Harris Drucker
Impact in
- Artificial Intelligence top 0.2%
- Neural Networks and Applications
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Machine Learning and Algorithms
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 10
- Machine Learning and Algorithms 7
- Machine Learning and Data Classification 7
- Text and Document Classification Technologies 4
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- Face and Expression Recognition 5
- Handwritten Text Recognition Techniques 3
- Co-authors
- Vladimir Vapnik (7 shared papers)Linda Kaufman (1 shared paper)Christopher J. C. Burges (1 shared paper)Alex Smola (1 shared paper)Donghui Wu (1 shared paper)Corinna Cortes (6 shared papers)L. D. Jackel (4 shared papers)Yann LeCun (4 shared papers)
- Journals
- The Journal of the Acoustical Society of America (2 papers)IEEE Transactions on Speech and Audio Processing (1 paper)Computational Statistics & Data Analysis (1 paper)Information Processing & Management (1 paper)IEEE Transactions on Computers (1 paper)
- Partner nations
- United StatesGermanyBurundi
In The Last Decade
Harris Drucker
26 papers receiving 6.1k citations
Harris Drucker's Hit Papers
Peers
Comparison fields: 5 of 199
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 1.5k
- Signal Processing 518
- Information Systems 926
- Management Science and Operations Research 379
Countries citing papers authored by Harris Drucker
This map shows the geographic impact of Harris Drucker'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 Harris Drucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harris Drucker more than expected).
Fields of papers citing papers by Harris Drucker
This network shows the impact of papers produced by Harris Drucker. 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 Harris Drucker. The network helps show where Harris Drucker may publish in the future.
Co-authors
The 24 scholars most cited alongside Harris Drucker, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Support Vector Regression Machines Hit paper breakdown → | 1996 | 3126 |
| 2 | Support vector machines for spam categorization Hit paper breakdown → | 1999 | 996 |
| 3 | Improving Regressors using Boosting Techniques | 1997 | 438 |
| 4 | Comparison of classifier methods: a case study in handwritten digit recognition Hit paper breakdown → | 2002 | 412 |
| 5 | Comparison of learning algorithms for handwritten digit recognition | 1995 | 364 |
| 6 | 1995 | 308 | |
| 7 | 1994 | 219 | |
| 8 | Boosting Decision Trees | 1995 | 150 |
| 9 | 1992 | 138 | |
| 10 | 1993 | 128 | |
| 11 | Improving Performance in Neural Networks Using a Boosting Algorithm | 1992 | 101 |
| 12 | 2002 | 56 | |
| 13 | Relevance Feedback using Support Vector Machines | 2001 | 33 |
| 14 | 1968 | 27 | |
| 15 | 2002 | 18 | |
| 16 | 2008 | 14 | |
| 17 | 2002 | 10 | |
| 18 | 1976 | 7 | |
| 19 | 1990 | 4 | |
| 20 | Fast committee machines for regression and classification | 1997 | 3 |
About Harris Drucker
Harris Drucker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computational Mechanics, having authored 32 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Machine Learning and Algorithms (7 papers), Machine Learning and Data Classification (7 papers), Face and Expression Recognition (5 papers), Speech and Audio Processing (5 papers), Text and Document Classification Technologies (4 papers), Handwritten Text Recognition Techniques (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (518 citations), Information Systems (926 citations) and Management Science and Operations Research (379 citations). Harris Drucker has collaborated with scholars based in United States, Germany and Burundi. Frequent co-authors include Vladimir Vapnik, Linda Kaufman, Christopher J. C. Burges, Alex Smola, Donghui Wu, Corinna Cortes, L. D. Jackel, Yann LeCun, Patrice Simard and Isabelle Guyon. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing, Computational Statistics & Data Analysis, Information Processing & Management and IEEE Transactions on Computers.
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.