Mario J. Gonzalez
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 3
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- Scheduling and Optimization Algorithms 2
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- Distributed and Parallel Computing Systems 2
- Optimization and Search Problems 1
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- Neural Networks and Applications 2
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- Advanced Control Systems Optimization 1
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- Image and Signal Denoising Methods 1
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- Nuclear reactor physics and engineering 1
- Co-authors
- C. V. RamamoorthyK. Mani ChandySteven A. GuccioneCecilia Martı́n-del-CampoJuan‐Luis François
- Cited by
- Hardware and ArchitectureIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Journals
- ACM Computing Surveys (1 paper)IEEE Transactions on Computers (1 paper)Annals of Nuclear Energy (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Mario J. Gonzalez
5 papers receiving 314 citations
Peers
Comparison fields: 5 of 30
- Hardware and Architecture 199
- Industrial and Manufacturing Engineering 123
- Computer Networks and Communications 232
- Computational Theory and Mathematics 55
- Software 6
Countries citing papers authored by Mario J. Gonzalez
This map shows the geographic impact of Mario J. Gonzalez'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 Mario J. Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario J. Gonzalez more than expected).
Fields of papers citing papers by Mario J. Gonzalez
This network shows the impact of papers produced by Mario J. Gonzalez. 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 Mario J. Gonzalez. The network helps show where Mario J. Gonzalez may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Mario J. Gonzalez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 16 | |
| 2 | 1995 | 2 | |
| 3 | Neural network implementation using reconfigurable architectures | 1994 | 11 |
| 4 | 1993 | 0 | |
| 5 | 1977 | 150 | |
| 6 | 1972 | 161 |
About Mario J. Gonzalez
Mario J. Gonzalez is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers), Neural Networks and Applications (2 papers), Scheduling and Optimization Algorithms (2 papers), Advanced Control Systems Optimization (1 paper), Image and Signal Denoising Methods (1 paper), Optimization and Search Problems (1 paper) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Hardware and Architecture (199 citations), Industrial and Manufacturing Engineering (123 citations) and Computer Networks and Communications (232 citations). Mario J. Gonzalez has collaborated with scholars based in United States and Mexico. Frequent co-authors include C. V. Ramamoorthy, K. Mani Chandy, Steven A. Guccione, Cecilia Martı́n-del-Campo and Juan‐Luis François. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Computers, Annals of Nuclear Energy, Concurrency Practice and Experience and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.