R. Sivakumar

5.0k total citations · 2 hit papers
153 papers, 3.4k citations indexed

About

R. Sivakumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Sivakumar has authored 153 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 34 papers in Electrical and Electronic Engineering and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Sivakumar's work include Wireless Networks and Protocols (19 papers), Mobile Ad Hoc Networks (18 papers) and Network Traffic and Congestion Control (13 papers). R. Sivakumar is often cited by papers focused on Wireless Networks and Protocols (19 papers), Mobile Ad Hoc Networks (18 papers) and Network Traffic and Congestion Control (13 papers). R. Sivakumar collaborates with scholars based in India, United States and Malaysia. R. Sivakumar's co-authors include V. Bharghavan, P. Sinha, R. R. Rao, Hung‐Yun Hsieh, Bevan Das, Karthikeyan Sundaresan, Mary Ann Ingram, Dimiter Velev, M. Mohamed Ibrahim and Madhusudan B. Kulkarni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

R. Sivakumar

138 papers receiving 3.1k citations

Hit Papers

CEDAR: a core-extraction distributed ad hoc routing algor... 1999 2026 2008 2017 1999 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Sivakumar India 23 2.2k 982 443 356 198 153 3.4k
Yuan Zhou China 26 387 0.2× 386 0.4× 104 0.2× 41 0.1× 267 1.3× 141 2.1k
Kai Ren China 22 579 0.3× 150 0.2× 22 0.0× 99 0.3× 287 1.4× 92 2.0k
Yimin Liu China 25 226 0.1× 1.3k 1.3× 132 0.3× 46 0.1× 535 2.7× 179 3.4k
Mandeep Singh Jit Singh Malaysia 28 272 0.1× 1.5k 1.5× 37 0.1× 65 0.2× 490 2.5× 251 2.9k
David G. Michelson Canada 21 545 0.3× 1.7k 1.7× 12 0.0× 31 0.1× 133 0.7× 118 2.3k
Kenji Sugimoto Japan 19 83 0.0× 320 0.3× 40 0.1× 107 0.3× 170 0.9× 222 1.7k
Jeong-Ho Park South Korea 25 452 0.2× 3.7k 3.8× 13 0.0× 64 0.2× 376 1.9× 183 4.5k
Xinxin Liu China 18 307 0.1× 145 0.1× 12 0.0× 41 0.1× 91 0.5× 123 1.2k
Weiwei Song China 20 140 0.1× 231 0.2× 21 0.0× 53 0.1× 96 0.5× 115 1.7k
Qiuping Jiang China 34 167 0.1× 261 0.3× 136 0.3× 42 0.1× 291 1.5× 211 4.4k

Countries citing papers authored by R. Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by R. Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sivakumar

This figure shows the co-authorship network connecting the top 25 collaborators of R. Sivakumar. A scholar is included among the top collaborators of R. Sivakumar 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 R. Sivakumar. R. Sivakumar 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.
Sivakumar, R., et al.. (2024). A hyperdimensional framework: Unveiling the interplay of RBP and GSN within CNNs for ultra-precise brain tumor classification. Biomedical Signal Processing and Control. 96. 106565–106565. 11 indexed citations
2.
Sivakumar, R., et al.. (2024). A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach. THE SCIENTIFIC TEMPER. 15(3). 2912–2919.
3.
Sivakumar, R., et al.. (2024). Review of Data Bias in Healthcare Applications. International Journal of Online and Biomedical Engineering (iJOE). 20(12). 124–136. 3 indexed citations
4.
Singh, Abhishek, et al.. (2024). Classification of Colorectal Cancer using ResNet and EfficientNet Models. The Open Biomedical Engineering Journal. 18(1). 6 indexed citations
5.
Sivakumar, R., et al.. (2024). Applications of Advanced Computing Solutions for Healthcare Systems – Part 3. The Open Biomedical Engineering Journal. 18(1). 1 indexed citations
6.
Kulkarni, Madhusudan B., R. Sivakumar, Beatriz Prieto‐Simón, & Brian W. Pogue. (2024). Recent advances in smart wearable sensors for continuous human health monitoring. Talanta. 272. 125817–125817. 95 indexed citations breakdown →
7.
Jaya, J., et al.. (2024). An efficient breast cancer classification model using bilateral filtering and fuzzy convolutional neural network. Scientific Reports. 14(1). 6290–6290. 6 indexed citations
8.
Sivakumar, R., et al.. (2024). Solar thermal cooking device for domestic cooking applications: Bridging sustainable development goals and innovation. Heliyon. 10(19). e38415–e38415. 1 indexed citations
9.
Jaya, J., et al.. (2023). A modified recurrent neural network (MRNN) model for and breast cancer classification system. Automatika. 64(4). 1193–1203. 3 indexed citations
10.
Sivakumar, R., et al.. (2022). Design of a Low-Cost IoT-Based Smart-Watch to Aid Alzheimer’s Patients and Caretakers. ECS Transactions. 107(1). 1101–1110.
11.
Sivakumar, R., et al.. (2021). Implementation of an Intelligent Neonatal Monitoring System using Rasperry PI. 1(1).
12.
Sivakumar, R., et al.. (2021). Convolution Neural Network Based Bone Cancer Detection. 1(1). 1 indexed citations
13.
Sivakumar, R., et al.. (2021). Emphasis on Evaluative Prerequisites for Decisive Software-in-the-Loop (SiL) Environments. International Conference on Computing for Sustainable Global Development. 2 indexed citations
14.
Sivakumar, R., et al.. (2019). Wideband Microwave Equalizer with Asymmetric Parabolic Gain-Slope for Airborne Applications. 1 indexed citations
15.
Sivakumar, R., et al.. (2017). A statistical model and an algorithm for diffusion tensor smoothing in impulse and mixed noise situations. Biomedical Research-tokyo. 351–354.
16.
Geetha, P., et al.. (2017). Facilitating E-learning through National Knowledge Network. DESIDOC Journal of Library & Information Technology. 37(2). 91–97. 2 indexed citations
17.
Sivakumar, R., et al.. (2017). Localization of neurodegenerative brain MRI image for gene expression evaluation. Biomedical Research-tokyo. 28(2). 539–548. 2 indexed citations
18.
Sivakumar, R., et al.. (2016). INTERRELATIONSHIP AMONG TEACHING COMPETENCY AND PROFESSIONAL DEVELOPMENT OF TEACHER EDUCATORS IN B.ED. COLLEGES. International Education and Research Journal. 2(1). 86–88.
19.
Sivakumar, R., et al.. (2014). Distance Based Hybrid Approach for Cluster Analysis Using Variants of K-means and Evolutionary Algorithm. Research Journal of Applied Sciences Engineering and Technology. 11(8). 1355–1362. 2 indexed citations
20.
Kumaravelan, G. & R. Sivakumar. (2012). A Learning Automata based Solution for Optimizing Dialogue Strategy in Spoken Dialogue System. International Journal of Computer Applications. 58(9). 20–27. 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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