John Moody

10.2k total citations · 3 hit papers
50 papers, 6.8k citations indexed

About

John Moody is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, John Moody has authored 50 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 8 papers in Economics and Econometrics. Recurrent topics in John Moody's work include Neural Networks and Applications (18 papers), Stock Market Forecasting Methods (11 papers) and Complex Systems and Time Series Analysis (8 papers). John Moody is often cited by papers focused on Neural Networks and Applications (18 papers), Stock Market Forecasting Methods (11 papers) and Complex Systems and Time Series Analysis (8 papers). John Moody collaborates with scholars based in United States, United Kingdom and Canada. John Moody's 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 and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Physics Letters B.

In The Last Decade

John Moody

49 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fast Learning in Networks of Locally-Tuned Processing Units

1989 3.0k citations John Moody, Christian J. Darken profile →
Proceedings of the 3rd International Conference on Neural Information Processing Systems

1990 928 citations John Moody et al. profile →
New macroscopic forces?

1984 330 citations John Moody, Frank Wilczek profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Moody United States	27	3.4k	1.2k	1.1k	712	602	50	6.8k
George Cybenko United States	30	5.3k 1.6×	1.3k 1.1×	2.3k 2.1×	682 1.0×	1.0k 1.7×	151	12.9k
J. E. Dennis United States	40	3.0k 0.9×	812 0.7×	2.5k 2.4×	1.2k 1.8×	334 0.6×	86	18.0k
Reuven Y. Rubinstein Israel	29	2.3k 0.7×	1.1k 0.9×	873 0.8×	1.6k 2.2×	287 0.5×	69	10.8k
Marc Teboulle Israel	39	2.5k 0.7×	3.6k 3.0×	779 0.7×	765 1.1×	998 1.7×	95	14.9k
Donald Goldfarb United States	39	1.2k 0.3×	2.5k 2.1×	1.2k 1.1×	988 1.4×	705 1.2×	104	11.8k
Jorge J. Morè United States	38	1.7k 0.5×	926 0.8×	1.5k 1.5×	538 0.8×	204 0.3×	66	13.3k
Dirk P. Kroese Australia	33	1.9k 0.6×	984 0.8×	688 0.7×	1.3k 1.9×	265 0.4×	125	9.7k
C Moler United States	25	942 0.3×	560 0.5×	1.2k 1.2×	220 0.3×	381 0.6×	60	11.5k
Liqun Qi Hong Kong	60	770 0.2×	454 0.4×	1.1k 1.1×	425 0.6×	328 0.5×	433	15.6k
Thomas F. Coleman United States	36	774 0.2×	602 0.5×	1.2k 1.1×	528 0.7×	248 0.4×	122	9.2k

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-authorship network of co-authors of John Moody

This figure shows the co-authorship network connecting the top 25 collaborators of John Moody. A scholar is included among the top collaborators of John Moody based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Moody. John Moody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Atlas, William I., Kyle L. Wilson, Charlotte K. Whitney, et al.. (2022). Quantifying regional patterns of collapse in British Columbia Central Coast chum salmon (Oncorhynchus keta) populations since 1960. Canadian Journal of Fisheries and Aquatic Sciences. 79(12). 2072–2086. 5 indexed citations

2.

Moody, John. (2018). Economic forecasting : challenges and neural network solutions. OHSU Digital Commons. 2 indexed citations

3.

Moody, John, et al.. (2004). Stochastic Direct Reinforcement: Application to Simple Games with Recurrence.. National Conference on Artificial Intelligence. 23–34. 7 indexed citations

4.

Darken, Chris, J. Chang, & John Moody. (2003). Learning rate schedules for faster stochastic gradient search. 3–12. 116 indexed citations

5.

Moody, John, et al.. (2002). Selecting neural network architectures via the prediction risk: application to corporate bond rating prediction. 35–41. 38 indexed citations

6.

Moody, John & Lizhong Wu. (2002). What is the "true price"? state space models for high frequency FX data. 10. 150–156. 11 indexed citations

7.

Moody, John. (2002). Note on generalization, regularization and architecture selection in nonlinear learning systems. 1–10. 64 indexed citations

8.

Dunis, Christian L., John Moody, & Allan Timmermann. (2001). Developments in forecast combination and portfolio choice. Wiley eBooks. 35 indexed citations

9.

Moody, John & Matthew Saffell. (2001). Learning to trade via direct reinforcement. IEEE Transactions on Neural Networks. 12(4). 875–889. 272 indexed citations

10.

Burgess, Andrew N., et al.. (1998). Decision technologies for computational finance : proceedings of the Fifth International Conference Computational Finance. Kluwer Academic Publishers eBooks. 2 indexed citations

11.

Moody, John. (1991). The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. Neural Information Processing Systems. 4. 847–854. 318 indexed citations

12.

Moody, John, et al.. (1991). Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. Neural Information Processing Systems. 4. 683–690. 66 indexed citations

13.

Moody, John & Norman Yarvin. (1991). Networks with Learned Unit Response Functions. Neural Information Processing Systems. 4. 1048–1055. 21 indexed citations

14.

Darken, Christian J. & John Moody. (1991). Towards Faster Stochastic Gradient Search. Neural Information Processing Systems. 4. 1009–1016. 64 indexed citations

15.

Darken, Christian J. & John Moody. (1990). Note on Learning Rate Schedules for Stochastic Optimization. Neural Information Processing Systems. 3. 832–838. 93 indexed citations

16.

Darken, Chris & John Moody. (1990). Fast adaptive k-means clustering: some empirical results. 233–238 vol.2. 118 indexed citations

17.

Moody, John, et al.. (1989). Note on Development of Modularity in Simple Cortical Models. Neural Information Processing Systems. 2. 133–140. 3 indexed citations

18.

Moody, John. (1988). Fast Learning in Multi-Resolution Hierarchies. Neural Information Processing Systems. 1. 29–39. 103 indexed citations

19.

Baum, Eric B., John Moody, & Frank Wilczek. (1988). Internal representations for associative memory. Biological Cybernetics. 59(4-5). 217–228. 91 indexed citations

20.

Eğecioǧlu, Ömer, Terence R. Smith, & John Moody. (1987). Computable functions and complexity in neural networks. Elsevier eBooks. 135–164. 2 indexed citations

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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