Neil K. Dhingra

409 total citations
15 papers, 245 citations indexed

About

Neil K. Dhingra is a scholar working on Computational Mechanics, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Neil K. Dhingra has authored 15 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Computer Networks and Communications and 6 papers in Computational Theory and Mathematics. Recurrent topics in Neil K. Dhingra's work include Sparse and Compressive Sensing Techniques (7 papers), Distributed Control Multi-Agent Systems (5 papers) and Optimization and Variational Analysis (4 papers). Neil K. Dhingra is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Distributed Control Multi-Agent Systems (5 papers) and Optimization and Variational Analysis (4 papers). Neil K. Dhingra collaborates with scholars based in United States and Switzerland. Neil K. Dhingra's co-authors include Mihailo R. Jovanović, Zhi‐Quan Luo, Marcello Colombino, Lin Fu, Makan Fardad, Xiaofan Wu, Roy S. Smith, Dong-Sheng Ding, Bin Hu and Sei Zhen Khong and has published in prestigious journals such as IEEE Transactions on Control of Network Systems, European Journal of Control and IFAC-PapersOnLine.

In The Last Decade

Neil K. Dhingra

14 papers receiving 239 citations

Peers

Neil K. Dhingra
Comparison fields: 5 of 43
  • Control and Systems Engineering 113
  • Computer Networks and Communications 91
  • Computational Mechanics 68
  • Artificial Intelligence 48
  • Computational Theory and Mathematics 45
Replace M. V. Khlebnikov with:
M. V. Khlebnikov Russia
Alain Gauthier Colombia
Franck Iutzeler France
Guo Huang China
Can Tong China
Utku Eren United States
Mariya Ishteva Belgium
W. Kühn Germany
Michael K. Sain United States
Orest Iftime Netherlands
M. V. Khlebnikov Russia View profile →
Citations per field, relative to Neil K. Dhingra
Neil K. Dhingra · 1×
Citations per year, relative to Neil K. Dhingra
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Countries citing papers authored by Neil K. Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by Neil K. Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil K. Dhingra. 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 Neil K. Dhingra. The network helps show where Neil K. Dhingra may publish in the future.

Co-authorship network of co-authors of Neil K. Dhingra

This figure shows the co-authorship network connecting the top 25 collaborators of Neil K. Dhingra. A scholar is included among the top collaborators of Neil K. Dhingra 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 Neil K. Dhingra. Neil K. Dhingra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 12
2
Non-Traditional Data Collection and Exploitation for Improved GEO SSA via a Global Network of Heterogeneous Sensors
1
3 4
4 3
5 23
6 8
7 4
8 60
9 8
10 8
11 4
12 10
13 10
14 79
15 11

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