Michael Perrone

2.0k citations
42 papers · 747 · h-index 13

Impact in

Papers in

Michael Perrone

41 papers receiving 688 citations

Peers

Michael Perrone
Comparison fields: 5 of 92
  • Hardware and Architecture 231
  • Computer Vision and Pattern Recognition 223
  • Computer Networks and Communications 239
  • Artificial Intelligence 279
  • Media Technology 60
Replace F.J. Seinstra with:
F.J. Seinstra Netherlands
Zhe Fan United States
R. H. Perrott United Kingdom
Patrick Hanrahan United States
Samyam Rajbhandari United States
Liquan Xiao China
Sean Ahern United States
Benedict R. Gaster United States
Brad Whitlock United States
Michael Perrone relative to F.J. Seinstra Netherlands F.J. Seinstra's profile →
Citations per field
00.5×1.5×2.1×
F.J. Seinstra · 1×
Citations per year

Countries citing papers authored by Michael Perrone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Perrone Line = papers co-authored together Michael Perrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006226
2
Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization
1993111
3 200765
4 200561
5 201932
6 200327
7
Putting It All Together: Methods for Combining Neural Networks
199322
8 200222
9 200216
10 200416
11 201214
12
Averaging/modular techniques for neural networks
199813
13 200312
14 202011
15 200911
16 200810
17 200910
18
Post-Hebbian learning rules
19988
19 20067
20 19955

About Michael Perrone

Michael Perrone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture and Human-Computer Interaction, having authored 42 papers that have together received 747 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Parallel Computing and Optimization Techniques (8 papers), Natural Language Processing Techniques (7 papers), Neural Networks and Applications (7 papers), Advanced Data Storage Technologies (7 papers), Algorithms and Data Compression (6 papers), Speech Recognition and Synthesis (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Hardware and Architecture (231 citations), Computer Vision and Pattern Recognition (223 citations), Computer Networks and Communications (239 citations), Artificial Intelligence (279 citations) and Media Technology (60 citations). Michael Perrone has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Fabrizio Petrini, Michael Kistler, Faisal Farooq, Venu Govindaraju, John F. Pitrelli, Juan Fernández, Ana Lucia Vărbănescu, J. Subrahmonia, K. S. Nathan and José Santos-Victor. Their work appears in journals such as IBM Journal of Research and Development, Computer Science - Research and Development, The Journal of the Acoustical Society of America, International Journal on Document Analysis and Recognition (IJDAR) and IBM Systems Journal.

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.

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