Raghavendra Kune

422 total citations
13 papers, 236 citations indexed

About

Raghavendra Kune is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Raghavendra Kune has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Raghavendra Kune's work include Cloud Computing and Resource Management (5 papers), Quantum Information and Cryptography (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Raghavendra Kune is often cited by papers focused on Cloud Computing and Resource Management (5 papers), Quantum Information and Cryptography (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Raghavendra Kune collaborates with scholars based in India, Australia and China. Raghavendra Kune's co-authors include B. S. Manoj, Arun Agarwal, Rajkumar Buyya and Mukesh Kumar Tripathi and has published in prestigious journals such as IEEE Access, Photogrammetric Engineering & Remote Sensing and Software Practice and Experience.

In The Last Decade

Raghavendra Kune

12 papers receiving 223 citations

Peers

Raghavendra Kune
David R. So United States
Haoran Yang China
Lirong Qiu China
B. J. K. Evans Australia
Olivier Marin France
Geun Sik Jo South Korea
Jalel Akaichi Tunisia
Wenpin Jiao China
David R. So United States
Raghavendra Kune
Citations per year, relative to Raghavendra Kune Raghavendra Kune (= 1×) peers David R. So

Countries citing papers authored by Raghavendra Kune

Since Specialization
Citations

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

Fields of papers citing papers by Raghavendra Kune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghavendra Kune

This figure shows the co-authorship network connecting the top 25 collaborators of Raghavendra Kune. A scholar is included among the top collaborators of Raghavendra Kune 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 Raghavendra Kune. Raghavendra Kune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kune, Raghavendra, et al.. (2024). SWT-PCA-CNN: hyperspectral image classification with multi-stage feature extraction and parameter tuning. Indonesian Journal of Electrical Engineering and Computer Science. 34(1). 59–59.
2.
Kune, Raghavendra, et al.. (2022). Quantum Processing in Fusion of SAR and Optical Images for Deep Learning: A Data-Centric Approach. IEEE Access. 10. 73743–73757. 14 indexed citations
3.
Kune, Raghavendra, et al.. (2022). Quantum–Classical Image Processing for Scene Classification. IEEE Sensors Letters. 6(6). 1–4. 10 indexed citations
4.
Kune, Raghavendra, et al.. (2021). A hybrid classical-quantum approach for multi-class classification. Quantum Information Processing. 20(3). 43 indexed citations
5.
Kune, Raghavendra, et al.. (2021). Quantum-enhanced deep neural network architecture for image scene classification. Quantum Information Processing. 20(11). 17 indexed citations
6.
Kune, Raghavendra, et al.. (2020). Training an Artificial Neural Network Using Qubits as Artificial Neurons: A Quantum Computing Approach. Procedia Computer Science. 171. 568–575. 9 indexed citations
7.
Kune, Raghavendra, et al.. (2017). Split key management framework for Open Stack Swift object storage cloud. CSI Transactions on ICT. 5(4). 397–406. 4 indexed citations
8.
Kune, Raghavendra, et al.. (2016). Autonomous Ortho-Rectification of Very High Resolution Imagery Using SIFT and Genetic Algorithm. Photogrammetric Engineering & Remote Sensing. 82(5). 377–388. 2 indexed citations
9.
Kune, Raghavendra, et al.. (2016). XHAMI – extended HDFS and MapReduce interface for Big Data image processing applications in cloud computing environments. Software Practice and Experience. 47(3). 455–472. 14 indexed citations
10.
Kune, Raghavendra, et al.. (2016). Autonomous Ortho-Rectification of Very High Resolution Imagery Using SIFT and Genetic Algorithm. Photogrammetric Engineering & Remote Sensing. 82(5). 377–388. 5 indexed citations
11.
Kune, Raghavendra, et al.. (2015). The anatomy of big data computing. Software Practice and Experience. 46(1). 79–105. 104 indexed citations
12.
Kune, Raghavendra, et al.. (2015). XHAMI -- Extended HDFS and MapReduce Interface for Image Processing Applications. 51. 43–51. 5 indexed citations
13.
Kune, Raghavendra, et al.. (2014). Genetic Algorithm Based Data-Aware Group Scheduling for Big Data Clouds. 9 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