Jeff Heaton
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Adversarial Robustness in Machine Learning
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Evolutionary Algorithms and Applications 2
- Neural Networks and Applications 2
- Data Stream Mining Techniques 1
- Artificial Intelligence in Games 1
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- Distributed and Parallel Computing Systems 1
- Co-authors
- James Cannady (2 shared papers)Aixia Guo (1 shared paper)Michael K. Pasque (1 shared paper)Brian P. Cupps (1 shared paper)Randi E. Foraker (1 shared paper)M. Damiano (1 shared paper)Shaun C. Desai (1 shared paper)Adeeb Derakhshan (1 shared paper)
- Journals
- Genetic Programming and Evolvable Machines (2 papers)JACC Heart Failure (1 paper)Facial Plastic Surgery & Aesthetic Medicine (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Jeff Heaton
13 papers receiving 817 citations
Jeff Heaton's Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 290
- Signal Processing 93
- Computer Vision and Pattern Recognition 123
- Health Informatics 8
- Health Information Management 24
Countries citing papers authored by Jeff Heaton
This map shows the geographic impact of Jeff Heaton'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 Jeff Heaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Heaton more than expected).
Fields of papers citing papers by Jeff Heaton
This network shows the impact of papers produced by Jeff Heaton. 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 Jeff Heaton. The network helps show where Jeff Heaton may publish in the future.
Co-authors
The 9 scholars most cited alongside Jeff Heaton, 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 | Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning Hit paper breakdown → | 2017 | 581 |
| 2 | Introduction to Neural Networks for C#, 2nd Edition | 2008 | 84 |
| 3 | Introduction to neural networks for C | 2008 | 41 |
| 4 | 2011 | 34 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2022 | 15 | |
| 8 | Programming Spiders, Bots, and Aggregators in Java | 2002 | 9 |
| 9 | Programming Neural Networks with Encog2 in C | 2010 | 8 |
| 10 | 2017 | 6 | |
| 11 | Introduction to Linden Scripting Language for Second Life | 2007 | 6 |
| 12 | 2018 | 1 | |
| 13 | 2007 | 1 | |
| 14 | Java for the Beginning Programmer | 2006 | 1 |
| 15 | 2025 | 0 | |
| 16 | JSTL: JSP Standard Tag Library Kick Start | 2002 | 0 |
About Jeff Heaton
Jeff Heaton is a scholar working on Artificial Intelligence, Computer Networks and Communications, Neurology, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 16 papers that have together received 849 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (2 papers), Neural Networks and Applications (2 papers), Data Stream Mining Techniques (1 paper), Artificial Intelligence in Games (1 paper), Heart Failure Treatment and Management (1 paper), Advanced machining processes and optimization (1 paper), Advanced Malware Detection Techniques (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Artificial Intelligence (290 citations), Signal Processing (93 citations), Computer Vision and Pattern Recognition (123 citations), Health Informatics (8 citations) and Health Information Management (24 citations). Jeff Heaton has collaborated with scholars based in United States and Poland. Frequent co-authors include James Cannady, Aixia Guo, Michael K. Pasque, Brian P. Cupps, Randi E. Foraker, M. Damiano, Shaun C. Desai, Adeeb Derakhshan and Jason C. Nellis. Their work appears in journals such as Genetic Programming and Evolvable Machines, JACC Heart Failure, Facial Plastic Surgery & Aesthetic Medicine, SAE technical papers on CD-ROM/SAE technical paper series and CERN Document Server (European Organization for Nuclear Research).
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.