Andrew Cotter
Impact in
- Artificial Intelligence top 1%
- Stochastic Gradient Optimization Techniques
- Machine Learning and ELM
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
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- Machine Learning and Algorithms 5
- Machine Learning and Data Classification 5
- Stochastic Gradient Optimization Techniques 4
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- Marine and fisheries research 11
- Marine Bivalve and Aquaculture Studies 8
- Co-authors
- Nathan Srebro (4 shared papers)Shai Shalev‐Shwartz (3 shared papers)Yoram Singer (1 shared paper)Nati Srebro (2 shared papers)Graham M. Pilling (1 shared paper)Maya R. Gupta (10 shared papers)Ohad Shamir (1 shared paper)Karthik Sridharan (1 shared paper)
- Journals
- Fisheries Research (4 papers)ICES Journal of Marine Science (3 papers)Fish and Fisheries (2 papers)Marine Biology (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Andrew Cotter
37 papers receiving 1.6k citations
Andrew Cotter's Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 894
- Computer Vision and Pattern Recognition 512
- Global and Planetary Change 336
- Nature and Landscape Conservation 183
- Computational Mechanics 235
Countries citing papers authored by Andrew Cotter
This map shows the geographic impact of Andrew Cotter'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 Andrew Cotter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Cotter more than expected).
Fields of papers citing papers by Andrew Cotter
This network shows the impact of papers produced by Andrew Cotter. 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 Andrew Cotter. The network helps show where Andrew Cotter may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Cotter, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pegasos: primal estimated sub-gradient solver for SVM Hit paper breakdown → | 2010 | 931 |
| 2 | 1999 | 131 | |
| 3 | 2011 | 98 | |
| 4 | 2004 | 76 | |
| 5 | 2012 | 71 | |
| 6 | 2007 | 58 | |
| 7 | 2020 | 47 | |
| 8 | 2016 | 37 | |
| 9 | 2011 | 28 | |
| 10 | Learning Optimally Sparse Support Vector Machines | 2013 | 24 |
| 11 | 2002 | 22 | |
| 12 | 2010 | 17 | |
| 13 | 2007 | 16 | |
| 14 | 1997 | 15 | |
| 15 | 1982 | 15 | |
| 16 | 2001 | 13 | |
| 17 | 1997 | 12 | |
| 18 | 1978 | 12 | |
| 19 | Fast and Flexible Monotonic Functions with Ensembles of Lattices | 2016 | 10 |
| 20 | Diminishing Returns Shape Constraints for Interpretability and Regularization | 2018 | 10 |
About Andrew Cotter
Andrew Cotter is a scholar working on Artificial Intelligence, Global and Planetary Change, Computer Vision and Pattern Recognition, Nature and Landscape Conservation and Computational Mechanics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Marine and fisheries research (11 papers), Marine Bivalve and Aquaculture Studies (8 papers), Fish Ecology and Management Studies (7 papers), Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (5 papers), Stochastic Gradient Optimization Techniques (4 papers), Face and Expression Recognition (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (894 citations), Computer Vision and Pattern Recognition (512 citations), Global and Planetary Change (336 citations), Nature and Landscape Conservation (183 citations) and Computational Mechanics (235 citations). Andrew Cotter has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Nathan Srebro, Shai Shalev‐Shwartz, Yoram Singer, Nati Srebro, Graham M. Pilling, Maya R. Gupta, Ohad Shamir, Karthik Sridharan, S. T. Buckland and Karen Livescu. Their work appears in journals such as Fisheries Research, ICES Journal of Marine Science, Fish and Fisheries, Marine Biology and Mathematical Biosciences.
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.