Marc Ebner
Impact in
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- Image Enhancement Techniques
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- Color Science and Applications
Papers in
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- Image Enhancement Techniques 22
- Advanced Vision and Imaging 10
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- Evolutionary Algorithms and Applications 25
- Metaheuristic Optimization Algorithms Research 12
- Reinforcement Learning in Robotics 8
- Co-authors
- Mark Shackleton (4 shared papers)Rob Shipman (3 shared papers)Andreas Zell (3 shared papers)Oguzhan Ulucan (17 shared papers)John R. Levine (2 shared papers)Simon Mark Lucas (2 shared papers)Tom Schaul (2 shared papers)Tommy Thompson (2 shared papers)
- Journals
- Lecture notes in computer science (29 papers)Pattern Recognition Letters (1 paper)The Visual Computer (1 paper)Genetic Programming and Evolvable Machines (1 paper)Biological Cybernetics (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Marc Ebner
93 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 629
- Atomic and Molecular Physics, and Optics 534
- Media Technology 144
- Artificial Intelligence 534
- Cognitive Neuroscience 287
Countries citing papers authored by Marc Ebner
This map shows the geographic impact of Marc Ebner'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 Marc Ebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Ebner more than expected).
Fields of papers citing papers by Marc Ebner
This network shows the impact of papers produced by Marc Ebner. 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 Marc Ebner. The network helps show where Marc Ebner may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Ebner, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Color constancy | 2007 | 387 |
| 2 | 2001 | 80 | |
| 3 | 2008 | 76 | |
| 4 | 2013 | 68 | |
| 5 | 2006 | 64 | |
| 6 | 2011 | 62 | |
| 7 | 2013 | 60 | |
| 8 | 2002 | 57 | |
| 9 | 2002 | 50 | |
| 10 | 2003 | 48 | |
| 11 | 2004 | 43 | |
| 12 | 1999 | 39 | |
| 13 | 2006 | 25 | |
| 14 | 2003 | 24 | |
| 15 | 2000 | 23 | |
| 16 | 2014 | 23 | |
| 17 | 2009 | 22 | |
| 18 | 2005 | 20 | |
| 19 | 2006 | 15 | |
| 20 | 2013 | 15 |
About Marc Ebner
Marc Ebner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Social Psychology and Cognitive Neuroscience, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Color Science and Applications (29 papers), Evolutionary Algorithms and Applications (25 papers), Image Enhancement Techniques (22 papers), Color perception and design (17 papers), Visual perception and processing mechanisms (13 papers), Metaheuristic Optimization Algorithms Research (12 papers), Advanced Vision and Imaging (10 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (629 citations), Atomic and Molecular Physics, and Optics (534 citations), Media Technology (144 citations), Artificial Intelligence (534 citations) and Cognitive Neuroscience (287 citations). Marc Ebner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Mark Shackleton, Rob Shipman, Andreas Zell, Oguzhan Ulucan, John R. Levine, Simon Mark Lucas, Tom Schaul, Tommy Thompson, Julian Togelius and Jürgen Albert. Their work appears in journals such as Lecture notes in computer science, Pattern Recognition Letters, The Visual Computer, Genetic Programming and Evolvable Machines and Biological Cybernetics.
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.