Kurt Kramer
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
-
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
-
- Machine Learning and Data Classification 3
- Machine Learning and Algorithms 2
- Imbalanced Data Classification Techniques 2
-
- Face and Expression Recognition 2
- Co-authors
- Andrew Remsen (8 shared papers)Lawrence Hall (11 shared papers)Dmitry B. Goldgof (10 shared papers)Scott Samson (4 shared papers)T. L. Hopkins (2 shared papers)Thomas L. Hopkins (1 shared paper)Ting Luo (1 shared paper)Sergiy Fefilatyev (2 shared papers)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2 papers)Ecological Informatics (1 paper)Pattern Recognition (1 paper)Journal of Microscopy (1 paper)Aquacultural Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Kurt Kramer
15 papers receiving 486 citations
Peers
Comparison fields: 5 of 80
- Media Technology 150
- Computer Vision and Pattern Recognition 170
- Artificial Intelligence 227
- Biophysics 36
- Water Science and Technology 62
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 25 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 | 159 | |
| 2 | 2005 | 136 | |
| 3 | 2004 | 68 | |
| 4 | 2015 | 38 | |
| 5 | 2009 | 25 | |
| 6 | 2004 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2023 | 9 | |
| 9 | 2011 | 7 | |
| 10 | 2012 | 7 | |
| 11 | 2011 | 7 | |
| 12 | System for Identifying Plankton from the SIPPER Instrument Platform | 2010 | 7 |
| 13 | Identifying Plankton from Grayscale Silhouette Images | 2005 | 4 |
| 14 | 2011 | 3 | |
| 15 | 2011 | 1 | |
| 16 | 2012 | 0 | |
| 17 | 2026 | 0 |
About Kurt Kramer
Kurt Kramer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Water Science and Technology and Oceanography, having authored 17 papers that have together received 510 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (5 papers), Image Processing Techniques and Applications (5 papers), Cell Image Analysis Techniques (3 papers), Machine Learning and Data Classification (3 papers), Oil Spill Detection and Mitigation (2 papers), Face and Expression Recognition (2 papers), Machine Learning and Algorithms (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Media Technology (150 citations), Computer Vision and Pattern Recognition (170 citations), Artificial Intelligence (227 citations), Biophysics (36 citations) and Water Science and Technology (62 citations). Kurt Kramer has collaborated with scholars based in United States. Frequent co-authors include Andrew Remsen, Lawrence Hall, Dmitry B. Goldgof, Scott Samson, T. L. Hopkins, Thomas L. Hopkins, Ting Luo, Sergiy Fefilatyev, Rangachar Kasturi and Matthew Shreve. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Ecological Informatics, Pattern Recognition, Journal of Microscopy and Aquacultural Engineering.
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.