Kurt Kramer
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Image Processing Techniques and Applications 5
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- Water Quality Monitoring Technologies 5
- Co-authors
- Andrew Remsen (9 shared papers)Lawrence Hall (12 shared papers)Dmitry B. Goldgof (12 shared papers)Scott A. Samson (4 shared papers)T. L. Hopkins (2 shared papers)Thomas L. Hopkins (1 shared paper)Ting Luo (1 shared paper)Rangachar Kasturi (2 shared papers)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2 papers)Marine Pollution Bulletin (1 paper)Journal of Microscopy (1 paper)Aquacultural Engineering (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United States
In The Last Decade
Kurt Kramer
13 papers receiving 488 citations
Peers
Comparison fields: 5 of 80
- Media Technology 148
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 224
- Biophysics 36
- Water Science and Technology 59
Countries citing papers authored by Kurt Kramer
This map shows the geographic impact of Kurt Kramer'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 Kurt Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt Kramer more than expected).
Fields of papers citing papers by Kurt Kramer
This network shows the impact of papers produced by Kurt Kramer. 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 Kurt Kramer. The network helps show where Kurt Kramer may publish in the future.
Co-authors
The 24 scholars most cited alongside Kurt Kramer, 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 | 2004 | 163 | |
| 2 | 2005 | 133 | |
| 3 | 2004 | 67 | |
| 4 | 2015 | 38 | |
| 5 | 2009 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2004 | 20 | |
| 8 | 2023 | 10 | |
| 9 | 2012 | 8 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 7 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2012 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Kurt Kramer
Kurt Kramer is a scholar working on Media Technology, Water Science and Technology, Biophysics, Artificial Intelligence and Pollution, having authored 16 papers that have together received 502 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (5 papers), Image Processing Techniques and Applications (5 papers), Machine Learning and Data Classification (3 papers), Oil Spill Detection and Mitigation (3 papers), Cell Image Analysis Techniques (3 papers), Face and Expression Recognition (2 papers), Imbalanced Data Classification Techniques (2 papers) and Underwater Acoustics Research (2 papers). The work is most often cited by research in Media Technology (148 citations), Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (224 citations), Biophysics (36 citations) and Water Science and Technology (59 citations). Kurt Kramer has collaborated with scholars based in United States. Frequent co-authors include Andrew Remsen, Lawrence Hall, Dmitry B. Goldgof, Scott A. Samson, T. L. Hopkins, Thomas L. Hopkins, Ting Luo, Rangachar Kasturi, Sergiy Fefilatyev and Kendra L. Daly. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Marine Pollution Bulletin, Journal of Microscopy, Aquacultural Engineering and Journal of Machine Learning 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.