John Moody

10.3k citations

58 papers · 7.8k · 3 hit papers · h-index 28

Impact in

Artificial Intelligence top 0.2%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Computer Vision and Pattern Recognition top 0.5%
- Face and Expression Recognition

Papers in

Artificial Intelligence 26
- Neural Networks and Applications 22
- Stochastic Gradient Optimization Techniques 4
Management Science and Operations Research 17
- Stock Market Forecasting Methods 14
- Forecasting Techniques and Applications 5

Co-authors: Christian J. Darken (4 shared papers)Richard P. Lippmann (3 shared papers)David S. Touretzky (2 shared papers)Frank Wilczek (6 shared papers)Matthew Saffell (7 shared papers)Howard H. Yang (1 shared paper)Chris Darken (3 shared papers)Lizhong Wu (8 shared papers)
Journals: Neural Computation (3 papers)Physical Review Letters (2 papers)Journal of Forecasting (2 papers)Neural Networks (1 paper)Canadian Journal of Fisheries and Aquatic Sciences (1 paper)
Partner nations: United States Canada Germany

In The Last Decade

John Moody

57 papers receiving 7.2k citations

John Moody's Hit Papers

align trajectories log scale

Proceedings of the 3rd International Conference on Neural Information Processing Systems 1990 · 998 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

1990 Proceedings of the 3rd International Conference on Neural Information Processing Systems
1989 Neural Computation
1984 Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields

Peers

Countries citing papers authored by John Moody

Since Specialization

Citations

This map shows the geographic impact of John 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 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 Moody more than expected).

Fields of papers citing papers by John Moody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John 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 Moody Line = papers co-authored together John Moody links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Fast Learning in Networks of Locally-Tuned Processing Units Neural Computation ·John Moody, Christian J. Darken Hit paper breakdown →	1989	3408
2	Proceedings of the 3rd International Conference on Neural Information Processing Systems Richard P. Lippmann, John Moody, David S. Touretzky Hit paper breakdown →	1990	998
3	The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems Neural Information Processing Systems ·John Moody	1991	360
4	New macroscopic forces? Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields ·John Moody, Frank Wilczek Hit paper breakdown →	1984	346
5	Learning to trade via direct reinforcement IEEE Transactions on Neural Networks ·John Moody, Matthew Saffell	2001	314
6	Data Visualization and Feature Selection: New Algorithms for Nongaussian Data Howard H. Yang, John Moody	1999	246
7	Realizations of Magnetic-Monopole Gauge Fields: Diatoms and Spin Precession Physical Review Letters ·John Moody, Alfred D. Shapere, Frank Wilczek	1986	212
8	Performance functions and reinforcement learning for trading systems and portfolios Journal of Forecasting ·John Moody, Lizhong Wu, Yuansong Liao, Matthew Saffell	1998	201
9	Fast adaptive k-means clustering: some empirical results Chris Darken, John Moody	1990	135
10	Learning rate schedules for faster stochastic gradient search Chris Darken, J. Chang, John Moody	2003	134
11	Prediction Risk and Architecture Selection for Neural Networks John Moody	1994	131
12	Calculations for cosmic axion detection Physical Review Letters ·Lawrence M. Krauss, John Moody, Frank Wilczek, Donald E. Morris	1985	125
13	Fast Learning in Multi-Resolution Hierarchies Neural Information Processing Systems ·John Moody	1988	121
14	Note on Learning Rate Schedules for Stochastic Optimization Neural Information Processing Systems ·Christian J. Darken, John Moody	1990	106
15	Internal representations for associative memory Biological Cybernetics ·Eric B. Baum, John Moody, Frank Wilczek	1988	104
16	Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction Neural Information Processing Systems ·John Moody, Joachim Utans	1991	89
17	Towards Faster Stochastic Gradient Search Neural Information Processing Systems ·Christian J. Darken, John Moody	1991	79
18	Note on generalization, regularization and architecture selection in nonlinear learning systems John Moody	2002	72
19	Neural-network models for the blood glucose metabolism of a diabetic IEEE Transactions on Neural Networks ·Volker Tresp, T. Briegel, John Moody	1999	69
20	A stellar energy loss mechanism involving axions Physics Letters B ·Lawrence M. Krauss, John Moody, Frank Wilczek	1984	54

About John Moody

John Moody is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Finance and Signal Processing, having authored 58 papers that have together received 7.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Stock Market Forecasting Methods (14 papers), Complex Systems and Time Series Analysis (8 papers), Blind Source Separation Techniques (6 papers), Financial Markets and Investment Strategies (6 papers), Forecasting Techniques and Applications (5 papers), Neural dynamics and brain function (5 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (1.4k citations), Management Science and Operations Research (837 citations), Signal Processing (707 citations) and Control and Systems Engineering (1.2k citations). John Moody has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Christian J. Darken, Richard P. Lippmann, David S. Touretzky, Frank Wilczek, Matthew Saffell, Howard H. Yang, Chris Darken, Lizhong Wu, Alfred D. Shapere and Lawrence M. Krauss. Their work appears in journals such as Neural Computation, Physical Review Letters, Journal of Forecasting, Neural Networks and Canadian Journal of Fisheries and Aquatic 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.

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John Moody

John Moody's Hit Papers

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About John Moody

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