M.G. Singh

2.7k citations
79 papers · 1.7k indexed · h-index 18

M.G. Singh

74 papers receiving 1.6k citations

Peers

M.G. Singh
Comparison fields: 5 of 92
  • Statistics and Probability 320
  • Control and Systems Engineering 821
  • Artificial Intelligence 791
  • Numerical Analysis 106
  • Computational Theory and Mathematics 196
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Y.H. Ku United States
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Citations per year

Countries citing papers authored by M.G. Singh

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Singh. 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 M.G. Singh. The network helps show where M.G. Singh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20022
4 199623
5 199614
6 1996166
7 199410
8 1994325
9
Decision support systems and qualitative reasoning : proceedings of the IMACS International Workshop on Decision Support Systems and Qualitative Reasoning, Toulouse, France, 13-15 March 1991
19918
10 19858
11 198512
12 19831
13 19828
14
Large scale systems theory and applications : proceedings of the IFAC Symposium, Toulouse, France, 24-26 June 1980
19811
15
Applied Industrial Control--an Introduction
19805
16 19801
17 19804
18 19793
19 19780
20 197640

About M.G. Singh

M.G. Singh is a scholar working on Control and Systems Engineering, Statistics and Probability, Numerical Analysis, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Fuzzy Logic and Control Systems (14 papers), Advanced Control Systems Optimization (14 papers), Fuzzy Systems and Optimization (11 papers), Stability and Control of Uncertain Systems (10 papers), Fault Detection and Control Systems (7 papers), Control Systems and Identification (6 papers) and Real-time simulation and control systems (4 papers). The work is most often cited by research in Statistics and Probability (320 citations), Control and Systems Engineering (821 citations), Artificial Intelligence (791 citations), Numerical Analysis (106 citations) and Computational Theory and Mathematics (196 citations). M.G. Singh has collaborated with scholars based in United Kingdom, Egypt and France. Frequent co-authors include Xiao‐Jun Zeng, Α. Τitli, Magdi S. Mahmoud, Mohamed F. Hassan, Hiroyuki Tamura, Stephen Drew, Kehar Singh, Spyros G. Tzafestaş, G. Schmidt and Yuliu Chen. Their work appears in journals such as Automatica, International Journal of Systems Science, IEEE Transactions on Fuzzy Systems, International Journal of Control and Computers & Electrical Engineering.

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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