Ranvijay Singh

497 total citations
42 papers, 266 citations indexed

About

Ranvijay Singh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ranvijay Singh has authored 42 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ranvijay Singh's work include Parallel Computing and Optimization Techniques (7 papers), Topic Modeling (6 papers) and Real-Time Systems Scheduling (6 papers). Ranvijay Singh is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Topic Modeling (6 papers) and Real-Time Systems Scheduling (6 papers). Ranvijay Singh collaborates with scholars based in India, United Kingdom and United States. Ranvijay Singh's co-authors include Rama Shankar Yadav, Ashish Kumar Maurya, K. K. Mishra, Dinesh Singh, Karan Singh, Paul Wood, Ignacio Laguna, Saurabh Bagchi, Shreya Agrawal and Suneeta Agarwal and has published in prestigious journals such as Experimental Dermatology, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

In The Last Decade

Ranvijay Singh

36 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranvijay Singh India 10 113 68 59 46 34 42 266
C. Nalini India 7 104 0.9× 28 0.4× 84 1.4× 47 1.0× 60 1.8× 39 292
Yucheng Li China 8 132 1.2× 58 0.9× 71 1.2× 39 0.8× 81 2.4× 30 256
Jinkyu Koo United States 10 95 0.8× 79 1.2× 112 1.9× 28 0.6× 44 1.3× 15 288
Sahel Alouneh Jordan 11 80 0.7× 191 2.8× 180 3.1× 61 1.3× 96 2.8× 60 421
Mark Shackleton United Kingdom 11 194 1.7× 48 0.7× 118 2.0× 40 0.9× 77 2.3× 20 383
Yi‐Li Huang Taiwan 10 96 0.8× 106 1.6× 181 3.1× 62 1.3× 67 2.0× 34 298
Safia Abbas Egypt 10 113 1.0× 23 0.3× 46 0.8× 60 1.3× 66 1.9× 41 256
Jean‐Frédéric Myoupo France 11 91 0.8× 51 0.8× 176 3.0× 15 0.3× 16 0.5× 47 268
Jingcheng Song China 6 201 1.8× 56 0.8× 87 1.5× 23 0.5× 117 3.4× 8 306
S. Arumugam India 9 83 0.7× 22 0.3× 29 0.5× 136 3.0× 38 1.1× 50 292

Countries citing papers authored by Ranvijay Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ranvijay Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranvijay Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ranvijay Singh. A scholar is included among the top collaborators of Ranvijay 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 Ranvijay Singh. Ranvijay 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, Ranvijay, et al.. (2025). A comprehensive review on step-based skin cancer detection using machine learning and deep learning methods. Archives of Computational Methods in Engineering. 32(7). 4359–4412. 3 indexed citations
2.
Singh, Ranvijay, et al.. (2024). Hybrid of Deep Feature Extraction and Machine Learning Ensembles for Imbalanced Skin Cancer Datasets. Experimental Dermatology. 33(12). e70020–e70020. 2 indexed citations
3.
Singh, Ranvijay, et al.. (2024). AI Techniques in Detection of NTLs: A Comprehensive Review. Archives of Computational Methods in Engineering. 31(8). 4879–4892. 2 indexed citations
4.
Singh, Ranvijay, et al.. (2023). Large text document summarization based on an enhanced fuzzy logic approach. International Journal of Information Technology. 17(7). 4063–4076. 7 indexed citations
5.
Singh, Ranvijay, et al.. (2023). Automatic detection of plant leaf diseases using deep learning. International Journal of Computing and Digital Systems. 13(1). 901–910. 6 indexed citations
6.
Singh, Ranvijay, et al.. (2023). A Novel Hypergraph Clustered Gray Relational Analysis HGPSO Algorithm for Data Aggregation in WSN. Cybernetics and Information Technologies. 23(3). 163–178. 1 indexed citations
7.
Singh, Ranvijay, et al.. (2023). State-of-the-art approach to extractive text summarization: a comprehensive review. Multimedia Tools and Applications. 82(19). 29135–29197. 23 indexed citations
8.
Singh, Ranvijay, et al.. (2023). Multi-operator based improved environmental adaptation method for application in real-world optimization problems. International Journal of Information Technology. 17(8). 4751–4765. 2 indexed citations
9.
Singh, Dinesh, Ranvijay Singh, & Rama Shankar Yadav. (2020). IBMDA: Information based misbehavior detection algorithm for VANET. Journal of High Speed Networks. 26(3). 185–207. 1 indexed citations
10.
Singh, Ranvijay, et al.. (2019). AMPT-GA. 160–170. 30 indexed citations
11.
Singh, Ranvijay, et al.. (2018). Software Cost Estimation Using Environmental Adaptation Method. Procedia Computer Science. 143. 325–332. 14 indexed citations
12.
Agarwal, Suneeta, et al.. (2018). An Efficient Tool for Searching Maximal and Super Maximal Repeats in Large DNA/Protein Sequences via Induced-Enhanced Suffix Array. Recent Patents on Computer Science. 12(2). 128–134. 1 indexed citations
13.
Singh, Dinesh, Ranvijay Singh, & Rama Shankar Yadav. (2018). A state-of-art approach to misbehaviour detection and revocation in VANET: survey. International Journal of Ad Hoc and Ubiquitous Computing. 28(2). 77–77. 10 indexed citations
14.
Singh, Ranvijay, et al.. (2018). Enhanced energy aware scheduling in multicore processors. Journal of Intelligent & Fuzzy Systems. 35(2). 1375–1385. 1 indexed citations
15.
Dwivedi, Vijay Prakash, et al.. (2017). Gender Classification of Blog Authors: With Feature Engineering and Deep Learning using LSTM Networks. abs 1508 1991. 142–148. 3 indexed citations
16.
Singh, Ranvijay, et al.. (2016). Improved real-time energy aware parallel task scheduling in a cluster. International Conference on Computing for Sustainable Global Development. 475–480. 1 indexed citations
17.
Yadav, Rama Shankar, Ranvijay Singh, & Dinesh Singh. (2016). A State-of-Art approach to misbehavior detection and revocation in VANET:Survey. International Journal of Ad Hoc and Ubiquitous Computing. 1(1). 1–1. 5 indexed citations
18.
Agrawal, Shreya, et al.. (2016). Lip reading techniques: A survey. 9 indexed citations
19.
Yadav, Rama Shankar, et al.. (2011). A Three Phase Scheduling for System Energy Minimization of Weakly Hard Real Time Systems. 11(10).
20.
Yadav, Rama Shankar, et al.. (2008). System level energy aware fault tolerance approach for real time system. 1–6. 3 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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