Eric Hartman
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
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- Fault Detection and Control Systems
- Control Systems and Identification
- Adaptive Control of Nonlinear Systems
Papers in
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- Neural Networks and Applications 8
- Machine Learning and ELM 4
- Domain Adaptation and Few-Shot Learning 2
- Fuzzy Logic and Control Systems 2
- Neural Networks and Reservoir Computing 2
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- Blind Source Separation Techniques 2
- Co-authors
- James D. Keeler (5 shared papers)Jacek M. Kowalski (1 shared paper)Carsten Peterson (2 shared papers)Richard C. Kiely (1 shared paper)S. Piche (1 shared paper)Bijan Sayyarrodsari (1 shared paper)Carl A. Schweiger (1 shared paper)
- Journals
- Neural Computation (4 papers)Network Computation in Neural Systems (2 papers)Neural Networks (1 paper)ISA Transactions (1 paper)University of Michigan Library Repository (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Hartman
10 papers receiving 729 citations
Eric Hartman's Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 515
- Control and Systems Engineering 247
- Signal Processing 87
- Computer Vision and Pattern Recognition 132
- Statistical and Nonlinear Physics 75
Countries citing papers authored by Eric Hartman
This map shows the geographic impact of Eric Hartman'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 Eric Hartman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Hartman more than expected).
Fields of papers citing papers by Eric Hartman
This network shows the impact of papers produced by Eric Hartman. 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 Eric Hartman. The network helps show where Eric Hartman may publish in the future.
Co-authors
The 7 scholars most cited alongside Eric Hartman, 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 | Layered Neural Networks with Gaussian Hidden Units as Universal Approximations Hit paper breakdown → | 1990 | 609 |
| 2 | 1989 | 105 | |
| 3 | 1991 | 69 | |
| 4 | 2000 | 12 | |
| 5 | 1991 | 8 | |
| 6 | 1998 | 5 | |
| 7 | Introduction: special section on global service-learning reflexivity in research: reflecting on the borders and boundaries of the GSL field | 2015 | 4 |
| 8 | 1990 | 3 | |
| 9 | 1991 | 2 | |
| 10 | 2004 | 2 | |
| 11 | 2002 | 0 |
About Eric Hartman
Eric Hartman is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, General Agricultural and Biological Sciences and Electrical and Electronic Engineering, having authored 11 papers that have together received 819 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Machine Learning and ELM (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Blind Source Separation Techniques (2 papers), Fuzzy Logic and Control Systems (2 papers), Advanced Memory and Neural Computing (2 papers), Neural Networks and Reservoir Computing (2 papers) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Artificial Intelligence (515 citations), Control and Systems Engineering (247 citations), Signal Processing (87 citations), Computer Vision and Pattern Recognition (132 citations) and Statistical and Nonlinear Physics (75 citations). Eric Hartman has collaborated with scholars based in United States. Frequent co-authors include James D. Keeler, Jacek M. Kowalski, Carsten Peterson, Richard C. Kiely, S. Piche, Bijan Sayyarrodsari and Carl A. Schweiger. Their work appears in journals such as Neural Computation, Network Computation in Neural Systems, Neural Networks, ISA Transactions and University of Michigan Library Repository.
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.