Saurabh Singh

559 total citations · 1 hit paper
16 papers, 397 citations indexed

About

Saurabh Singh is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Saurabh Singh has authored 16 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Saurabh Singh's work include Terrorism, Counterterrorism, and Political Violence (4 papers), Complex Network Analysis Techniques (4 papers) and Biocrusts and Microbial Ecology (2 papers). Saurabh Singh is often cited by papers focused on Terrorism, Counterterrorism, and Political Violence (4 papers), Complex Network Analysis Techniques (4 papers) and Biocrusts and Microbial Ecology (2 papers). Saurabh Singh collaborates with scholars based in India and United States. Saurabh Singh's co-authors include Akhilesh Tiwari, Yadunath Pathak, Prashant Kumar Shukla, Piyush Kumar Shukla, Sangeeta Negi, H. N. Singh, Shashi Kant Verma, Abhishek Bhatia, Prakash S. Bisen and H. N. Singh and has published in prestigious journals such as New Phytologist, Journal of Business Research and Plant and Soil.

In The Last Decade

Saurabh Singh

13 papers receiving 379 citations

Hit Papers

Deep Transfer Learning Based Classification Model for COV... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saurabh Singh India 5 256 197 51 50 33 16 397
Sachin Kumar India 7 190 0.7× 169 0.9× 14 0.3× 30 0.6× 14 0.4× 23 331
Xiaoying Liu China 12 15 0.1× 211 1.1× 5 0.1× 35 0.7× 8 0.2× 33 435
Shengyu Liu China 9 26 0.1× 217 1.1× 17 0.3× 12 0.2× 8 0.2× 20 462
Neha Sharma India 10 34 0.1× 112 0.6× 6 0.1× 18 0.4× 8 0.2× 38 274
Ashok Kumar Dwivedi India 6 71 0.3× 209 1.1× 7 0.1× 28 0.6× 14 0.4× 14 452
Ahmed Abdelmonem Hemedan Luxembourg 8 49 0.2× 54 0.3× 5 0.1× 42 0.8× 5 0.2× 15 232
Valerio Maggio Italy 12 41 0.2× 140 0.7× 10 0.2× 21 0.4× 16 0.5× 19 361
Lalith Polepeddi United States 8 32 0.1× 69 0.4× 6 0.1× 10 0.2× 9 0.3× 10 207
J. Avanija India 7 70 0.3× 111 0.6× 2 0.0× 55 1.1× 15 0.5× 27 235

Countries citing papers authored by Saurabh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Singh. A scholar is included among the top collaborators of Saurabh 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 Saurabh Singh. Saurabh Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Singh, Saurabh, et al.. (2023). Managerial responses to online communication: The role of mimicry in affecting third-party observers’ purchase intentions. Journal of Business Research. 166. 113979–113979. 8 indexed citations
3.
Singh, Saurabh, et al.. (2020). Heterogeneous Cross Project Defect Prediction in Software. SSRN Electronic Journal. 1 indexed citations
4.
Pathak, Yadunath, et al.. (2020). Deep Transfer Learning Based Classification Model for COVID-19 Disease. IRBM. 43(2). 87–92. 329 indexed citations breakdown →
5.
Singh, Saurabh, Shashi Kant Verma, & Akhilesh Tiwari. (2020). A novel approach for finding crucial node using ELECTRE method. International Journal of Modern Physics B. 34(9). 2050076–2050076. 4 indexed citations
6.
Singh, Saurabh, Shashi Kant Verma, & Akhilesh Tiwari. (2020). A novel method for destabilization of terrorist network. Modern Physics Letters B. 34(27). 2050298–2050298. 4 indexed citations
7.
Kumar, Mohit, et al.. (2018). Optimization of Some Standard Functions using Artificial Algae Algorithm. 4(15). 1 indexed citations
9.
Singh, Saurabh, et al.. (2018). An innovative approach for identification of pivotal node in terrorist network using promethee method (an anti-terrorism approach). International Journal of Engineering & Technology. 7(1). 95–95. 1 indexed citations
10.
11.
Singh, Amandeep, et al.. (2015). Disk scheduling using a customized discrete firefly algorithm. Cogent Engineering. 2(1). 1011929–1011929. 4 indexed citations
12.
Singh, Saurabh, et al.. (2014). Rakhya's method: A case based approach to solve n-queens problem. 1–8. 1 indexed citations
13.
Singh, Saurabh, et al.. (2007). Outdoor evaluation of herbicide resistant strains of Anabaena variabilis as biofertilizer for rice plants. Plant and Soil. 296(1-2). 95–102. 22 indexed citations
14.
Singh, Saurabh, et al.. (1999). Immobilization caused physiological and biochemical changes in NaCI-resistant (NaCl r ) mutant strain of diazotrophic cyanobacterium Anabaena variabilis. Indian Journal of Experimental Biology. 37(7). 696–700. 3 indexed citations
16.
Singh, Saurabh, et al.. (1994). Common nitrogen control of caesium uptake, caesium toxicity and ammonium (methylammonium) uptake in the cyanobacterium Nostoc muscorum. FEMS Microbiology Letters. 117(3). 243–247. 14 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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