Thomas Polzin

1.0k citations
20 papers · 782 · h-index 11

Impact in

Papers in

Thomas Polzin

20 papers receiving 719 citations

Peers

Thomas Polzin
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 361
  • Signal Processing 247
  • Computer Vision and Pattern Recognition 247
  • Artificial Intelligence 377
  • Pharmacy 29
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Polzin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Polzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002399
2 200079
3
Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration
201778
4 199341
5 200232
6 201529
7
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
201320
8 200219
9 202115
10 201614
11
Towards Spontaneous Speech Translation
199412
12 199810
13 20148
14 20157
15 20156
16 20194
17 20114
18 20022
19
INFERRING DISCOURSE STRUCTURE FROM SPEECH
19982
20 20211

About Thomas Polzin

Thomas Polzin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Social Psychology, having authored 20 papers that have together received 782 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (7 papers), Speech and dialogue systems (7 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (361 citations), Signal Processing (247 citations), Computer Vision and Pattern Recognition (247 citations), Artificial Intelligence (377 citations) and Pharmacy (29 citations). Thomas Polzin has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Alex Waibel, Frank Dellaert, Alexander Waibel, Jan Modersitzki, Stefan Heldmann, Heinz Handels, Jan Rühaak, Mattias P. Heinrich‬, Ivica Rogina and Noah Coccaro. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Academic Pediatrics, Methods of Information in Medicine, Lecture notes in computer science and Repository KITopen (Karlsruhe Institute of Technology).

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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