Michael Perrone

2.0k citations
49 papers · 1.5k · 1 hit paper · h-index 14

Impact in

Papers in

Michael Perrone

48 papers receiving 1.4k citations

Michael Perrone's Hit Papers

When networks disagree: Ensemble methods for hybrid neural networks 1995 · 615 citations
6150+10+20Years since publication200400600

Peers

Michael Perrone
Comparison fields: 5 of 131
  • Hardware and Architecture 270
  • Artificial Intelligence 726
  • Computer Vision and Pattern Recognition 396
  • Computer Networks and Communications 297
  • Signal Processing 102
Replace Jesús González with:
Jesús González Spain
Liqiang Wang United States
Cédric Archambeau United Kingdom
宏治 津田 Japan
Huan Zhang China
Claudio Moraga Germany
Stanley C. Ahalt United States
Rui Min China
Jianping Fan China
Rodrigo Fernandes de Mello Brazil
Michael Perrone relative to Jesús González Spain Jesús González's profile →
Citations per field
00.5×1.7×
Jesús González · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
When networks disagree: Ensemble methods for hybrid neural networks
Hit paper breakdown →
1995615
2 2006256
3
Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization
1993137
4 200778
5 200569
6 201937
7 200330
8
Putting It All Together: Methods for Combining Neural Networks
199324
9 200222
10 200420
11 201219
12 200218
13 200315
14 199514
15 202013
16
Averaging/modular techniques for neural networks
199813
17 200813
18 200911
19 200611
20 200911

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 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (12 papers), Neural Networks and Applications (11 papers), Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (8 papers), Natural Language Processing Techniques (7 papers), Algorithms and Data Compression (6 papers), Distributed and Parallel Computing Systems (6 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Hardware and Architecture (270 citations), Artificial Intelligence (726 citations), Computer Vision and Pattern Recognition (396 citations), Computer Networks and Communications (297 citations) and Signal Processing (102 citations). Michael Perrone has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Leon N. Cooper, Fabrizio Petrini, Michael Kistler, Faisal Farooq, Venu Govindaraju, John F. Pitrelli, Juan Fernández, Ana Lucia Vărbănescu, J. Subrahmonia and K. S. Nathan. Their work appears in journals such as IBM Journal of Research and Development, IEEE Micro, International Journal on Document Analysis and Recognition (IJDAR), Computer Science - Research and Development and The Journal of the Acoustical Society of America.

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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