frequent co-authors include Oliver Kohlbacher, Matthias Rarey, Thomas Lengauer, Matthias Ziehm, Chun-Wei Tung, Shinn‐Ying Ho, Ralf Bialek, Caspar Franzen, Bernd Salzberger and Gerd Fätkenheuer. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Clinical Microbiology, Chemistry - A European Journal, Topics in Catalysis and The Plant Cell.

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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