Lalit Kumar Singh

1.1k total citations
80 papers, 737 citations indexed

About

Lalit Kumar Singh is a scholar working on Software, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Lalit Kumar Singh has authored 80 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Software, 40 papers in Statistics, Probability and Uncertainty and 31 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Lalit Kumar Singh's work include Software Reliability and Analysis Research (48 papers), Risk and Safety Analysis (40 papers) and Reliability and Maintenance Optimization (22 papers). Lalit Kumar Singh is often cited by papers focused on Software Reliability and Analysis Research (48 papers), Risk and Safety Analysis (40 papers) and Reliability and Maintenance Optimization (22 papers). Lalit Kumar Singh collaborates with scholars based in India, South Korea and Denmark. Lalit Kumar Singh's co-authors include Pooja Singh, Anil Kumar Tripathi, Gopika Vinod, Chiranjeev Kumar, Vinay Kumar, Amit Kumar Tripathi, Babita Pandey, Suneet Singh, Amrita Chaturvedi and Ashish Kumar Maurya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Lalit Kumar Singh

73 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalit Kumar Singh India 16 413 356 299 214 121 80 737
R. Bell United Kingdom 5 412 1.0× 397 1.1× 488 1.6× 164 0.8× 103 0.9× 15 1.0k
Hichem Boudali Netherlands 8 473 1.1× 410 1.2× 321 1.1× 134 0.6× 86 0.7× 15 788
Salvatore J. Bavuso United States 7 350 0.8× 501 1.4× 314 1.1× 126 0.6× 137 1.1× 23 818
H.A. Thompson United Kingdom 13 131 0.3× 89 0.3× 140 0.5× 191 0.9× 95 0.8× 58 543
Qingpei Hu China 15 150 0.4× 539 1.5× 535 1.8× 106 0.5× 58 0.5× 52 837
Yindong Ji China 12 75 0.2× 36 0.1× 85 0.3× 263 1.2× 41 0.3× 57 491
Takehisa Kohda Japan 10 120 0.3× 87 0.2× 106 0.4× 99 0.5× 18 0.1× 55 332
Neeraj Kumar Goyal India 15 53 0.1× 199 0.6× 119 0.4× 34 0.2× 258 2.1× 69 622
Emília Villani Brazil 12 45 0.1× 61 0.2× 49 0.2× 139 0.6× 36 0.3× 74 515
Zhichao Feng China 14 85 0.2× 25 0.1× 68 0.2× 261 1.2× 111 0.9× 59 691

Countries citing papers authored by Lalit Kumar Singh

Since Specialization
Citations

This map shows the geographic impact of Lalit 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 Lalit 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 Lalit Kumar Singh more than expected).

Fields of papers citing papers by Lalit Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Kumar Singh. A scholar is included among the top collaborators of Lalit 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 Lalit Kumar Singh. Lalit 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
1.
Singh, Lalit Kumar, et al.. (2025). Carbon-coated bismuth–zinc oxide heterojunction microspheres as anode materials for lithium-ion batteries. Journal of Energy Storage. 128. 117039–117039. 2 indexed citations
2.
Shadangi, Yagnesh, et al.. (2025). Dual-phase Fe40Mn20Cr15Ti10Al10Ni5 high-entropy alloy prepared by mechanical alloying and spark plasma sintering: Alloying behavior, thermal stability, and mechanical properties. Journal of materials research/Pratt's guide to venture capital sources. 40(1). 123–139. 7 indexed citations
3.
Singh, Lalit Kumar, et al.. (2025). Fault Detection of Neutron Flux Sensors for Instrumentation and Control Systems of Nuclear Power Plants. IEEE Transactions on Instrumentation and Measurement. 74. 1–9.
4.
Singh, Lalit Kumar, et al.. (2025). Unlocking the potential of sodium-ion batteries: Synthesizing sodium iron silicate cathodes using aliphatic diols. Chemical Engineering Journal. 521. 166689–166689.
5.
Singh, Lalit Kumar, et al.. (2025). Carbon quantum dots as a promising tool for heavy metal sensing and removal in wastewater. Desalination and Water Treatment. 324. 101435–101435. 1 indexed citations
6.
Singh, Lalit Kumar, et al.. (2024). Security Management for Industrial Safety Critical Applications. 1 indexed citations
7.
Singh, Lalit Kumar, et al.. (2024). Pharmaceutical Product Development.
8.
9.
Singh, Pooja & Lalit Kumar Singh. (2023). Security measurement of instrumentation systems: A case study of NPP. Progress in Nuclear Energy. 165. 104906–104906. 1 indexed citations
10.
Singh, Lalit Kumar, et al.. (2023). Reliability Assessment of Safety-Critical Systems of Nuclear Power Plant using Ordinary Differential Equations and Reachability Graph. Nuclear Engineering and Design. 412. 112469–112469. 4 indexed citations
11.
Singh, Lalit Kumar, et al.. (2023). Batch Deterministic and Stochastic Petri nets Modeling for Reliability Quantification for Safety Critical Systems of Nuclear Power Plants. Nuclear Engineering and Design. 404. 112191–112191. 6 indexed citations
12.
Tripathi, Anil Kumar, et al.. (2022). An integrated approach of designing functionality with security for distributed cyber-physical systems. The Journal of Supercomputing. 78(13). 14813–14845. 2 indexed citations
13.
Kumar, Vinay, et al.. (2020). Reliability and performance analysis of safety-critical system using transformation of UML into state space models. Annals of Nuclear Energy. 146. 107628–107628. 8 indexed citations
14.
Sharma, Vijay, et al.. (2019). Process variable studies for preparation of optimized system for bupropion hydrochloride using CCD. Journal of Drug Delivery and Therapeutics. 9(2-s). 281–290. 1 indexed citations
15.
Kumar, Vinay, et al.. (2018). Parameter Estimation for Quantitative Dependability Analysis of Safety-Critical and Control Systems of NPP. IEEE Transactions on Nuclear Science. 65(5). 1080–1090. 24 indexed citations
16.
Kumar, Vinay, Lalit Kumar Singh, & Anil Kumar Tripathi. (2017). Reliability analysis of safety‐critical and control systems: a state‐of‐the‐art review. IET Software. 12(1). 1–18. 18 indexed citations
17.
Kumar, Vinay, Lalit Kumar Singh, & Anil Kumar Tripathi. (2017). Transformation of deterministic models into state space models for safety analysis of safety critical systems: A case study of NPP. Annals of Nuclear Energy. 105. 133–143. 13 indexed citations
18.
Singh, Lalit Kumar, Gopika Vinod, & Anil Kumar Tripathi. (2015). Approach for parameter estimation in Markov model of software reliability for early prediction: a case study. IET Software. 9(3). 65–75. 18 indexed citations
19.
Singh, Lalit Kumar, Anil Kumar Tripathi, & Gopika Vinod. (2011). Software Reliability Early Prediction in Architectural Design Phase: Overview and Limitations. Journal of Software Engineering and Applications. 4(3). 181–186. 13 indexed citations
20.
Singh, Lalit Kumar, et al.. (2011). Improvement of Software Quality Attributes in Object Oriented Analysis and Design Phase Using Goal-Question-Metric Paradigm. Journal of Software Engineering and Applications. 4(6). 345–349. 2 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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