James C. Spall

7.7k total citations · 2 hit papers
172 papers, 5.1k citations indexed

About

James C. Spall is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, James C. Spall has authored 172 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 60 papers in Management Science and Operations Research and 55 papers in Control and Systems Engineering. Recurrent topics in James C. Spall's work include Simulation Techniques and Applications (54 papers), Control Systems and Identification (35 papers) and Target Tracking and Data Fusion in Sensor Networks (33 papers). James C. Spall is often cited by papers focused on Simulation Techniques and Applications (54 papers), Control Systems and Identification (35 papers) and Target Tracking and Data Fusion in Sensor Networks (33 papers). James C. Spall collaborates with scholars based in United States, Denmark and Singapore. James C. Spall's co-authors include J.A. Cristion, D.C. Chin, J.L. Maryak, S.D. Hill, Roger Ghanem, Sonjoy Das, Michael E. Welch, Kent D. Wall, Daniel Q. Naiman and Qi Wang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.

In The Last Decade

James C. Spall

163 papers receiving 4.8k citations

Hit Papers

Multivariate stochastic approximation using a simultaneou... 1992 2026 2003 2014 1992 1998 400 800 1.2k
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.

  1. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
    1992 1.5k citations James C. Spall profile →
  2. Implementation of the simultaneous perturbation algorithm for stochastic optimization
    1998 558 citations James C. Spall IEEE Transactions on Aerospace and Electronic Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James C. Spall United States 26 1.8k 1.6k 1.2k 719 501 172 5.1k
G. George Yin United States 27 1.8k 1.0× 1.3k 0.8× 797 0.7× 471 0.7× 186 0.4× 111 5.4k
Matthias Seeger Germany 30 1.1k 0.6× 3.0k 1.8× 662 0.6× 774 1.1× 211 0.4× 60 5.7k
Anatoli Juditsky France 23 1.7k 0.9× 2.4k 1.5× 735 0.6× 404 0.6× 226 0.5× 68 5.1k
Peter E. Caines Canada 34 2.6k 1.4× 717 0.4× 784 0.7× 831 1.2× 111 0.2× 294 6.5k
Huibert Kwakernaak Netherlands 15 3.5k 2.0× 911 0.6× 1.4k 1.2× 571 0.8× 357 0.7× 31 6.2k
Virginia Torczon United States 23 802 0.4× 1.2k 0.8× 561 0.5× 2.2k 3.1× 681 1.4× 28 5.7k
Steven I. Marcus United States 39 1.5k 0.8× 1.1k 0.7× 800 0.7× 1.2k 1.7× 164 0.3× 220 4.7k
Rafael Martı́ Spain 38 544 0.3× 1.5k 0.9× 613 0.5× 1.1k 1.5× 113 0.2× 155 5.7k
Dan Simon United States 35 1.4k 0.8× 2.6k 1.6× 348 0.3× 908 1.3× 140 0.3× 136 5.7k
Quan Pan China 50 1.6k 0.9× 3.1k 1.9× 564 0.5× 583 0.8× 170 0.3× 443 7.9k

Countries citing papers authored by James C. Spall

Since Specialization
Citations

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

Fields of papers citing papers by James C. Spall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Spall. 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 James C. Spall. The network helps show where James C. Spall may publish in the future.

Co-authorship network of co-authors of James C. Spall

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Spall. A scholar is included among the top collaborators of James C. Spall 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 James C. Spall. James C. Spall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Spall, James C., et al.. (2021). Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case. 4039–4044. 1 indexed citations
3.
Spall, James C., et al.. (2020). Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning. International Journal of Robust and Nonlinear Control. 30(15). 5820–5870. 4 indexed citations
4.
Spall, James C., et al.. (2020). Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case. 2599–2604. 1 indexed citations
5.
Spall, James C., et al.. (2019). Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 3087–3099. 11 indexed citations
6.
Spall, James C., et al.. (2018). Probabilistic Bounds in Tracking a Discrete-Time Varying Process. 4849–4854. 9 indexed citations
7.
Peterson, Cameron K., Andrew Newman, & James C. Spall. (2014). Simulation-based examination of the limits of performance for decentralized multi-agent surveillance and tracking of undersea targets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9091. 90910F–90910F. 11 indexed citations
8.
Spall, James C., et al.. (2014). Cyclic stochastic optimization with noisy function measurements. 5204–5209. 8 indexed citations
9.
Song, Qing, et al.. (2008). Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. IEEE Transactions on Neural Networks. 19(5). 817–835. 47 indexed citations
10.
Maryak, J.L. & James C. Spall. (2005). Simultaneous perturbation optimization for efficient image restoration. IEEE Transactions on Aerospace and Electronic Systems. 41(1). 356–361. 9 indexed citations
11.
Spall, James C., et al.. (2002). Optimal sensor configuration for complex systems. 27. 376–380. 12 indexed citations
12.
Hill, S.D. & James C. Spall. (2000). Inequality-based reliability estimates for complex systems. 86. 2704–2705 vol.4. 1 indexed citations
13.
Spall, James C.. (1998). An Overview of the Simultaneous Perturbation Method for Efficient Optimization. Johns Hopkins APL technical digest. 19(4). 141–154. 310 indexed citations
14.
Maryak, J.L., et al.. (1997). Use of the Kalman filter for inference in state-space models with unknown noise distributions. 2127–2132 vol.3. 4 indexed citations
15.
16.
Hill, S.D. & James C. Spall. (1994). Sensitivity of a Bayesian analysis to the prior distribution. IEEE Transactions on Systems Man and Cybernetics. 24(2). 216–221. 14 indexed citations
17.
Spall, James C. & J.A. Cristion. (1991). Efficient Weight Estimation in Neural Networks for Adaptive Control. 16–20. 1 indexed citations
18.
Spall, James C.. (1987). A Stochastic Approximation Technique for Generating Maximum Likelihood Parameter Estimates. American Control Conference. 1161–1167. 104 indexed citations
19.
Spall, James C.. (1985). An implicit function based procedure for analyzing maximum likelihood estimates from nonidentically distributed data. Communication in Statistics- Theory and Methods. 14(7). 1719–1730. 4 indexed citations
20.
Spall, James C., et al.. (1985). An Approach to Isolating Sources of Errors in Invalid State Space Models based on Stochastic Approximation. American Control Conference. 1350–1356. 5 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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