Robert J. Marks
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Fuzzy Logic and Control Systems
- Anomaly Detection Techniques and Applications
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
Papers in
-
- Neural Networks and Applications 3
- Evolutionary Algorithms and Applications 2
-
- Machine Fault Diagnosis Techniques 2
- Co-authors
- Russell Reed (1 shared paper)Charles J. Robinson (1 shared paper)Jacek M. Żurada (1 shared paper)M.A. El-Sharkawi (3 shared papers)Isidor Kerszenbaum (2 shared papers)William A. Dembski (3 shared papers)J.J. Choi (1 shared paper)B.B. Thompson (1 shared paper)
- Journals
- IEEE Transactions on Energy Conversion (2 papers)Signal Image and Video Processing (1 paper)Journal of Advanced Computational Intelligence and Intelligent Informatics (1 paper)The MIT Press eBooks (1 paper)IEEE Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Robert J. Marks
9 papers receiving 740 citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 395
- Control and Systems Engineering 145
- Computational Theory and Mathematics 83
- Computer Vision and Pattern Recognition 101
- Signal Processing 47
Countries citing papers authored by Robert J. Marks
This map shows the geographic impact of Robert J. Marks'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 Robert J. Marks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Marks more than expected).
Fields of papers citing papers by Robert J. Marks
This network shows the impact of papers produced by Robert J. Marks. 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 Robert J. Marks. The network helps show where Robert J. Marks may publish in the future.
Co-authors
The 10 scholars most cited alongside Robert J. Marks, 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 | Computational Intelligence: Imitating Life | 1994 | 332 |
| 2 | 1999 | 316 | |
| 3 | 1999 | 52 | |
| 4 | 2003 | 34 | |
| 5 | 2000 | 20 | |
| 6 | 2010 | 16 | |
| 7 | 2003 | 10 | |
| 8 | 2010 | 9 | |
| 9 | 2013 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2022 | 0 |
About Robert J. Marks
Robert J. Marks is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Mechanical Engineering, having authored 11 papers that have together received 791 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Evolutionary Algorithms and Applications (2 papers), Machine Fault Diagnosis Techniques (2 papers), Non-Destructive Testing Techniques (2 papers), Computability, Logic, AI Algorithms (2 papers), Acoustic Wave Resonator Technologies (1 paper), Optimization and Search Problems (1 paper) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (395 citations), Control and Systems Engineering (145 citations), Computational Theory and Mathematics (83 citations), Computer Vision and Pattern Recognition (101 citations) and Signal Processing (47 citations). Robert J. Marks has collaborated with scholars based in United States. Frequent co-authors include Russell Reed, Charles J. Robinson, Jacek M. Żurada, M.A. El-Sharkawi, Isidor Kerszenbaum, William A. Dembski, J.J. Choi, B.B. Thompson, Charles A. Baylis and Benjamin H. Kirk. Their work appears in journals such as IEEE Transactions on Energy Conversion, Signal Image and Video Processing, Journal of Advanced Computational Intelligence and Intelligent Informatics, The MIT Press eBooks and IEEE Press eBooks.
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.