K. S. Sendhil Kumar

611 total citations
24 papers, 427 citations indexed

About

K. S. Sendhil Kumar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, K. S. Sendhil Kumar has authored 24 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in K. S. Sendhil Kumar's work include Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers) and Blockchain Technology Applications and Security (4 papers). K. S. Sendhil Kumar is often cited by papers focused on Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers) and Blockchain Technology Applications and Security (4 papers). K. S. Sendhil Kumar collaborates with scholars based in India, Malaysia and China. K. S. Sendhil Kumar's co-authors include Subhra Saikat Roy, Sravan Kumar, Nutan Kaushik, Nagendra Kumar Kaushik, N. Jaisankar, M. K. Nallakaruppan, Achyut Shankar, M. S. Anbarasi, Bingjie Wang and Mohammed J. F. Alenazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomass and Bioenergy and Computers & Electrical Engineering.

In The Last Decade

K. S. Sendhil Kumar

23 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. S. Sendhil Kumar India 8 155 135 91 89 73 24 427
Jitendra Kumar Verma India 13 239 1.5× 15 0.1× 37 0.4× 41 0.5× 226 3.1× 62 561
Lalitha Anand India 10 257 1.7× 62 0.5× 42 0.5× 59 0.7× 145 2.0× 33 428
Ioannis Papadopoulos Greece 13 432 2.8× 13 0.1× 15 0.2× 52 0.6× 80 1.1× 26 596
Stepan Ivanov Ireland 12 79 0.5× 97 0.7× 37 0.4× 170 1.9× 19 0.3× 29 394
R. Aruna India 12 363 2.3× 24 0.2× 42 0.5× 87 1.0× 59 0.8× 67 603
Bin Wei China 11 245 1.6× 48 0.4× 8 0.1× 67 0.8× 143 2.0× 25 439
Aifang Zhang China 17 366 2.4× 35 0.3× 10 0.1× 31 0.3× 80 1.1× 36 568
Chul-Su Kim South Korea 11 191 1.2× 24 0.2× 10 0.1× 19 0.2× 140 1.9× 65 656
Yulan Huang China 11 468 3.0× 51 0.4× 29 0.3× 13 0.1× 270 3.7× 45 719

Countries citing papers authored by K. S. Sendhil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Sendhil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Sendhil Kumar. 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 K. S. Sendhil Kumar. The network helps show where K. S. Sendhil Kumar may publish in the future.

Co-authorship network of co-authors of K. S. Sendhil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Sendhil Kumar. A scholar is included among the top collaborators of K. S. Sendhil Kumar 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 K. S. Sendhil Kumar. K. S. Sendhil Kumar 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.
Kumar, K. S. Sendhil, et al.. (2024). An efficient deep learning model for paddy growth stage classification using neural network pruning on UAV images. Engineering Research Express. 6(4). 45252–45252. 2 indexed citations
2.
Kumar, K. S. Sendhil, et al.. (2024). Optimizing User Satisfaction and Streamlining Operations in Online Retail Using CNN Algorithm. 1–7. 1 indexed citations
3.
Wang, Bingjie, Chao Zhang, Arun Kumar Sangaiah, et al.. (2024). Group Consensus-Driven Energy Consumption Assessment Using Social Network Analysis and Fuzzy Information Fusion. International Journal on Semantic Web and Information Systems. 20(1). 1–32. 3 indexed citations
4.
Kumar, K. S. Sendhil, et al.. (2024). Supportive particle swarm optimization with time-conscious scheduling (SPSO-TCS) algorithm in cloud computing for optimized load balancing. SHILAP Revista de lepidopterología. 5. 192–198. 5 indexed citations
5.
Kumar, K. S. Sendhil, et al.. (2023). Tiny Criss-Cross Network for segmenting paddy panicles using aerial images. Computers & Electrical Engineering. 108. 108728–108728. 6 indexed citations
6.
Kumar, K. S. Sendhil, et al.. (2023). Blockchain based Roaming fraud prevention using LSTM model in 4G LTE Network. 222–229. 2 indexed citations
7.
Kumar, K. S. Sendhil, et al.. (2022). Workflow scheduling in cloud environment – Challenges, tools, limitations & methodologies: A review. Measurement Sensors. 24. 100436–100436. 15 indexed citations
8.
Kumar, K. S. Sendhil, et al.. (2022). COVID vision: An integrated face mask detector and social distancing tracker. SHILAP Revista de lepidopterología. 3. 106–113. 6 indexed citations
9.
Kumar, K. S. Sendhil, et al.. (2020). Efficient Predictive Model for Utilization of Computing Resources using Machine Learning Techniques. 351–357. 7 indexed citations
10.
Kumar, K. S. Sendhil & N. Jaisankar. (2020). An automated resource management framework for minimizing SLA violations and negotiation in collaborative cloud. SHILAP Revista de lepidopterología. 1. 27–35. 14 indexed citations
11.
Nallakaruppan, M. K., et al.. (2020). Vegetable Disease Detection Using K-Means Clustering And Svm. 1308–1311. 21 indexed citations
12.
Anbarasi, M. S., et al.. (2020). Disease Prediction using Hybrid Optimization Methods based on Tuning Parameters. 1 indexed citations
13.
Stephan, Thompson, et al.. (2020). Modified fuzzy-based greedy routing protocol for VANETs. Journal of Intelligent & Fuzzy Systems. 39(6). 8357–8364. 4 indexed citations
14.
Kumar, K. S. Sendhil, et al.. (2019). Inviolable Armament Surveillance System Using IoT for Home Safety. SSRN Electronic Journal. 2 indexed citations
15.
Kumar, K. S. Sendhil & N. Jaisankar. (2017). Towards data centre resource scheduling via hybrid cuckoo search algorithm in multi-cloud environment. International Journal of Intelligent Enterprise. 4(1/2). 21–21. 8 indexed citations
16.
Kumar, K. S. Sendhil, et al.. (2015). An Optimal Ant Colony Algorithm for Efficient VM Placement. Indian Journal of Science and Technology. 8(S2). 156–156. 17 indexed citations
17.
18.
Kumar, K. S. Sendhil, et al.. (2013). Resource Management and Scheduling in Cloud Environment. 24 indexed citations
19.
Agarwal, R. K., et al.. (2010). Cloning and sequencing of outer membrane protein C (ompC) gene from Salmonella Typhimurium.. 8(2). 111–115. 1 indexed citations
20.
Kaushik, Nutan, K. S. Sendhil Kumar, Sravan Kumar, Nagendra Kumar Kaushik, & Subhra Saikat Roy. (2007). Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas L.) accessions. Biomass and Bioenergy. 31(7). 497–502. 269 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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2026