Eric B. Baum
- Artificial Intelligence top 0.5%
- Machine Learning and Algorithms 8
- Neural Networks and Applications 7
- Artificial Intelligence in Games 5
- Evolutionary Algorithms and Applications 5
- Machine Learning and Data Classification 4
- Metaheuristic Optimization Algorithms Research 4
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- Computability, Logic, AI Algorithms 7
- Signal Processing top 5%
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- DNA and Biological Computing 3
- Co-authors
- David HausslerFrank WilczekCharles GarrettDan BonehJohn MoodyKevin LangRichard B. LiptonGary William Flake
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- Neural Computation (7 papers)Physical Review Letters (3 papers)Journal of Complexity (2 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
Eric B. Baum
40 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 408
- Computational Theory and Mathematics 281
- Signal Processing 189
- Statistical and Nonlinear Physics 132
Countries citing papers authored by Eric B. Baum
This map shows the geographic impact of Eric B. Baum'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 B. Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric B. Baum more than expected).
Fields of papers citing papers by Eric B. Baum
This network shows the impact of papers produced by Eric B. Baum. 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 B. Baum. The network helps show where Eric B. Baum may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Eric B. Baum, 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 | Artificial general intelligence: Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5-8, 2010 | 2010 | 2 |
| 2 | A Working Hypothesis for General Intelligence | 2007 | 2 |
| 3 | 2002 | 40 | |
| 4 | 2001 | 20 | |
| 5 | DNA based computers II : DIMACS workshop, June 10-12, 1996 | 1999 | 2 |
| 6 | 1999 | 25 | |
| 7 | 1997 | 31 | |
| 8 | 1996 | 50 | |
| 9 | DNA based computers : proceedings of a DIMACS workshop, April 4, 1995, Princeton University | 1996 | 6 |
| 10 | Toward a model of mind as a laissez-faire economy of idiots | 1996 | 5 |
| 11 | On optimal game tree propagation for imperfect players | 1992 | 5 |
| 12 | 1991 | 109 | |
| 13 | Constructing Hidden Units using Examples and Queries | 1990 | 52 |
| 14 | 1990 | 51 | |
| 15 | 1990 | 49 | |
| 16 | 1988 | 243 | |
| 17 | Supervised Learning of Probability Distributions by Neural Networks | 1987 | 99 |
| 18 | 1987 | 9 | |
| 19 | 1986 | 14 | |
| 20 | Zeta Function Renormalization and Quantum Gravity. | 1982 | 1 |
About Eric B. Baum
Eric B. Baum is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Signal Processing, Mathematical Physics and Geometry and Topology, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (8 papers), Neural Networks and Applications (7 papers), Computability, Logic, AI Algorithms (7 papers), Artificial Intelligence in Games (5 papers), Evolutionary Algorithms and Applications (5 papers), Machine Learning and Data Classification (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and DNA and Biological Computing (3 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (408 citations), Computational Theory and Mathematics (281 citations), Signal Processing (189 citations) and Statistical and Nonlinear Physics (132 citations). Eric B. Baum has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include David Haussler, Frank Wilczek, Charles Garrett, Dan Boneh, John Moody, Kevin Lang, Richard B. Lipton, Gary William Flake, Warren D. Smith and Yuh‐Dauh Lyuu. Their work appears in journals such as Neural Computation, Physical Review Letters, Journal of Complexity, Nuclear Physics B and Behavioral and Brain Sciences.
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.