Vivek Agarwal

1.3k total citations
72 papers, 760 citations indexed

About

Vivek Agarwal is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Vivek Agarwal has authored 72 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Vivek Agarwal's work include Fault Detection and Control Systems (12 papers), Risk and Safety Analysis (11 papers) and Ultrasonics and Acoustic Wave Propagation (6 papers). Vivek Agarwal is often cited by papers focused on Fault Detection and Control Systems (12 papers), Risk and Safety Analysis (11 papers) and Ultrasonics and Acoustic Wave Propagation (6 papers). Vivek Agarwal collaborates with scholars based in United States, India and British Virgin Islands. Vivek Agarwal's co-authors include Lefteri H. Tsoukalas, Raymond A. DeCarlo, Kasemsak Uthaichana, Andrei Gribok, Mongi A. Abidi, Andreas Koschan, Besma Abidi, M.A. Abidi, Miltiadis Alamaniotis and Vaibhav Yadav and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and Neural Networks.

In The Last Decade

Vivek Agarwal

67 papers receiving 700 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vivek Agarwal United States 13 203 142 132 123 109 72 760
Karl Reichard United States 16 222 1.1× 189 1.3× 257 1.9× 46 0.4× 81 0.7× 104 878
Ye Chow Kuang Malaysia 18 191 0.9× 140 1.0× 95 0.7× 81 0.7× 51 0.5× 104 893
Lunchakorn Wuttisittikulkij Thailand 17 570 2.8× 107 0.8× 52 0.4× 108 0.9× 33 0.3× 144 1.0k
Harpreet Singh United States 13 114 0.6× 114 0.8× 156 1.2× 217 1.8× 17 0.2× 89 775
Hui Tian China 17 380 1.9× 93 0.7× 111 0.8× 251 2.0× 51 0.5× 164 1.2k
Antonio Virdis Italy 19 687 3.4× 76 0.5× 126 1.0× 113 0.9× 95 0.9× 82 1.4k
Yingchao Zhang China 16 180 0.9× 63 0.4× 103 0.8× 124 1.0× 24 0.2× 72 825
Ming Luo Singapore 14 248 1.2× 70 0.5× 418 3.2× 263 2.1× 40 0.4× 68 995
Chenguang Cai China 12 145 0.7× 162 1.1× 71 0.5× 114 0.9× 10 0.1× 52 663

Countries citing papers authored by Vivek Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivek Agarwal. 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 Vivek Agarwal. The network helps show where Vivek Agarwal may publish in the future.

Co-authorship network of co-authors of Vivek Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Agarwal. A scholar is included among the top collaborators of Vivek Agarwal 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 Vivek Agarwal. Vivek Agarwal 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
1.
Lin, Linyu, et al.. (2025). Explainable machine-learning tools for predictive maintenance of circulating water systems in nuclear power plants. Nuclear Engineering and Technology. 57(9). 103588–103588. 2 indexed citations
2.
3.
Agarwal, Vivek, et al.. (2024). Barriers to adopting artificial intelligence and machine learning technologies in nuclear power. Progress in Nuclear Energy. 175. 105295–105295. 10 indexed citations
4.
Coble, Jamie, et al.. (2024). The role of AI in detecting and mitigating human errors in safety-critical industries: A review. Reliability Engineering & System Safety. 256. 110682–110682. 10 indexed citations
5.
Coble, Jamie, et al.. (2024). SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors. Nuclear Technology. 210(12). 2299–2311. 2 indexed citations
6.
Agarwal, Vivek, et al.. (2023). Nuclear-Driven Integrated Energy Systems: A State-of-the-Art Review. Energies. 16(11). 4293–4293. 19 indexed citations
7.
Agarwal, Vivek, et al.. (2023). Automation levels for nuclear reactor operations: A revised perspective. Progress in Nuclear Energy. 157. 104559–104559. 5 indexed citations
8.
Mandelli, Diego, et al.. (2023). Reliability modeling in a predictive maintenance context: A margin-based approach. Reliability Engineering & System Safety. 243. 109861–109861. 9 indexed citations
9.
Coble, Jamie, et al.. (2023). SPIDAR: System-Level Physics-Informed Detection of Anomalies in Reactors. 1124–1133. 2 indexed citations
10.
Agarwal, Vivek, et al.. (2023). Development of a Scalable, Risk-Informed, Predictive Maintenance Cloud Based Strategy at Nuclear Power Plants. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 942–952. 2 indexed citations
11.
Agarwal, Vivek, et al.. (2023). Diabetes Prediction using Machine Learning. 406–410. 1 indexed citations
12.
Khojandi, Anahita, et al.. (2022). Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance. Nuclear Engineering and Technology. 55(2). 603–622. 30 indexed citations
13.
Karve, Pranav, et al.. (2022). Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning. Structural Health Monitoring. 21(5). 1973–1991. 12 indexed citations
14.
Agarwal, Vivek, et al.. (2022). Multi-Band Heterogeneous Wireless Network Architecture for Industrial Automation: A Techno-Economic Analysis. Wireless Personal Communications. 123(4). 3555–3573. 3 indexed citations
15.
Agarwal, Vivek, et al.. (2022). Total Unwrapped Phase-Based Diagnosis of Wall Thinning in Nuclear Power Plants Secondary Piping Structures. IEEE Access. 10. 113726–113740. 5 indexed citations
16.
Coble, Jamie, et al.. (2022). Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review. Nuclear Technology. 209(3). 276–294. 28 indexed citations
17.
Agarwal, Vivek. (2022). Integrated Risk-Informed Condition Based Maintenance Capability and Automated Platform: Technical Report 3. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
18.
Agarwal, Vivek, et al.. (2018). Automated Work Packages: Capabilities of the Future. Nuclear Technology. 202(2-3). 201–209. 3 indexed citations
19.
Agarwal, Vivek, et al.. (2013). Online Monitoring of Plant Assets in the Nuclear Industry. Annual Conference of the PHM Society. 5(1). 3 indexed citations
20.
Agarwal, Vivek, Andrei Gribok, & Mongi A. Abidi. (2007). Machine learning approach to color constancy. Neural Networks. 20(5). 559–563. 33 indexed citations

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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