Thomas Martinetz
Impact in
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- Face and Expression Recognition
- Visual Attention and Saliency Detection
- Cognitive Neuroscience top 1%
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Visual Attention and Saliency Detection 12
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- Neural Networks and Applications 19
- Co-authors
- Klaus Schulten (8 shared papers)Erhardt Barth (50 shared papers)Klaus Schulten (3 shared papers)Matthias Mölle (5 shared papers)Jan Born (4 shared papers)Hong‐Viet V. Ngo (4 shared papers)Helge Ritter (6 shared papers)Michael Dörr (13 shared papers)
- Journals
- Neurocomputing (7 papers)PLoS ONE (3 papers)Journal of Theoretical Biology (3 papers)IEEE Access (2 papers)Neural Networks (2 papers)
- Partner nations
- GermanyUnited StatesEgypt
In The Last Decade
Thomas Martinetz
125 papers receiving 5.2k citations
Thomas Martinetz's Hit Papers
Peers
Comparison fields: 5 of 194
- Computer Vision and Pattern Recognition 1.7k
- Cognitive Neuroscience 1.4k
- Human-Computer Interaction 345
- Artificial Intelligence 1.9k
- Signal Processing 498
Countries citing papers authored by Thomas Martinetz
This map shows the geographic impact of Thomas Martinetz'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 Martinetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Martinetz more than expected).
Fields of papers citing papers by Thomas Martinetz
This network shows the impact of papers produced by Thomas Martinetz. 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 Martinetz. The network helps show where Thomas Martinetz may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Martinetz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 'Neural-gas' network for vector quantization and its application to time-series prediction Hit paper breakdown → | 1993 | 900 |
| 2 | Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory Hit paper breakdown → | 2013 | 594 |
| 3 | Topology representing networks Hit paper breakdown → | 1994 | 555 |
| 4 | 2010 | 318 | |
| 5 | Neural computation and self-organizing maps : an introduction | 1992 | 288 |
| 6 | 2010 | 209 | |
| 7 | 1997 | 190 | |
| 8 | 1990 | 179 | |
| 9 | 1989 | 173 | |
| 10 | Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning Hit paper breakdown → | 2021 | 157 |
| 11 | 2015 | 155 | |
| 12 | 2015 | 112 | |
| 13 | 2015 | 72 | |
| 14 | 2010 | 67 | |
| 15 | 2019 | 65 | |
| 16 | 2008 | 60 | |
| 17 | 2016 | 52 | |
| 18 | 2012 | 51 | |
| 19 | 2020 | 50 | |
| 20 | 2004 | 44 |
About Thomas Martinetz
Thomas Martinetz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Human-Computer Interaction and Molecular Biology, having authored 131 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Gaze Tracking and Assistive Technology (17 papers), Visual Attention and Saliency Detection (12 papers), Sleep and Wakefulness Research (11 papers), Blind Source Separation Techniques (11 papers), Neural dynamics and brain function (11 papers), Machine Learning in Bioinformatics (9 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Cognitive Neuroscience (1.4k citations), Human-Computer Interaction (345 citations), Artificial Intelligence (1.9k citations) and Signal Processing (498 citations). Thomas Martinetz has collaborated with scholars based in Germany, United States and Egypt. Frequent co-authors include Klaus Schulten, Erhardt Barth, Klaus Schulten, Matthias Mölle, Jan Born, Hong‐Viet V. Ngo, Helge Ritter, Michael Dörr, Hammam Alshazly and Christoph Linse. Their work appears in journals such as Neurocomputing, PLoS ONE, Journal of Theoretical Biology, IEEE Access and Neural Networks.
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.