Mayank Singh

1.5k total citations · 1 hit paper
106 papers, 695 citations indexed

About

Mayank Singh is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mayank Singh has authored 106 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Mayank Singh's work include Software Reliability and Analysis Research (9 papers), Software Testing and Debugging Techniques (8 papers) and Semantic Web and Ontologies (8 papers). Mayank Singh is often cited by papers focused on Software Reliability and Analysis Research (9 papers), Software Testing and Debugging Techniques (8 papers) and Semantic Web and Ontologies (8 papers). Mayank Singh collaborates with scholars based in India, South Africa and Canada. Mayank Singh's co-authors include Vishal Jain, Ramkumar Yadav, Deepika Shekhawat, Soo‐Jin Park, Seul‐Yi Lee, P. K. Gupta, Vipin Tyagi, Viranjay M. Srivastava, Shailendra Mishra and Gaurav Agrawal and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Mayank Singh

86 papers receiving 639 citations

Hit Papers

The role of fillers to enhance the mechanical, thermal, a... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The role of fillers to enhance the mechanical, thermal, and wear characteristics of polymer composite materials: A review
    2023 153 citations Ramkumar Yadav, Mayank Singh et al. Composites Part A Applied Science and Manufacturing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Singh India 15 167 165 95 82 60 106 695
Yuanqiang Liu China 14 121 0.7× 106 0.6× 124 1.3× 40 0.5× 91 1.5× 26 597
Bibhu Dash United States 15 105 0.6× 275 1.7× 170 1.8× 172 2.1× 33 0.6× 54 764
Mukesh Kumar India 16 229 1.4× 122 0.7× 48 0.5× 275 3.4× 100 1.7× 92 1.1k
Malti Bansal India 13 116 0.7× 86 0.5× 123 1.3× 72 0.9× 47 0.8× 54 831
Yan Feng China 15 258 1.5× 126 0.8× 43 0.5× 12 0.1× 65 1.1× 41 574
Ludovic Koehl France 20 113 0.7× 81 0.5× 33 0.3× 317 3.9× 67 1.1× 93 1.0k
Durgaprasad Gangodkar India 13 128 0.8× 144 0.9× 118 1.2× 17 0.2× 126 2.1× 100 582
Zhiyuan Wang China 16 102 0.6× 132 0.8× 44 0.5× 20 0.2× 142 2.4× 88 912
Aseel Hussien United Arab Emirates 17 73 0.4× 128 0.8× 209 2.2× 53 0.6× 98 1.6× 46 954

Countries citing papers authored by Mayank Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Singh. A scholar is included among the top collaborators of Mayank 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 Mayank Singh. Mayank 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.
2.
Singh, Mayank, et al.. (2025). Safety and Trust in Artificial Intelligence with Abstract Interpretation. 8(3-4). 250–408. 1 indexed citations
3.
Jain, Madhu, et al.. (2024). Cost optimization and reliability analysis of fault tolerant system with service interruption and reboot. Reliability Engineering & System Safety. 249. 110229–110229. 4 indexed citations
4.
Singh, Mayank, et al.. (2024). Automatizing step-climbing feature in a wheelchair via digitized movement control for value-sensitive market. IET conference proceedings.. 2024(11). 47–53.
5.
Singh, Mayank, et al.. (2024). Cost analysis of a transient Markovian queueing model with provision of options between regular and working vacation. International Journal of Mathematics in Operational Research. 28(2). 209–229. 1 indexed citations
6.
Singh, Mayank, et al.. (2024). Intelligent Image Compression Model on the Basis of Wavelet Transform and Optimized Fuzzy C-Means-Based Vector Quantisation. Journal of Information & Knowledge Management. 24(3).
7.
8.
Yadav, Ramkumar, Mayank Singh, Deepika Shekhawat, Seul‐Yi Lee, & Soo‐Jin Park. (2023). The role of fillers to enhance the mechanical, thermal, and wear characteristics of polymer composite materials: A review. Composites Part A Applied Science and Manufacturing. 175. 107775–107775. 153 indexed citations breakdown →
9.
Kumar, Sudheer, et al.. (2023). Utilization Pattern of ICT Tools by Paddy Growers in Uttar Pradesh. 59(2). 135–137. 2 indexed citations
10.
11.
Singh, Mayank, et al.. (2023). Design and Simulation of an Improved Structure of Spine for Humanoid. 1–6. 1 indexed citations
12.
Singh, Mayank, et al.. (2023). Development and Validation of a Scale Measuring the Attitude of farmers towards Climate Smart Agriculture. International Journal of Environment and Climate Change. 13(11). 1705–1712. 1 indexed citations
13.
Singh, Mayank & S. Indu. (2023). Denoising of palm leaf manuscripts using Gaussian filter and conservative smoothing. AIP conference proceedings. 2730. 50005–50005. 1 indexed citations
14.
Singh, Mayank, Vipin Tyagi, P. K. Gupta, Jan Flusser, & Tuncer Ören. (2023). Advances in Computing and Data Sciences. Communications in computer and information science. 2 indexed citations
15.
Singh, Mayank, et al.. (2022). An Optimized Approach Using Transfer Learning to Detect Drunk Driving. Scientific Programming. 2022. 1–12. 6 indexed citations
16.
Singh, Mayank, et al.. (2017). Process modification for commercial production of rice kheer.. Indian Journal of Dairy Science. 70(3). 308–316.
17.
Singh, Mayank, et al.. (2016). Prevention against DDOS attack on cloud systems using triple filter: An algorithmic approach. International Conference on Computing for Sustainable Global Development. 560–565. 2 indexed citations
18.
Jain, Vishal & Mayank Singh. (2013). A Framework To Convert Relational Database To Ontology For Knowledge Database In Semantic Web. International journal of scientific and technology research. 2(10). 9–12. 2 indexed citations
19.
Jain, Vishal & Mayank Singh. (2013). IMPLEMENTATION OF MULTI AGENT SYSTEMS WITH ONTOLOGY IN DATA MINING. international journal of research in computer application & management. 3 indexed citations
20.
Singh, Mayank. (2013). An Approach for Information Extraction using JADE: A Case Study. Journal of Global Research in Computer Sciences. 4(4). 186–191. 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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