Erhardt Barth
Impact in
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology
-
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Vision and Imaging 34
- Visual Attention and Saliency Detection 30
- Advanced Image and Video Retrieval Techniques 14
-
- Gaze Tracking and Assistive Technology 35
- Co-authors
- Thomas Martinetz (71 shared papers)Michael Dörr (42 shared papers)Christoph Zetzsche (14 shared papers)Fabian Timm (6 shared papers)Andreas Kolb (4 shared papers)Reinhard Koch (3 shared papers)Karl R. Gegenfurtner (8 shared papers)Hammam Alshazly (6 shared papers)
- Journals
- Neurocomputing (5 papers)Journal of Vision (3 papers)Vision Research (3 papers)Computer Vision and Image Understanding (2 papers)IEEE Access (2 papers)
- Partner nations
- GermanyUnited StatesEgypt
In The Last Decade
Erhardt Barth
153 papers receiving 3.8k citations
Erhardt Barth's Hit Papers
Peers
Comparison fields: 5 of 176
- Human-Computer Interaction 812
- Computer Vision and Pattern Recognition 1.9k
- Instrumentation 176
- Cognitive Neuroscience 841
- Health Informatics 41
Countries citing papers authored by Erhardt Barth
This map shows the geographic impact of Erhardt Barth'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 Erhardt Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erhardt Barth more than expected).
Fields of papers citing papers by Erhardt Barth
This network shows the impact of papers produced by Erhardt Barth. 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 Erhardt Barth. The network helps show where Erhardt Barth may publish in the future.
Co-authors
The 25 scholars most cited alongside Erhardt Barth, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 362 | |
| 2 | 2010 | 349 | |
| 3 | 2010 | 232 | |
| 4 | 2011 | 213 | |
| 5 | 2000 | 183 | |
| 6 | Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning Hit paper breakdown → | 2021 | 165 |
| 7 | 1990 | 165 | |
| 8 | 2017 | 148 | |
| 9 | 2009 | 133 | |
| 10 | 2015 | 80 | |
| 11 | 2008 | 71 | |
| 12 | 2019 | 68 | |
| 13 | 2001 | 66 | |
| 14 | The importance of intrinsically two-dimensional image features in biological vision and picture coding | 1993 | 64 |
| 15 | 2020 | 51 | |
| 16 | 2011 | 48 | |
| 17 | 2009 | 45 | |
| 18 | 2021 | 44 | |
| 19 | 2008 | 44 | |
| 20 | 2019 | 43 |
About Erhardt Barth
Erhardt Barth is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Media Technology and Signal Processing, having authored 161 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (35 papers), Advanced Vision and Imaging (34 papers), Visual perception and processing mechanisms (32 papers), Visual Attention and Saliency Detection (30 papers), Blind Source Separation Techniques (14 papers), Image Processing Techniques and Applications (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Computer Graphics and Visualization Techniques (13 papers). The work is most often cited by research in Human-Computer Interaction (812 citations), Computer Vision and Pattern Recognition (1.9k citations), Instrumentation (176 citations), Cognitive Neuroscience (841 citations) and Health Informatics (41 citations). Erhardt Barth has collaborated with scholars based in Germany, United States and Egypt. Frequent co-authors include Thomas Martinetz, Michael Dörr, Christoph Zetzsche, Fabian Timm, Andreas Kolb, Reinhard Koch, Karl R. Gegenfurtner, Hammam Alshazly, Christoph Linse and Rasmus Larsen. Their work appears in journals such as Neurocomputing, Journal of Vision, Vision Research, Computer Vision and Image Understanding and IEEE Access.
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.