Thomas Koller
Impact in
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- Medical Image Segmentation Techniques
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Natural Language Processing Techniques 4
- Text Readability and Simplification 3
- Co-authors
- Guido GerigRon KikinisHideki AtsumiNobuyuki ShiragaYoshinobu SatoShin NakajimaShigeyuki YoshidaGábor J. Székely
- Journals
- Journal of the European Academy of Dermatology and Venereology (2 papers)Machine Translation (1 paper)Language Resources and Evaluation (1 paper)Medical Image Analysis (1 paper)Healthcare Informatics Research (1 paper)
- Partner nations
- SwitzerlandIrelandUnited States
In The Last Decade
Thomas Koller
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 528
- Biophysics 112
- Radiology, Nuclear Medicine and Imaging 447
- Computer Graphics and Computer-Aided Design 43
- Media Technology 56
Countries citing papers authored by Thomas Koller
This map shows the geographic impact of Thomas Koller'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 Koller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Koller more than expected).
Fields of papers citing papers by Thomas Koller
This network shows the impact of papers produced by Thomas Koller. 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 Koller. The network helps show where Thomas Koller may publish in the future.
Co-authors
The 18 scholars most cited alongside Thomas Koller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 11 | |
| 7 | 2014 | 5 | |
| 8 | LAT bridge: Bridging tools for annotation and exploration of rich linguistic data | 2010 | 2 |
| 9 | 2006 | 3 | |
| 10 | Development of web-based plurilingual learning software for French, Spanish and Italian | 2006 | 1 |
| 11 | Using NLP Technology in CALL | 2004 | 2 |
| 12 | 2004 | 2 | |
| 13 | Knowledge-based intelligent error feedback in a SpanishICALL system | 2003 | 2 |
| 14 | 2002 | 189 | |
| 15 | Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images Hit paper breakdown → | 1998 | 814 |
| 16 | 1994 | 12 |
About Thomas Koller
Thomas Koller is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence, Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Media Technology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Text Readability and Simplification (3 papers), Medical Image Segmentation Techniques (2 papers), Second Language Acquisition and Learning (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Image Retrieval and Classification Techniques (2 papers), Image and Signal Denoising Methods (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (528 citations), Biophysics (112 citations), Radiology, Nuclear Medicine and Imaging (447 citations), Computer Graphics and Computer-Aided Design (43 citations) and Media Technology (56 citations). Thomas Koller has collaborated with scholars based in Switzerland, Ireland and United States. Frequent co-authors include Guido Gerig, Ron Kikinis, Hideki Atsumi, Nobuyuki Shiraga, Yoshinobu Sato, Shin Nakajima, Shigeyuki Yoshida, Gábor J. Székely, Marc Pouly and Alexander A. Navarini. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, Machine Translation, Language Resources and Evaluation, Medical Image Analysis and Healthcare Informatics Research.
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.