John E. Moody

10.3k citations
57 papers · 7.8k · 2 hit papers · h-index 28

Impact in

Papers in

John E. Moody

55 papers receiving 7.3k citations

John E. Moody's Hit Papers

Proceedings of the 3rd International Conference on Neural Information Processing Systems 1990 · 1.0k citations
1.0k0+12+24Years since publication10002.0k3.0k

Peers

John E. Moody
Comparison fields: 5 of 186
  • Artificial Intelligence 4.0k
  • Management Science and Operations Research 834
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 694
  • Control and Systems Engineering 1.2k
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Reuven Y. Rubinstein Israel
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Countries citing papers authored by John E. Moody

Since Specialization
Citations

This map shows the geographic impact of John E. Moody'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 John E. Moody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Moody more than expected).

Fields of papers citing papers by John E. Moody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Moody. 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 John E. Moody. The network helps show where John E. Moody may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Moody, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. Moody Line = papers co-authored together John E. Moody links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fast Learning in Networks of Locally-Tuned Processing Units
Hit paper breakdown →
19893398
2
Proceedings of the 3rd International Conference on Neural Information Processing Systems
Hit paper breakdown →
19901031
3 1984367
4
The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems
1991345
5 2001324
6
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data
1999243
7 1986211
8 1998202
9 1985140
10 1990135
11 1994133
12 2003128
13
Fast Learning in Multi-Resolution Hierarchies
1988115
14
Note on Learning Rate Schedules for Stochastic Optimization
1990104
15 1988102
16
Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction
199188
17 200273
18
Towards Faster Stochastic Gradient Search
199172
19 199968
20 198460

About John E. Moody

John E. Moody is a scholar working on Management Science and Operations Research, Artificial Intelligence, Finance, Signal Processing and Economics and Econometrics, having authored 57 papers that have together received 7.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Stock Market Forecasting Methods (13 papers), Complex Systems and Time Series Analysis (7 papers), Financial Markets and Investment Strategies (6 papers), Blind Source Separation Techniques (5 papers), Neural dynamics and brain function (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Artificial Intelligence (4.0k citations), Management Science and Operations Research (834 citations), Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (694 citations) and Control and Systems Engineering (1.2k citations). John E. Moody has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Christian J. Darken, Richard P. Lippmann, David S. Touretzky, Frank Wilczek, Matthew Saffell, Howard Hua Yang, Chris Darken, Lizhong Wu, Alfred D. Shapere and Lawrence M. Krauss. Their work appears in journals such as Neural Computation, Journal of Forecasting, Physical Review Letters, The Astrophysical Journal and Physics Letters B.

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.

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