Falk Schreiber

140 papers receiving 3.5k citations

Peers

Falk Schreiber
Comparison fields: 5 of 168
  • Human-Computer Interaction 230
  • Computer Vision and Pattern Recognition 683
  • Molecular Biology 2.1k
  • Statistical and Nonlinear Physics 342
  • Computer Graphics and Computer-Aided Design 95
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Alexander Lex United States
Ming Hao United States
Hendrik Strobelt United States
Rosane Minghim Brazil
Christian Stolte United States
Karsten Klein Germany
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Citations per field
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Citations per year

Countries citing papers authored by Falk Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Falk Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006401
2 2011211
3 2009148
4 2006145
5 2018128
6 2010125
7 2012122
8 2013105
9 200991
10 201580
11 201575
12 201067
13 201564
14 201062
15 200661
16 201353
17 201551
18 201845
19 201244
20 201244

About Falk Schreiber

Falk Schreiber is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biophysics, Information Systems and Management and Human-Computer Interaction, having authored 151 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (62 papers), Data Visualization and Analytics (46 papers), Microbial Metabolic Engineering and Bioproduction (40 papers), Gene Regulatory Network Analysis (32 papers), Biomedical Text Mining and Ontologies (16 papers), Cell Image Analysis Techniques (11 papers), Virtual Reality Applications and Impacts (11 papers) and Scientific Computing and Data Management (11 papers). The work is most often cited by research in Human-Computer Interaction (230 citations), Computer Vision and Pattern Recognition (683 citations), Molecular Biology (2.1k citations), Statistical and Nonlinear Physics (342 citations) and Computer Graphics and Computer-Aided Design (95 citations). Falk Schreiber has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Christian Klukas, Björn H. Junker, Tobias Czauderna, Dirk Koschützki, Ali Masoudi‐Nejad, Anja Hartmann, Karsten Klein, Tim Dwyer, Nils Stein and Astrid Junker. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Bioinformatics, BMC Bioinformatics, IEEE Transactions on Visualization and Computer Graphics and Frontiers in Bioengineering and Biotechnology.

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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