Umashankar Rawat

796 total citations
34 papers, 524 citations indexed

About

Umashankar Rawat is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Umashankar Rawat has authored 34 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Theory and Mathematics and 11 papers in Computer Networks and Communications. Recurrent topics in Umashankar Rawat's work include Chaos-based Image/Signal Encryption (14 papers), Cellular Automata and Applications (13 papers) and DNA and Biological Computing (11 papers). Umashankar Rawat is often cited by papers focused on Chaos-based Image/Signal Encryption (14 papers), Cellular Automata and Applications (13 papers) and DNA and Biological Computing (11 papers). Umashankar Rawat collaborates with scholars based in India, Saudi Arabia and United States. Umashankar Rawat's co-authors include Satyabrata Roy, Dilbag Singh, Manjit Kaur, Kehui Sun, Sanjeet Kumar Nayak, Neeraj Kumar Rathore, Shashwat Malhotra, Prashant Kumar Shukla, Chhagan Lal and Mauro Conti and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Chaos Solitons & Fractals.

In The Last Decade

Umashankar Rawat

29 papers receiving 497 citations

Peers

Umashankar Rawat
Umashankar Rawat
Citations per year, relative to Umashankar Rawat Umashankar Rawat (= 1×) peers Wafa’ Hamdan Alshoura

Countries citing papers authored by Umashankar Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Umashankar Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umashankar Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Umashankar Rawat. A scholar is included among the top collaborators of Umashankar Rawat 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 Umashankar Rawat. Umashankar Rawat 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.
Yadav, Anju, et al.. (2025). A lossless image encryption technique using chaotic map and DNA encoding. Multimedia Tools and Applications. 84(34). 42851–42873.
4.
Panchal, Ashish K., et al.. (2025). Optimizing Grid Equipment Maintenance Through Robust Machine Learning. 194–199. 1 indexed citations
6.
Rawat, Umashankar, et al.. (2024). SORCHIC: A Hybrid Image Cipher for IoT Applications Using Second Order Reversible Cellular Automata. IEEE Access. 12. 146147–146159. 4 indexed citations
7.
Kaur, Manjit, et al.. (2024). DSSCNet: Deep Custom Spatial and Spectral Consistency Layer-Based Dehazing Network. IEEE Access. 12. 44325–44334. 1 indexed citations
8.
Kaur, Manjit, et al.. (2024). DARNet: Deep Attention Module and Residual Block-Based Lung and Colon Cancer Diagnosis Network. IEEE Journal of Biomedical and Health Informatics. PP. 1–8. 2 indexed citations
9.
Roy, Satyabrata, et al.. (2023). SOCIET: Second-order cellular automata and chaotic map-based hybrid image encryption technique. Multimedia Tools and Applications. 83(10). 29455–29484. 10 indexed citations
10.
Rawat, Umashankar, et al.. (2023). An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detection. Applied Computational Intelligence and Soft Computing. 2023. 1–12. 8 indexed citations
11.
Virender, Virender, Lokesh Sharma, Satyabrata Roy, & Umashankar Rawat. (2023). Low-Rate DDoS Attack on SDN Controller and Its Impact. 1–6.
12.
13.
Rawat, Umashankar, et al.. (2022). A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling. Applied Computational Intelligence and Soft Computing. 2022. 1–22. 9 indexed citations
14.
Roy, Satyabrata, et al.. (2021). IESCA: An efficient image encryption scheme using 2-D cellular automata. Journal of Information Security and Applications. 61. 102919–102919. 26 indexed citations
15.
Rathore, Neeraj Kumar, et al.. (2020). Image Forgery Detection Using Singular Value Decomposition with Some Attacks. National Academy Science Letters. 44(4). 331–338. 63 indexed citations
16.
Roy, Satyabrata, et al.. (2020). PCHET: An efficient programmable cellular automata based hybrid encryption technique for multi-chat client-server applications. Journal of Information Security and Applications. 55. 102624–102624. 3 indexed citations
17.
Rawat, Umashankar, et al.. (2019). Securing NEMO Using a Bilinear Pairing-Based 3-Party Key Exchange (3PKE-NEMO) in Heterogeneous Networks. Foundations of Science. 25(4). 1125–1146. 2 indexed citations
18.
Rawat, Umashankar, et al.. (2018). A Bilinear Pairing Based Key Management Security Scheme to NEMO in Heterogeneous Networks. 1–7. 1 indexed citations
19.
Roy, Satyabrata, et al.. (2017). A novel cryptosystem using cellular automata. 1. 1781–1785. 4 indexed citations
20.
Roy, Satyabrata, et al.. (2016). Symmetric Key Encryption Technique: A Cellular Automata based Approach in Wireless Sensor Networks. Procedia Computer Science. 78. 408–414. 15 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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