B.V. Dasarathy

1.6k citations
62 papers · 1.1k · h-index 11

Impact in

    • Machine Learning and Data Classification
    • Target Tracking and Data Fusion in Sensor Networks
    • Imbalanced Data Classification Techniques
    • Neural Networks and Applications
    • Anomaly Detection Techniques and Applications
    • Face and Expression Recognition

Papers in

B.V. Dasarathy

50 papers receiving 987 citations

Peers

B.V. Dasarathy
Comparison fields: 5 of 120
  • Artificial Intelligence 495
  • Computer Vision and Pattern Recognition 211
  • Signal Processing 79
  • Modeling and Simulation 29
  • Control and Systems Engineering 147
Replace Jørgen Vesterstrøm with:
Jørgen Vesterstrøm Denmark
Ashraf Darwish Egypt
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Mohammed Alswaitti Malaysia
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Shimpi Singh Jadon India
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Citations per field
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Citations per year

Countries citing papers authored by B.V. Dasarathy

Since Specialization
Citations

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

Fields of papers citing papers by B.V. Dasarathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.V. Dasarathy. 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 B.V. Dasarathy. The network helps show where B.V. Dasarathy may publish in the future.

Co-authors

The 7 scholars most cited alongside B.V. Dasarathy, 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 B.V. Dasarathy Line = papers co-authored together B.V. Dasarathy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997324
2 1979210
3 1994130
4 200174
5 200060
6 199145
7 197727
8 196816
9 196815
10 197015
11 196910
12 200510
13 19759
14 20009
15 20059
16 19688
17 19688
18 19756
19 19686
20 20026

About B.V. Dasarathy

B.V. Dasarathy is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Numerical Analysis and Statistical and Nonlinear Physics, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (7 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Fault Detection and Control Systems (6 papers), Elasticity and Wave Propagation (6 papers), Machine Learning and Algorithms (5 papers), Numerical methods for differential equations (4 papers), Vibration and Dynamic Analysis (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (495 citations), Computer Vision and Pattern Recognition (211 citations), Signal Processing (79 citations), Modeling and Simulation (29 citations) and Control and Systems Engineering (147 citations). B.V. Dasarathy has collaborated with scholars based in India, United States and Spain. Frequent co-authors include B. V. Sheela, P. Srinivasan, J. Salvador Sánchez, Steven D. Townsend, Lee White, Basabdatta Sen Bhattacharya and Steve Furber. Their work appears in journals such as Journal of Sound and Vibration, International Journal of Control, Proceedings of the IEEE, Electronics Letters and Information Fusion.

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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