Thorsten Twellmann

666 citations
21 papers · 476 · h-index 10

Impact in

Papers in

Thorsten Twellmann

18 papers receiving 461 citations

Peers

Thorsten Twellmann
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 296
  • Pulmonary and Respiratory Medicine 187
  • Artificial Intelligence 144
  • Computer Vision and Pattern Recognition 68
  • Biophysics 17
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Yulia Arzhaeva Australia
Ahmed Shaffie United States
Shiwen Shen United States
G. Ananth Prabhu India
Haozhe Jia China
Shinji Yamamoto Japan
Haichao Cao China
Andrew Cameron Canada
Riqiang Gao United States
Nannan Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Thorsten Twellmann

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Twellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013193
2 200556
3 200540
4 200531
5 200428
6 200726
7 201324
8 201123
9
Discriminative Densities from Maximum Contrast Estimation
200213
10
A hyperbolic topographic mapping for proximity data
200511
11 20047
12 20055
13 20084
14 20094
15
Identification of Cell Viability by an In-situ Dark-fieldMicroscopic Sensor
20053
16
Cell Detection in Micrographs of Tissue Sections Using Support Vector Machines
20013
17
Adaptive distance learning scheme for diffusion tensor imaging using kernel target alignment
20082
18 20051
19 20061
20 20041

About Thorsten Twellmann

Thorsten Twellmann is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Molecular Biology, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Spectroscopy and Chemometric Analyses (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (296 citations), Pulmonary and Respiratory Medicine (187 citations), Artificial Intelligence (144 citations), Computer Vision and Pattern Recognition (68 citations) and Biophysics (17 citations). Thorsten Twellmann has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Tim W. Nattkemper, Axel Saalbach, Bram van Ginneken, Colin Jacobs, Pim A. de Jong, Ernst T. Scholten, Harry J. de Koning, Eva M. van Rikxoort, Matthijs Oudkerk and Jan‐Martin Kuhnigk. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Medical Imaging, Medical Image Analysis, Journal of Biotechnology and Applied Artificial Intelligence.

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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