Ranesh Kumar Naha

1.6k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Ranesh Kumar Naha is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ranesh Kumar Naha has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 19 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Ranesh Kumar Naha's work include Cloud Computing and Resource Management (15 papers), IoT and Edge/Fog Computing (14 papers) and Blockchain Technology Applications and Security (5 papers). Ranesh Kumar Naha is often cited by papers focused on Cloud Computing and Resource Management (15 papers), IoT and Edge/Fog Computing (14 papers) and Blockchain Technology Applications and Security (5 papers). Ranesh Kumar Naha collaborates with scholars based in Australia, New Zealand and Canada. Ranesh Kumar Naha's co-authors include Saurabh Garg, Sudheer Kumar Battula, Rajiv Ranjan, Dimitrios Georgakopoulos, Yong Xiang, Prem Prakash Jayaraman, Longxiang Gao, Aniket Mahanti, Мohamed Othman and Andrew Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ranesh Kumar Naha

37 papers receiving 977 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

2018 391 citations Ranesh Kumar Naha, Saurabh Garg et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ranesh Kumar Naha Australia	14	802	511	201	181	124	42	1.0k
Tam N. Nguyen United States	4	777 1.0×	392 0.8×	249 1.2×	172 1.0×	119 1.0×	6	955
Krishna Kadiyala United States	4	786 1.0×	375 0.7×	250 1.2×	163 0.9×	114 0.9×	5	934
Andrei Palade Ireland	13	853 1.1×	456 0.9×	225 1.1×	241 1.3×	133 1.1×	19	1.1k
Karan Mitra Sweden	18	677 0.8×	404 0.8×	190 0.9×	276 1.5×	167 1.3×	60	1.1k
Mohammad Sadegh Aslanpour Australia	13	767 1.0×	680 1.3×	142 0.7×	106 0.6×	163 1.3×	18	1.1k
Pengfei Hu China	8	934 1.2×	430 0.8×	320 1.6×	273 1.5×	157 1.3×	12	1.1k
Subhadeep Sarkar India	11	1.0k 1.3×	353 0.7×	344 1.7×	195 1.1×	114 0.9×	29	1.2k
Muhammad Ibrahim Pakistan	18	636 0.8×	450 0.9×	148 0.7×	91 0.5×	141 1.1×	74	1.1k
Amirreza Niakanlahiji United States	8	846 1.1×	468 0.9×	254 1.3×	165 0.9×	168 1.4×	15	1.1k
Hailiang Zhao China	12	745 0.9×	357 0.7×	268 1.3×	166 0.9×	239 1.9×	20	1.1k

Countries citing papers authored by Ranesh Kumar Naha

Since Specialization

Citations

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

Fields of papers citing papers by Ranesh Kumar Naha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranesh Kumar Naha

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Karmakar, Gour, Sudheer Kumar Battula, Ranesh Kumar Naha, et al.. (2025). Regional-Level Disaggregation of EV Uptake Energy Consumption Using Bottom-Up Approach. IEEE Transactions on Transportation Electrification. 11(6). 14075–14086.

Pamula, Rajendra, et al.. (2024). Intelligent transportation system for automated medical services during pandemic. Future Generation Computer Systems. 163. 107515–107515. 2 indexed citations

Chowdhury, Abdullahi, et al.. (2024). Coral Reef Surveillance with Machine Learning: A Review of Datasets, Techniques, and Challenges. Electronics. 13(24). 5027–5027. 3 indexed citations

Naha, Ranesh Kumar, et al.. (2024). Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study. IEEE Access. 12. 134041–134061. 12 indexed citations

Chowdhury, Abdullahi, et al.. (2024). AI-Powered Resilience: Addressing the Mental Health Impact of Mass Layoffs in the Digital Age. FedUni ResearchOnline (Federation University Australia). 1–6. 1 indexed citations

Naha, Ranesh Kumar, et al.. (2023). HRFP: Highly Relevant Frequent Patterns-Based Prefetching and Caching Algorithms for Distributed File Systems. Electronics. 12(5). 1183–1183.

Chowdhury, Abdullahi, et al.. (2023). IoT-Based Emergency Vehicle Services in Intelligent Transportation System. Sensors. 23(11). 5324–5324. 18 indexed citations

Naha, Ranesh Kumar, et al.. (2023). Application and user-specific data prefetching and parallel read algorithms for distributed file systems. Cluster Computing. 27(3). 3593–3613.

Chowdhury, Abdullahi, Mohammad Manzurul Islam, Shahriar Kaisar, et al.. (2023). Leveraging Oversampling Techniques in Machine Learning Models for Multi-class Malware Detection in Smart Home Applications. FedUni ResearchOnline (Federation University Australia). 14. 2216–2221. 1 indexed citations

10.

Karmakar, Gour, Ranesh Kumar Naha, Rakibuzzaman Shah, Joarder Kamruzzaman, & Rajkumar Das. (2023). Software-Defined Access Control in Smart Grids. FedUni ResearchOnline (Federation University Australia). 1–6.

11.

Aiash, Mahdi, et al.. (2023). Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. 100913–100913. 5 indexed citations

12.

Naha, Ranesh Kumar, Saurabh Garg, Sudheer Kumar Battula, Muhammad Bilal Amin, & Dimitrios Georgakopoulos. (2022). Multiple linear regression-based energy-aware resource allocation in the Fog computing environment. Computer Networks. 216. 109240–109240. 15 indexed citations

13.

Naha, Ranesh Kumar, Saurabh Garg, Sudheer Kumar Battula, et al.. (2021). Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control. Electronics. 10(10). 1171–1171. 36 indexed citations

14.

Naha, Ranesh Kumar, et al.. (2021). Providing Consistent State to Distributed Storage System. Computers. 10(2). 23–23. 3 indexed citations

15.

Fu, Anmin, et al.. (2020). FogAuthChain: A secure location-based authentication scheme in fog computing environments using Blockchain. Computer Communications. 162. 212–224. 56 indexed citations

16.

Fu, Anmin, et al.. (2020). Authentication, Access Control, Privacy, Threats and Trust Management\n Towards Securing Fog Computing Environments: A Review. arXiv (Cornell University). 14 indexed citations

17.

Debnath, Sanjoy Kumar, Rosli Omar, Susama Bagchi, et al.. (2020). COMPUTATIONALLY EFFICIENT PATH PLANNING ALGORITHM FOR AUTONOMOUS VEHICLE. Jurnal Teknologi. 83(1). 133–143. 7 indexed citations

18.

Naha, Ranesh Kumar, Saurabh Garg, Andrew Chan, & Sudheer Kumar Battula. (2019). Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment. Future Generation Computer Systems. 104. 131–141. 123 indexed citations

19.

Battula, Sudheer Kumar, Saurabh Garg, Ranesh Kumar Naha, Parimala Thulasiraman, & Ruppa K. Thulasiram. (2019). A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. Sensors. 19(13). 2954–2954. 27 indexed citations

20.

Naha, Ranesh Kumar, Saurabh Garg, Dimitrios Georgakopoulos, et al.. (2018). Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions. IEEE Access. 6. 47980–48009. 391 indexed citations breakdown →

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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