Tassilo Klein

1.1k citations
28 papers · 632 · h-index 12

Impact in

Papers in

Tassilo Klein

28 papers receiving 620 citations

Peers

Tassilo Klein
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 269
  • Neurology 83
  • Radiology, Nuclear Medicine and Imaging 214
  • Health Informatics 12
  • Artificial Intelligence 160
Replace Chenchu Xu with:
Chenchu Xu China
Amod Jog United States
Shaode Yu China
Yufan He United States
Fangxu Xing United States
Nishant Ravikumar United Kingdom
Dominik Müller Germany
Bart Goossens Belgium
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Citations per field
00.5×6.7×
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 2012103
3 202052
4 201744
5 202024
6 201223
7 201923
8 200717
9 201116
10 201916
11 201213
12 201812
13
Finding relevant biomolecular features.
199310
14 20118
15 20116
16 20235
17 20195
18 20114
19
Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST
20093
20 20193

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 28 papers that have together received 632 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers), Ultrasound Imaging and Elastography (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Image and Signal Denoising Methods (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Neurology (83 citations), Radiology, Nuclear Medicine and Imaging (214 citations), Health Informatics (12 citations) and Artificial Intelligence (160 citations). Tassilo Klein has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christian Wachinger, Martin Reuter, Nassir Navab, Wolfgang Wein, Athanasios Karamalis, Moin Nabi, Mahdyar Ravanbakhsh, Seyed‐Ahmad Ahmadi, Annika Plate and Volker Tresp. Their work appears in journals such as Medical Image Analysis, NeuroImage, Plant Pathology, NeuroImage Clinical and Ultrasonics.

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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