Tassilo Klein

1.7k citations
27 papers · 625 · h-index 11

Impact in

Papers in

Tassilo Klein

27 papers receiving 614 citations

Peers

Tassilo Klein
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 232
  • Neurology 72
  • Health Informatics 11
  • Radiology, Nuclear Medicine and Imaging 173
  • Artificial Intelligence 143
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Citations per field
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Citations per year

Countries citing papers authored by Tassilo Klein

Since Specialization
Citations

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

Fields of papers citing papers by Tassilo Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017234
2 2012105
3 202052
4 201745
5 201925
6 202024
7 201223
8 200717
9 201916
10 201115
11 201213
12
Finding relevant biomolecular features.
199310
13 20118
14 20116
15 20235
16 20195
17 20114
18
Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST
20093
19 20193
20
Statistical Image Processing of Medical Ultrasound Radio Frequency Data
20123

About Tassilo Klein

Tassilo Klein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Neurology, having authored 27 papers that have together received 625 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers), Multimodal Machine Learning Applications (4 papers), Ultrasound Imaging and Elastography (3 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Neurology (72 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (173 citations) and Artificial Intelligence (143 citations). Tassilo Klein has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Christian Wachinger, Martin Reuter, Nassir Navab, Athanasios Karamalis, Wolfgang Wein, Moin Nabi, Mahdyar Ravanbakhsh, Seyed‐Ahmad Ahmadi, Annika Plate and Kayhan Batmanghelich. Their work appears in journals such as Medical Image Analysis, Plant Pathology, NeuroImage Clinical, Ultrasonics and NeuroImage.

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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