Christoph Feinauer

613 citations
13 papers · 336 indexed · h-index 8
Topics
Protein Structure and Dynamics (5 papers)RNA and protein synthesis mechanisms (4 papers)Machine Learning in Bioinformatics (2 papers)
Partner nations
ItalyFranceUnited States

In The Last Decade

Christoph Feinauer

13 papers receiving 334 citations

Peers

Christoph Feinauer
Comparison fields: 5 of 63
  • Molecular Biology 261
  • Genetics 79
  • Materials Chemistry 31
  • Artificial Intelligence 29
  • Computational Theory and Mathematics 17
Replace Haicang Zhang with:
Haicang Zhang China
Cecilia Lövkvist Denmark
Matteo Figliuzzi Italy
Magnus Ekeberg Sweden
Ivo Siekmann United Kingdom
Indra Schroeder Germany
Nathan Linial Israel
Pierre Barrat-Charlaix Switzerland
Kang Yang China
Matteo Togninalli Switzerland
Christoph Feinauer relative to Haicang Zhang China Haicang Zhang's profile →
Citations per field
00.5×12.3×
Haicang Zhang · 1×
Citations per year

Countries citing papers authored by Christoph Feinauer

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Feinauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Feinauer

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 20
2 3
3 5
4 2
5 15
6 1
7 20
8 63
9 34
10 67
11 95
12 1
13 10

About Christoph Feinauer

Christoph Feinauer is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence, having authored 13 papers that have together received 336 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (261 citations), Acoustics and Ultrasonics (3 citations) and Genetics (79 citations). Christoph Feinauer has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Andrea Pagnani, Martin Weigt, Marcin J. Skwark, Riccardo Zecchina, Erik Aurell, Carlo Baldassi, Marco Zamparo, Andrea Procaccini, Hendrik Szurmant and Dominique Schneider. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

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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