James E. Steck

1.5k citations
120 papers · 1.0k · h-index 17

Impact in

Papers in

James E. Steck

110 papers receiving 978 citations

Peers

James E. Steck
Comparison fields: 5 of 83
  • Control and Systems Engineering 349
  • Aerospace Engineering 329
  • Artificial Intelligence 447
  • Computational Theory and Mathematics 145
  • 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
Shiyou Yang China
Weicong Na China
Dengping Duan China
Zi‐Jiang Yang Japan
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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200093
2 200441
3 201940
4 200839
5 202034
6 199333
7 199430
8 201329
9 199428
10 199523
11 201022
12 199621
13
A Quantum Neural Network Computes Entanglement
200219
14 200819
15 201417
16 202016
17 200016
18 199515
19 200615
20 200415

About James E. Steck

James E. Steck is a scholar working on Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 120 papers that have together received 1.0k 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 (23 papers), Quantum Information and Cryptography (17 papers), Fault Detection and Control Systems (14 papers), Neural Networks and Reservoir Computing (12 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Control and Systems Engineering (349 citations), Aerospace Engineering (329 citations), Artificial Intelligence (447 citations), Computational Theory and Mathematics (145 citations) and Statistics, Probability and Uncertainty (42 citations). James E. Steck has collaborated with scholars based in United States, India and Ukraine. Frequent co-authors include Elizabeth Behrman, Kamran Rokhsaz, S.R. Skinner, Nam H. Nguyen, S.N. Balakrishnan, Silvio Ferrari, John Watkins, Nhan T. Nguyen, Mohamed A. Moustafa and Shyh‐Pyng Shue. 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 Physical Review A.

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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