Michael Perrone
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 13
-
- Handwritten Text Recognition Techniques 13
- Co-authors
- Leon N. Cooper (4 shared papers)Fabrizio Petrini (4 shared papers)Michael Kistler (1 shared paper)Venu Govindaraju (1 shared paper)John F. Pitrelli (3 shared papers)Faisal Farooq (1 shared paper)Juan Fernández (1 shared paper)Ana Lucia Vărbănescu (1 shared paper)
- Journals
- IBM Journal of Research and Development (2 papers)IEEE Micro (1 paper)IBM Systems Journal (1 paper)Computer Science - Research and Development (1 paper)Muscle & Nerve (1 paper)
- Partner nations
- United StatesIrelandTaiwan
In The Last Decade
Michael Perrone
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Hardware and Architecture 297
- Artificial Intelligence 506
- Computer Vision and Pattern Recognition 260
- Computer Networks and Communications 114
- Management Science and Operations Research 83
Countries citing papers authored by Michael Perrone
This map shows the geographic impact of Michael Perrone'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 Michael Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Perrone more than expected).
Fields of papers citing papers by Michael Perrone
This network shows the impact of papers produced by Michael Perrone. 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 Michael Perrone. The network helps show where Michael Perrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Perrone, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 613 | |
| 2 | 2006 | 245 | |
| 3 | Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization | 1993 | 135 |
| 4 | 2007 | 78 | |
| 5 | 2005 | 70 | |
| 6 | 2019 | 40 | |
| 7 | Putting It All Together: Methods for Combining Neural Networks | 1993 | 23 |
| 8 | 2004 | 22 | |
| 9 | 2002 | 21 | |
| 10 | 2012 | 19 | |
| 11 | 2002 | 16 | |
| 12 | 2003 | 16 | |
| 13 | 1995 | 14 | |
| 14 | 2020 | 14 | |
| 15 | Averaging/modular techniques for neural networks | 1998 | 13 |
| 16 | 2008 | 13 | |
| 17 | 2006 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 11 | |
| 20 | Post-Hebbian learning rules | 1998 | 9 |
About Michael Perrone
Michael Perrone is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Geophysics, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Parallel Computing and Optimization Techniques (13 papers), Neural Networks and Applications (9 papers), Interconnection Networks and Systems (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Hardware and Architecture (297 citations), Artificial Intelligence (506 citations), Computer Vision and Pattern Recognition (260 citations), Computer Networks and Communications (114 citations) and Management Science and Operations Research (83 citations). Michael Perrone has collaborated with scholars based in United States, Ireland and Taiwan. Frequent co-authors include Leon N. Cooper, Fabrizio Petrini, Michael Kistler, Venu Govindaraju, John F. Pitrelli, Faisal Farooq, Juan Fernández, Ana Lucia Vărbănescu, J. Subrahmonia and Debarun Bhattacharjya. Their work appears in journals such as IBM Journal of Research and Development, IEEE Micro, IBM Systems Journal, Computer Science - Research and Development and Muscle & Nerve.
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.