Christoph Grebner

990 citations
24 papers · 490 indexed · h-index 12
Topics
Computational Drug Discovery Methods (16 papers)Protein Structure and Dynamics (9 papers)Machine Learning in Materials Science (7 papers)
Partner nations
GermanySwedenSpain

In The Last Decade

Christoph Grebner

24 papers receiving 476 citations

Peers

Christoph Grebner
Comparison fields: 5 of 102
  • Computational Theory and Mathematics 226
  • Molecular Biology 221
  • Materials Chemistry 117
  • Genetics 51
  • Computer Vision and Pattern Recognition 39
Replace Wolfgang Heiden with:
Wolfgang Heiden Germany
Sabrina Jaeger-Honz Germany
Anders Hogner Sweden
Laura J. Kingsley United States
Jan Byška Czechia
Pieter H. Bos Netherlands
Jisoo Park United States
Caterina Barillari United Kingdom
Ignasi Buch Spain
Richard Ellson United States
Christoph Grebner relative to Wolfgang Heiden Germany Wolfgang Heiden's profile →
Citations per field
00.5×6.8×
Wolfgang Heiden · 1×
Citations per year

Countries citing papers authored by Christoph Grebner

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Grebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Grebner

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Grebner. A scholar is included among the top collaborators of Christoph Grebner 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 Christoph Grebner. Christoph Grebner 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
#WorkIndexed citations
1 8
2 1
3 13
4 9
5 38
6 6
7 32
8 48
9 18
10 26
11 1
12 23
13 83
14 84
15 7
16 3
17 3
18 10
19 2
20 24

About Christoph Grebner

Christoph Grebner is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 24 papers that have together received 490 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (9 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Computational Theory and Mathematics (226 citations), Human-Computer Interaction (39 citations) and Molecular Biology (221 citations). Christoph Grebner has collaborated with scholars based in Germany, Sweden and Spain. Frequent co-authors include Hans Matter, Gerhard Heßler, Jonas Boström, Joakim Eriksson, Anders Hogner, Bernd Engels, K. A. P. Edman, Matthias Rarey, Alleyn T. Plowright and Anthony Nicholls. Their work appears in journals such as Biophysical Journal, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

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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