Eric Hartman
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
-
- Fault Detection and Control Systems
- Control Systems and Identification
- Adaptive Control of Nonlinear Systems
Papers in
-
- 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
-
- Advanced Memory and Neural Computing 2
- Optical Network Technologies 1
- Co-authors
- James D. Keeler (5 shared papers)J. Kowalski (1 shared paper)Carsten Peterson (2 shared papers)Richard Kiely (1 shared paper)S. Piche (1 shared paper)B. Sayyarrodsari (1 shared paper)Carl A. Schweiger (1 shared paper)
- Journals
- Neural Computation (4 papers)Network Computation in Neural Systems (2 papers)ISA Transactions (1 paper)Neural Networks (1 paper)2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Hartman
10 papers receiving 664 citations
Eric Hartman's Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 448
- Control and Systems Engineering 223
- Signal Processing 72
- Computer Vision and Pattern Recognition 117
- Statistical and Nonlinear Physics 69
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 | 558 |
| 2 | 1989 | 87 | |
| 3 | 1991 | 59 | |
| 4 | 2000 | 12 | |
| 5 | 1991 | 6 | |
| 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 | 2004 | 3 | |
| 9 | 1990 | 2 | |
| 10 | 1991 | 2 | |
| 11 | 2002 | 0 |
About Eric Hartman
Eric Hartman is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Signal Processing and Control and Systems Engineering, having authored 11 papers that have together received 738 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), Fuzzy Logic and Control Systems (2 papers), Advanced Memory and Neural Computing (2 papers), Blind Source Separation Techniques (2 papers), Neural Networks and Reservoir Computing (2 papers) and Optical Network Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (448 citations), Control and Systems Engineering (223 citations), Signal Processing (72 citations), Computer Vision and Pattern Recognition (117 citations) and Statistical and Nonlinear Physics (69 citations). Eric Hartman has collaborated with scholars based in United States. Frequent co-authors include James D. Keeler, J. Kowalski, Carsten Peterson, Richard Kiely, S. Piche, B. Sayyarrodsari and Carl A. Schweiger. Their work appears in journals such as Neural Computation, Network Computation in Neural Systems, ISA Transactions, Neural Networks and 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
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.