Gregory Koch
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
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- Receptor Mechanisms and Signaling 2
- Natural product bioactivities and synthesis 1
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- Enzyme Production and Characterization 2
- Co-authors
- Richard S. Zemel (1 shared paper)Ruslan Salakhutdinov (1 shared paper)Margaret A. Cascieri (2 shared papers)Stephen E. de Laszlo (2 shared papers)William K. Hagmann (2 shared papers)Malcolm MacCoss (2 shared papers)Nathan B. Mantlo (1 shared paper)Bing Li (1 shared paper)
- Journals
- The Journal of Antibiotics (2 papers)Applied Microbiology and Biotechnology (2 papers)Molecular Diversity (1 paper)Journal of Biological Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesSpainThailand
In The Last Decade
Gregory Koch
11 papers receiving 2.0k citations
Gregory Koch's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 888
- Artificial Intelligence 987
- Signal Processing 174
- Media Technology 128
- Human-Computer Interaction 39
Countries citing papers authored by Gregory Koch
This map shows the geographic impact of Gregory Koch'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 Gregory Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Koch more than expected).
Fields of papers citing papers by Gregory Koch
This network shows the impact of papers produced by Gregory Koch. 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 Gregory Koch. The network helps show where Gregory Koch may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Koch, 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 | Siamese Neural Networks for One-shot Image Recognition Hit paper breakdown → | 2015 | 1787 |
| 2 | 1999 | 150 | |
| 3 | 1999 | 71 | |
| 4 | 1992 | 46 | |
| 5 | 1996 | 45 | |
| 6 | 2005 | 33 | |
| 7 | 1995 | 12 | |
| 8 | The use of cytochalasins in studies on the molecular biology of virus--host cell interactions. | 1978 | 5 |
| 9 | 1988 | 3 | |
| 10 | 1998 | 2 | |
| 11 | 1995 | 1 |
About Gregory Koch
Gregory Koch is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Organic Chemistry and Oncology, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (2 papers), Enzyme Production and Characterization (2 papers), Receptor Mechanisms and Signaling (2 papers), Peptidase Inhibition and Analysis (1 paper), Online and Blended Learning (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Diabetes Treatment and Management (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (888 citations), Artificial Intelligence (987 citations), Signal Processing (174 citations), Media Technology (128 citations) and Human-Computer Interaction (39 citations). Gregory Koch has collaborated with scholars based in United States, Spain and Thailand. Frequent co-authors include Richard S. Zemel, Ruslan Salakhutdinov, Margaret A. Cascieri, Stephen E. de Laszlo, William K. Hagmann, Malcolm MacCoss, Nathan B. Mantlo, Bing Li, Dooseop Kim and James V. Pivnichny. Their work appears in journals such as The Journal of Antibiotics, Applied Microbiology and Biotechnology, Molecular Diversity, Journal of Biological Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.