Arvind Singh

813 total citations
36 papers, 513 citations indexed

About

Arvind Singh is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Arvind Singh has authored 36 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 5 papers in Polymers and Plastics. Recurrent topics in Arvind Singh's work include Smart Grid Energy Management (5 papers), Enzyme-mediated dye degradation (4 papers) and Electric Vehicles and Infrastructure (4 papers). Arvind Singh is often cited by papers focused on Smart Grid Energy Management (5 papers), Enzyme-mediated dye degradation (4 papers) and Electric Vehicles and Infrastructure (4 papers). Arvind Singh collaborates with scholars based in India, China and Jordan. Arvind Singh's co-authors include D.C. Kothari, A.U. Ubale, S. B. Jadhao, Rakhi Kumari, Subodh Gupta, Євген Зайцев, S. Ferosekhan, Everson T.S.G. da Silva, Leandro Carneiro Fonseca and Andrei Alaferdov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Arvind Singh

32 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Singh India 14 211 207 92 76 66 36 513
Yuxin Liu China 12 269 1.3× 168 0.8× 53 0.6× 199 2.6× 124 1.9× 48 868
Liuqing Li China 14 232 1.1× 481 2.3× 263 2.9× 265 3.5× 56 0.8× 38 791
Ngoc-Anh Nguyen South Korea 17 184 0.9× 261 1.3× 58 0.6× 322 4.2× 42 0.6× 35 604
Yanwu Chen China 12 116 0.5× 72 0.3× 14 0.2× 40 0.5× 62 0.9× 36 451
Faizah Md Yasin Malaysia 16 429 2.0× 187 0.9× 46 0.5× 64 0.8× 266 4.0× 50 754
Mukul Dubey United States 10 176 0.8× 119 0.6× 101 1.1× 89 1.2× 126 1.9× 26 491
T. Dietrich Germany 13 90 0.4× 152 0.7× 16 0.2× 142 1.9× 200 3.0× 24 608
Manman Zhao China 12 37 0.2× 137 0.7× 22 0.2× 119 1.6× 21 0.3× 17 362
Ju Yeon Lee South Korea 15 138 0.7× 673 3.3× 14 0.2× 259 3.4× 270 4.1× 18 927
Sivashunmugam Sankaranarayanan India 13 145 0.7× 49 0.2× 47 0.5× 63 0.8× 152 2.3× 19 448

Countries citing papers authored by Arvind Singh

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Singh. A scholar is included among the top collaborators of Arvind 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 Arvind Singh. Arvind 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
1.
Kumar, R. Seshu, et al.. (2025). Hybrid machine learning framework for predictive maintenance and anomaly detection in lithium-ion batteries using enhanced random forest. Scientific Reports. 15(1). 6243–6243. 10 indexed citations
2.
Singh, Arvind, et al.. (2025). Air pollution prediction with advanced preprocessing and deep ensemble learning. Atmospheric Pollution Research. 16(10). 102610–102610.
3.
Singh, Arvind, et al.. (2025). A blockchain-enabled multi-agent deep reinforcement learning framework for real-time demand response in renewable energy grids. Energy Strategy Reviews. 62. 101905–101905. 2 indexed citations
4.
Singh, Navneet Kumar, et al.. (2025). Optimal scheduling of solar powered EV charging stations in a radial distribution system using opposition-based competitive swarm optimization. Scientific Reports. 15(1). 4880–4880. 13 indexed citations
5.
6.
Singh, Arvind, Bishwajit Dey, Mohit Bajaj, et al.. (2025). Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency. Scientific Reports. 15(1). 2261–2261. 18 indexed citations
7.
Singh, Arvind, et al.. (2025). “Structural, Optical and AFM based PSD surface roughness studies of cadmium telluride thin films of nanometer thickness range”. Results in Surfaces and Interfaces. 21. 100655–100655.
8.
Singh, Arvind, Rajkumar Singh Rathore, Weiwei Jiang, et al.. (2025). A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management. Scientific Reports. 15(1). 37692–37692.
9.
Singh, Arvind, et al.. (2025). A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems. Scientific Reports. 15(1). 19309–19309. 4 indexed citations
10.
Singh, Arvind, et al.. (2025). Comprehensive techno-economic optimization and performance analysis of molten salt concentrated solar power tower plants in Algeria. Scientific Reports. 15(1). 14456–14456. 2 indexed citations
11.
Singh, Arvind, R. Seshu Kumar, K. Reddy Madhavi, et al.. (2024). Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework. Scientific Reports. 14(1). 31768–31768. 15 indexed citations
12.
Kumar, Saurav, et al.. (2019). Physical entrapment of chitosan in fixed-down-flow column bed enhances triclosan removal from water. Water Science & Technology. 80(7). 1374–1383. 7 indexed citations
13.
Kumar, Rajesh, Everson T.S.G. da Silva, Rajesh Kumar Singh, et al.. (2018). Microwave-assisted synthesis of palladium nanoparticles intercalated nitrogen doped reduced graphene oxide and their electrocatalytic activity for direct-ethanol fuel cells. Journal of Colloid and Interface Science. 515. 160–171. 107 indexed citations
14.
Chang, Ni‐Bin, Martin P. Wanielista, Arvind Singh, Steven J. Duranceau, & Dingbao Wang. (2018). Bio-sorption Activated Media for Nitrogen Removal In a Rapid Infiltration Basin – Monitoring Project. Journal of International Crisis and Risk Communication Research. 3 indexed citations
15.
Kumari, Rakhi, Subodh Gupta, Arvind Singh, et al.. (2013). Chitosan Nanoencapsulated Exogenous Trypsin Biomimics Zymogen-Like Enzyme in Fish Gastrointestinal Tract. PLoS ONE. 8(9). e74743–e74743. 40 indexed citations
16.
17.
Singh, Arvind, et al.. (2012). Isocyanurate based fluorinated polyurethane dispersion for anti-graffiti coatings. Progress in Organic Coatings. 75(3). 139–146. 26 indexed citations
18.
Jagtap, R. N., et al.. (2012). Nano ZnO grafted on MAA/BA/MMA copolymer: An additive for hygienic coating. Progress in Organic Coatings. 74(3). 582–588. 20 indexed citations
19.
20.
Vasudevan, Padma, M Madan, Arvind Singh, & D.L. Klass. (1988). Determining the frequency of coppice for optimum biomass yields from weeds - studies on Adhatoda vasica Nees.. 139–149.

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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