Rakesh Ranjan Kumar

1.3k total citations
45 papers, 831 citations indexed

About

Rakesh Ranjan Kumar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Rakesh Ranjan Kumar has authored 45 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 22 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Rakesh Ranjan Kumar's work include IoT and Edge/Fog Computing (16 papers), Multi-Criteria Decision Making (13 papers) and Cloud Computing and Resource Management (13 papers). Rakesh Ranjan Kumar is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Multi-Criteria Decision Making (13 papers) and Cloud Computing and Resource Management (13 papers). Rakesh Ranjan Kumar collaborates with scholars based in India, Saudi Arabia and China. Rakesh Ranjan Kumar's co-authors include Chiranjeev Kumar, Mohammad Shameem, Arif Ali Khan, Rohit Tiwari, B. Chandra, Xuefeng Yan, Shahid Hussain, Binita Kumari, Mohammad Nadeem and Zubair Ashraf and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Soft Computing.

In The Last Decade

Rakesh Ranjan Kumar

38 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakesh Ranjan Kumar India 16 444 373 229 161 103 45 831
Mohammad Shameem India 18 584 1.3× 238 0.6× 116 0.5× 145 0.9× 201 2.0× 44 858
Hai Dong Australia 19 827 1.9× 574 1.5× 208 0.9× 448 2.8× 107 1.0× 122 1.4k
Avita Katal India 10 424 1.0× 396 1.1× 103 0.4× 194 1.2× 208 2.0× 40 967
Peter Membrey Hong Kong 10 320 0.7× 260 0.7× 139 0.6× 151 0.9× 239 2.3× 21 816
Chris Eaton 2 329 0.7× 255 0.7× 138 0.6× 237 1.5× 273 2.7× 3 874
Paul Zikopoulos 3 334 0.8× 261 0.7× 138 0.6× 240 1.5× 273 2.7× 4 882
Jérémy Robert Luxembourg 13 257 0.6× 304 0.8× 174 0.8× 94 0.6× 61 0.6× 24 854
Muhammad Azeem Akbar China 25 949 2.1× 290 0.8× 138 0.6× 212 1.3× 414 4.0× 95 1.5k
Nazri Kama Malaysia 17 337 0.8× 285 0.8× 60 0.3× 167 1.0× 127 1.2× 77 940
Paola Grosso Netherlands 16 517 1.2× 723 1.9× 111 0.5× 235 1.5× 153 1.5× 119 1.2k

Countries citing papers authored by Rakesh Ranjan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Ranjan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rakesh Ranjan 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 Rakesh Ranjan Kumar. The network helps show where Rakesh Ranjan Kumar may publish in the future.

Co-authorship network of co-authors of Rakesh Ranjan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Ranjan Kumar. A scholar is included among the top collaborators of Rakesh Ranjan 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 Rakesh Ranjan Kumar. Rakesh Ranjan 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, Rakesh Ranjan, et al.. (2025). Evaluation of High Temperature Phase Transformation, Deformation, and Corrosion Performance of Hot Dip Al-7Si-X (X=Mg, Cu, Sr, Sc) Alloy Coatings on Steel. Journal of Materials Engineering and Performance. 34(23). 27664–27679.
2.
Gupta, Indrajeet, Rakesh Ranjan Kumar, Debendra Muduli, Satyasis Mishra, & Smita Parija. (2025). A Machine Learning Approach for Credit Card Fraud Detection using Feature Engineering and Ensemble Models. 1–6.
3.
Rabbani, Syed Arman, et al.. (2025). Generative Artificial Intelligence in Healthcare: Applications, Implementation Challenges, and Future Directions. BioMedInformatics. 5(3). 37–37. 5 indexed citations
4.
Rabbani, Syed Arman, Mohamed El‐Tanani, Yahia El‐Tanani, et al.. (2025). Advances in Adoptive Cell Therapies in Cancer: From Mechanistic Breakthroughs to Clinical Frontiers and Overcoming Barriers. Medical Sciences. 13(3). 190–190.
5.
Muduli, Debendra, et al.. (2024). Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine. IEEE Access. 12. 141559–141579. 7 indexed citations
6.
Muduli, Debendra, et al.. (2024). Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine. Scientific Reports. 14(1). 29660–29660. 3 indexed citations
7.
Sharma, Santosh Kumar, Debendra Muduli, Rojalina Priyadarshini, et al.. (2023). An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. Engineering Applications of Artificial Intelligence. 128. 107449–107449. 20 indexed citations
8.
Mondal, Avik, et al.. (2023). Root cause analysis of indentation mark defect on Zn coated steel sheet in continuous galvanizing line. Engineering Failure Analysis. 157. 107883–107883. 1 indexed citations
9.
Tiwari, Rohit, Rakesh Ranjan Kumar, Gaurav Baranwal, & Rajkumar Buyya. (2023). Decision making framework for heterogeneous QoS information: an application to cloud service selection. Journal of Ambient Intelligence and Humanized Computing. 14(3). 2915–2934. 1 indexed citations
10.
Muduli, Debendra, Rakesh Ranjan Kumar, Jitesh Pradhan, & Abhinav Kumar. (2023). An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection. Neural Computing and Applications. 37(12). 7909–7924. 15 indexed citations
11.
Kumar, Rakesh Ranjan, et al.. (2022). QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach. Electronics. 11(21). 3469–3469. 5 indexed citations
12.
Kumar, Rakesh Ranjan, et al.. (2022). OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens. Computational Intelligence and Neuroscience. 2022. 1–16. 14 indexed citations
13.
Tiwari, Rohit & Rakesh Ranjan Kumar. (2020). G-TOPSIS: a cloud service selection framework using Gaussian TOPSIS for rank reversal problem. The Journal of Supercomputing. 77(1). 523–562. 37 indexed citations
14.
Tiwari, Rohit & Rakesh Ranjan Kumar. (2020). A Robust and Efficient MCDM-Based Framework for Cloud Service Selection Using Modified TOPSIS. International Journal of Cloud Applications and Computing. 11(1). 21–51. 8 indexed citations
15.
Shameem, Mohammad, Rakesh Ranjan Kumar, Chiranjeev Kumar, B. Chandra, & Arif Ali Khan. (2018). Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process. Journal of Software Evolution and Process. 30(11). 86 indexed citations
16.
Kumar, Rakesh Ranjan & Chiranjeev Kumar. (2017). Designing an efficient methodology based on Entropy-TOPSIS for evaluating efficiency of cloud services. 117–122. 10 indexed citations
17.
Kumar, Rakesh Ranjan, et al.. (2017). A Novel Framework for Cloud Service Evaluation and Selection Using Hybrid MCDM Methods. Arabian Journal for Science and Engineering. 43(12). 7015–7030. 62 indexed citations
18.
Kumar, Rakesh Ranjan & Chiranjeev Kumar. (2016). An evaluation system for cloud service selection using fuzzy AHP. 821–826. 13 indexed citations
19.
Dhawan, Sanjeev, Rakesh Ranjan Kumar, & Divya Sethi. (2013). Search Engine as a Tool for Destination Choice: A Paradigm shift.
20.
Kumar, Rakesh Ranjan, et al.. (2005). Search Engines Evaluation. DESIDOC Journal of Library & Information Technology. 25(2). 3–10. 6 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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