Thomas Martinetz
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- Visual Attention and Saliency Detection 12
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 11
- Sleep and Wakefulness Research 11
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology 17
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 19
- Signal Processing top 1%
- Blind Source Separation Techniques 11
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- Machine Learning in Bioinformatics 10
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Klaus SchultenErhardt BarthMatthias MölleHelge RitterJan BornHong‐Viet V. NgoMichael DörrHammam Alshazly
- Partner nations
- GermanyUnited StatesEgypt
In The Last Decade
Thomas Martinetz
125 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Computer Vision and Pattern Recognition 1.7k
- Cognitive Neuroscience 1.5k
- Human-Computer Interaction 343
- Artificial Intelligence 1.9k
- Signal Processing 493
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 1 | |
| 8 | 2015 | 10 | |
| 9 | Learning and modeling big data | 2014 | 4 |
| 10 | Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memorybreakdown → | 2013 | 587 |
| 11 | 2012 | 51 | |
| 12 | 2012 | 22 | |
| 13 | 2011 | 20 | |
| 14 | Learning Data Representations with Sparse Coding Neural Gas | 2008 | 8 |
| 15 | 2008 | 60 | |
| 16 | The Intrinsic Recurrent Support Vector Machine | 2007 | 4 |
| 17 | Predicting, analysing, and guiding eye movements | 2005 | 0 |
| 18 | 2005 | 2 | |
| 19 | Saliency Extraction for Gaze-Contingent Displays | 2004 | 1 |
| 20 | 1999 | 2 |
About Thomas Martinetz
Thomas Martinetz is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Health Informatics, 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), Blind Source Separation Techniques (11 papers), Neural dynamics and brain function (11 papers), Sleep and Wakefulness Research (11 papers), Machine Learning in Bioinformatics (10 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 (1.5k citations) and Human-Computer Interaction (343 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, Helge Ritter, Jan Born, Hong‐Viet V. Ngo, Michael Dörr, Hammam Alshazly and Christoph Linse. Their work appears in journals such as Neurocomputing, Journal of Theoretical Biology, PLoS ONE, IEEE Access and Sensors.
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.