H.A. Spang

901 citations
28 papers · 648 indexed · h-index 10

H.A. Spang

27 papers receiving 571 citations

Peers

H.A. Spang
Comparison fields: 5 of 80
  • Control and Systems Engineering 306
  • Fluid Flow and Transfer Processes 52
  • Numerical Analysis 34
  • Statistics, Probability and Uncertainty 37
  • Computational Theory and Mathematics 82
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Jeffrey C. Kantor United States
Peter Spellucci Germany
V. Zakian United Kingdom
M. B. Zarrop United Kingdom
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H.A. Spang relative to Jeffrey C. Kantor United States Jeffrey C. Kantor's profile →
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Citations per year

Countries citing papers authored by H.A. Spang

Since Specialization
Citations

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

Fields of papers citing papers by H.A. Spang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.A. Spang. 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 H.A. Spang. The network helps show where H.A. Spang may publish in the future.

Co-authorship network

The 6 scholars most cited alongside H.A. Spang, 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 H.A. Spang Line = papers co-authored together H.A. Spang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Object Tracking Using Local Binary Descriptors
20143
2 20027
3 19934
4 19917
5 19906
6 19903
7 198652
8 198625
9 19845
10
Multivariable control for the F-100 engine using the LQG/LTR methodology. [Linear-Quadratic-Gaussian/Loop Transfer Recovery
19841
11 198433
12 19829
13 19798
14
Failure detection and correction for turbofan engines
197711
15 19768
16 19722
17 197266
18 19659
19 196281
20 1962118

About H.A. Spang

H.A. Spang is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 648 indexed citations. Recurring topics across this work include Control Systems and Identification (10 papers), Advanced Control Systems Optimization (9 papers), Fault Detection and Control Systems (7 papers), Modeling and Simulation Systems (4 papers), Real-time simulation and control systems (4 papers), Simulation Techniques and Applications (4 papers), Embedded Systems Design Techniques (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (306 citations), Fluid Flow and Transfer Processes (52 citations), Numerical Analysis (34 citations), Statistics, Probability and Uncertainty (37 citations) and Computational Theory and Mathematics (82 citations). H.A. Spang has collaborated with scholars based in United States and Switzerland. Frequent co-authors include P.M. Schultheiss, Michael Athans, Petros Kapasouris, R.R. Mohler, Warren E. Dixon and Jay A. Farrell. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Journal of Guidance Control and Dynamics, SIAM Review and Proceedings of the IEEE.

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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2026