Carsten Gottschlich

22 papers receiving 515 citations

Peers

Carsten Gottschlich
Comparison fields: 5 of 87
  • Signal Processing 343
  • Safety Research 154
  • Computer Vision and Pattern Recognition 268
  • Structural Biology 6
  • Biophysics 20
Replace Fouad Khelifi with:
Fouad Khelifi United Kingdom
Rekha Vig India
Francesco Marra Italy
Umarani Jayaraman India
Somsak Choomchuay Thailand
Sook Yoon South Korea
Peipeng Yu China
Huihui Wu China
M. Li Canada
Behnam Neyshabur United States
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Citations per field
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Citations per year

Countries citing papers authored by Carsten Gottschlich

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Gottschlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Carsten Gottschlich, 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 Carsten Gottschlich Line = papers co-authored together Carsten Gottschlich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011102
2 201474
3 201562
4 201249
5 200941
6 201636
7 201133
8 201432
9 201425
10 201622
11 201615
12 20198
13 20168
14 20197
15 20157
16 20153
17 20153
18
Computation of Optimal Transport Plans and Wasserstein Distances [R package transport version 0.12-2]
20203
19
Statistical Analyses of Fingerprint Growth.
20112
20 20091

About Carsten Gottschlich

Carsten Gottschlich is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Safety Research, Geometry and Topology and Genetics, having authored 24 papers that have together received 535 indexed citations. Recurring topics across this work include Biometric Identification and Security (16 papers), Forensic Fingerprint Detection Methods (5 papers), Forensic and Genetic Research (4 papers), Morphological variations and asymmetry (3 papers), Digital Media Forensic Detection (3 papers), Image and Signal Denoising Methods (3 papers), Advanced Image Processing Techniques (3 papers) and Wood and Agarwood Research (2 papers). The work is most often cited by research in Signal Processing (343 citations), Safety Research (154 citations), Computer Vision and Pattern Recognition (268 citations), Structural Biology (6 citations) and Biophysics (20 citations). Carsten Gottschlich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stephan Huckemann, Carola‐Bibiane Schönlieb, Dominic Schuhmacher, Axel Munk, Emanuela Marasco, Bojan Čukić, Allen Y. Yang, Preda Mihăilescu, Carina Wollnik and Benjamin Eltzner. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, Journal of the Royal Statistical Society Series C (Applied Statistics) and Royal Society Open Science.

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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