Sanjay Kumar Singh

3.5k total citations · 1 hit paper
134 papers, 2.3k citations indexed

About

Sanjay Kumar Singh is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Sanjay Kumar Singh has authored 134 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Statistics and Probability, 36 papers in Artificial Intelligence and 36 papers in Statistics, Probability and Uncertainty. Recurrent topics in Sanjay Kumar Singh's work include Statistical Distribution Estimation and Applications (56 papers), Probabilistic and Robust Engineering Design (35 papers) and Statistical Methods and Bayesian Inference (19 papers). Sanjay Kumar Singh is often cited by papers focused on Statistical Distribution Estimation and Applications (56 papers), Probabilistic and Robust Engineering Design (35 papers) and Statistical Methods and Bayesian Inference (19 papers). Sanjay Kumar Singh collaborates with scholars based in India, Saudi Arabia and Finland. Sanjay Kumar Singh's co-authors include Umesh Singh, Vikas Kumar Sharma, Sumeet Saurav, Ravi Saini, Aditya Khamparia, V. S. Chouhan, Prayag Tiwari, Robertas Damaševičius, Victor Hugo C. de Albuquerque and Deepak Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sanjay Kumar Singh

118 papers receiving 2.2k citations

Hit Papers

A Novel Transfer Learning Based Approach for Pneumonia De... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Kumar Singh India 26 807 692 556 495 429 134 2.3k
Ryan F. Johnson United States 15 174 0.2× 642 0.9× 132 0.2× 39 0.1× 205 0.5× 62 2.2k
Dino Sejdinović United Kingdom 19 313 0.4× 903 1.3× 75 0.1× 45 0.1× 464 1.1× 68 2.7k
Ali Mohammad‐Djafari France 24 154 0.2× 323 0.5× 79 0.1× 231 0.5× 327 0.8× 196 1.8k
Clayton Scott United States 30 206 0.3× 907 1.3× 50 0.1× 122 0.2× 338 0.8× 111 2.4k
Markus Svensén United Kingdom 12 78 0.1× 756 1.1× 70 0.1× 75 0.2× 527 1.2× 16 2.1k
Claude Nadeau Canada 7 432 0.5× 439 0.6× 53 0.1× 56 0.1× 125 0.3× 9 1.3k
George R. Terrell United States 13 631 0.8× 503 0.7× 141 0.3× 27 0.1× 184 0.4× 26 1.5k
Richard A. Redner United States 14 582 0.7× 1.1k 1.7× 85 0.2× 53 0.1× 599 1.4× 25 2.4k
P.M.T. Broersen Netherlands 23 106 0.1× 374 0.5× 90 0.2× 25 0.1× 182 0.4× 123 1.8k
Ning Hao China 18 277 0.3× 384 0.6× 46 0.1× 260 0.5× 960 2.2× 93 2.9k

Countries citing papers authored by Sanjay Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Singh. A scholar is included among the top collaborators of Sanjay 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 Sanjay Kumar Singh. Sanjay 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.
Budukh, Atul, Deepak Gupta, Ravi Kant Singh, et al.. (2025). Cancer burden, its pattern and survival in Muzaffarpur: findings from first population-based cancer registry of Bihar state, India. ecancermedicalscience. 19. 1972–1972.
2.
Saurav, Sumeet, et al.. (2024). Attention-guided generator with dual discriminator GAN for real-time video anomaly detection. Engineering Applications of Artificial Intelligence. 131. 107830–107830. 23 indexed citations
4.
Saurav, Sumeet, et al.. (2023). JS-SpoofNet: A jointly supervised parallel branched neural network for spoof detection. Neurocomputing. 554. 126610–126610. 1 indexed citations
5.
Singh, Sanjay Kumar, et al.. (2023). An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. Biomedical Signal Processing and Control. 84. 104798–104798. 12 indexed citations
6.
Singh, Sanjay Kumar, Amit Sinha, Harikesh Bahadur Singh, et al.. (2023). A novel deep learning-based technique for detecting prostate cancer in MRI images. Multimedia Tools and Applications. 83(5). 14173–14187. 17 indexed citations
7.
Singh, Sanjay Kumar, et al.. (2021). Comparative Study of New and Traditional Estimators of a New Lifetime Model. Human Biology. 19(1). 2–32. 1 indexed citations
8.
Singh, Sanjay Kumar, et al.. (2021). A New Right-Skewed Upside Down Bathtub Shaped Heavy-tailed Distribution and its Applications. Human Biology. 19(1). 2 indexed citations
9.
Singh, Sanjay Kumar, Umesh Singh, & Manoj Kumar. (2021). Estimation for the Parameter of Poisson-Exponential Distribution under Bayesian Paradigm. Journal of Data Science. 12(1). 157–173.
10.
Kumar, Dinesh, et al.. (2018). One Parameter Decreasing Failure Rate Distribution. 19(1). 120–138. 5 indexed citations
11.
Singh, Sanjay Kumar, et al.. (2017). A new class of exponential transformed Lindley distribution and its Application to Yarn Data. 18(2). 135–151. 8 indexed citations
12.
Sharma, Vikas Kumar, et al.. (2015). The inverse Lindley distribution: a stress-strength reliability model with application to head and neck cancer data. Journal of Industrial and Production Engineering. 32(3). 162–173. 143 indexed citations
13.
Kumar, Dinesh, et al.. (2015). Bayesian Estimation of Exponentiated Gamma Parameter for Progressive Type II Censored Data With Binomial Removals. Journal of Statistics Applications & Probability. 4(2). 265–273. 2 indexed citations
14.
Singh, Sanjay Kumar, Umesh Singh, & Vikas Kumar Sharma. (2014). Bayesian estimation and prediction for the generalized Lindley distribution under asymmetric loss function. DergiPark (Istanbul University). 13 indexed citations
15.
Singh, Sanjay Kumar, Umesh Singh, & Dinesh Kumar. (2014). Bayesian Estimation of the Parameters of Generalized Inverted Exponential Distribution. 13(1). 57–69. 2 indexed citations
16.
Hari, P., et al.. (2014). Correlation of radon anomalies with seismic events along Mat fault in Serchhip District, Mizoram, India. Applied Radiation and Isotopes. 86. 79–84. 32 indexed citations
17.
Singh, Sanjay Kumar, Umesh Singh, & Manoj Kumar. (2013). Estimation of Parameters of Exponentiated Pareto Model for Progressive Type-II Censored Data with Binomial Removals Using Markov Chain Monte Carlo Method. 21(4). 88–102. 2 indexed citations
18.
Singh, Sanjay Kumar, Umesh Singh, & Dinesh Kumar. (2012). Bayes estimators of the reliability function and parameter of inverted exponential distribution using informative and non-informative priors. Journal of Statistical Computation and Simulation. 83(12). 2258–2269. 43 indexed citations
19.
Singh, Sanjay Kumar, et al.. (2009). BAYES ESTIMATOR OF GENERALIZEDEXPONENTIAL PARAMETERS UNDER GENERAL ENTROPYOSS FUNCTION USING LINDLEY’S APPROXIMATION. Statistics in Transition New Series. 10(1). 109–127. 1 indexed citations
20.
Singh, Sanjay Kumar. (1988). Regulation of urea-uptake in the cyanobacterium Anabaena doliolum. FEMS Microbiology Letters. 56(3). 281–283. 1 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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