James E. Steck

1.5k citations
114 papers · 927 · h-index 16

Impact in

Papers in

James E. Steck

105 papers receiving 884 citations

Peers

James E. Steck
Comparison fields: 5 of 79
  • Control and Systems Engineering 330
  • Aerospace Engineering 316
  • Artificial Intelligence 394
  • Computational Theory and Mathematics 127
  • Statistics, Probability and Uncertainty 42
Replace R. Scott Erwin with:
R. Scott Erwin United States
A.S. Hodel United States
Jang Gyu Lee South Korea
Chenkun Qi China
Changhong Wang China
Dengping Duan China
Shiyou Yang China
Zi‐Jiang Yang Japan
Fan‐Ren Chang Taiwan
Chunling Du Singapore
James E. Steck relative to R. Scott Erwin United States R. Scott Erwin's profile →
Citations per field
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Citations per year

Countries citing papers authored by James E. Steck

Since Specialization
Citations

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

Fields of papers citing papers by James E. Steck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200077
2 200439
3 201939
4 200837
5 199331
6 199429
7 202029
8 199428
9 201326
10 199523
11 201021
12 199619
13
A Quantum Neural Network Computes Entanglement
200218
14 200817
15 200016
16 201415
17 200415
18 199214
19 202014
20 200314

About James E. Steck

James E. Steck is a scholar working on Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 114 papers that have together received 927 indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (41 papers), Control Systems and Identification (25 papers), Adaptive Control of Nonlinear Systems (23 papers), Quantum Computing Algorithms and Architecture (18 papers), Quantum Information and Cryptography (15 papers), Fault Detection and Control Systems (14 papers), Neural Networks and Reservoir Computing (11 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Control and Systems Engineering (330 citations), Aerospace Engineering (316 citations), Artificial Intelligence (394 citations), Computational Theory and Mathematics (127 citations) and Statistics, Probability and Uncertainty (42 citations). James E. Steck has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Kamran Rokhsaz, Elizabeth Behrman, S.R. Skinner, Nam H. Nguyen, S.N. Balakrishnan, Silvio Ferrari, John Watkins, Mohamed A. Moustafa, Nhan T. Nguyen and Animesh Chakravarthy. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Aircraft, Journal of Guidance Control and Dynamics, Quantum Information and Computation and IEEE Transactions on Neural Networks and Learning Systems.

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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