Abhinav Kumar Singh

47 papers receiving 1.9k citations

Hit Papers

Power System Dynamic State Estimation: Motivations, Defin...20192026202120232019100200300400

Peers

Abhinav Kumar Singh
Comparison fields: 5 of 98
  • Electrical and Electronic Engineering 1.5k
  • Control and Systems Engineering 1.1k
  • Artificial Intelligence 261
  • Computer Networks and Communications 159
  • Safety, Risk, Reliability and Quality 111
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Marcos Netto United States
Saverio Bolognani Switzerland
M. Karrari Iran
Ruisheng Diao United States
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Renke Huang United States
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Rui Fan United States
Yuehua Huang China
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Abhinav Kumar Singh relative to Marcos Netto United States Marcos Netto's profile →
Citations per field
00.5×6.9×
Marcos Netto · 1×
Citations per year

Countries citing papers authored by Abhinav Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Kumar Singh. A scholar is included among the top collaborators of Abhinav Kumar Singh 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 Abhinav Kumar Singh. Abhinav Kumar Singh 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
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 19
6 3
7 1
8 4
9 96
10 6
11 147
12
Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Workbreakdown →
488
13 34
14 19
15 29
16 29
17 32
18
Metasploit penetration testing cookbook : over 70 recipes to master the most widely used penetration testing framework
1
19
Fish Biomass Structure at Pristine Coral Reefs and Degradation by Fishing
1
20 18

About Abhinav Kumar Singh

Abhinav Kumar Singh is a scholar working on Control and Systems Engineering, Numerical Analysis and Software, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Power System Optimization and Stability (22 papers), Smart Grid Security and Resilience (8 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Electrical and Electronic Engineering (1.5k citations) and Energy Engineering and Power Technology (66 citations). Abhinav Kumar Singh has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Bikash C. Pal, Lamine Mili, Vladimir Terzija, Junbo Zhao, A. P. Sakis Meliopoulos, Innocent Kamwa, Antonio Gómez‐Expósito, Marcos Netto, Ali Abur and Junjian Qi. Their work appears in journals such as Automatica, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.

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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