Diptendu Sinha Roy

2.6k total citations
155 papers, 1.5k citations indexed

About

Diptendu Sinha Roy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diptendu Sinha Roy has authored 155 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 66 papers in Electrical and Electronic Engineering and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diptendu Sinha Roy's work include IoT and Edge/Fog Computing (39 papers), Energy Efficient Wireless Sensor Networks (23 papers) and Energy Harvesting in Wireless Networks (21 papers). Diptendu Sinha Roy is often cited by papers focused on IoT and Edge/Fog Computing (39 papers), Energy Efficient Wireless Sensor Networks (23 papers) and Energy Harvesting in Wireless Networks (21 papers). Diptendu Sinha Roy collaborates with scholars based in India, Taiwan and China. Diptendu Sinha Roy's co-authors include K. Hemant Kumar Reddy, Dusmanta Kumar Mohanta, Ashish Kr. Luhach, Akhilendra Pratap Singh, Chih‐Yung Chang, Nihar Ranjan Pradhan, Xiao‐Zhi Gao, Rabindra K. Barik, Kavita Kavita and Sahil Verma and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Diptendu Sinha Roy

135 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diptendu Sinha Roy India 21 677 545 365 261 239 155 1.5k
Raj Rajkumar India 21 707 1.0× 524 1.0× 226 0.6× 247 0.9× 347 1.5× 88 1.7k
Asad Waqar Malik Pakistan 24 1.0k 1.5× 632 1.2× 526 1.4× 170 0.7× 244 1.0× 124 1.9k
Rizwan Patan India 25 992 1.5× 474 0.9× 412 1.1× 268 1.0× 483 2.0× 81 2.1k
Imed Ben Dhaou Saudi Arabia 18 453 0.7× 367 0.7× 223 0.6× 137 0.5× 199 0.8× 104 1.3k
Nader Mohamed United Arab Emirates 24 1.4k 2.1× 522 1.0× 400 1.1× 422 1.6× 185 0.8× 85 2.2k
Mian Ahmad Jan Pakistan 31 1.6k 2.4× 685 1.3× 713 2.0× 308 1.2× 650 2.7× 108 2.6k
Sourav Kumar Bhoi India 20 670 1.0× 482 0.9× 239 0.7× 110 0.4× 224 0.9× 91 1.2k
Qasem Abu Al‐Haija Jordan 26 1.0k 1.5× 317 0.6× 489 1.3× 296 1.1× 913 3.8× 151 2.1k
Insup Lee United States 7 707 1.0× 227 0.4× 279 0.8× 114 0.4× 276 1.2× 10 1.8k
Shalini Batra India 22 850 1.3× 436 0.8× 455 1.2× 217 0.8× 616 2.6× 74 1.6k

Countries citing papers authored by Diptendu Sinha Roy

Since Specialization
Citations

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

Fields of papers citing papers by Diptendu Sinha Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diptendu Sinha Roy. 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 Diptendu Sinha Roy. The network helps show where Diptendu Sinha Roy may publish in the future.

Co-authorship network of co-authors of Diptendu Sinha Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Diptendu Sinha Roy. A scholar is included among the top collaborators of Diptendu Sinha Roy 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 Diptendu Sinha Roy. Diptendu Sinha Roy 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.
Sangaiah, Arun Kumar, et al.. (2025). A Novel Intelligent Task Offloading Scheme for Multicontroller Environment in Software Defined Internet of Vehicles. IEEE Internet of Things Journal. 12(12). 20018–20029.
2.
Dhal, Pradip, et al.. (2025). A clinical diabetes prediction based support system based on the multi-objective metaheuristic inspired fine tuning deep network. Information Fusion. 122. 103188–103188. 1 indexed citations
4.
Zhang, Qiaoyun, Chih‐Yung Chang, Xuan Li, Cuijuan Shang, & Diptendu Sinha Roy. (2024). IEET: Improving Emergent Events Transmission for Home Elderly Care With Multi-Layer BLE Topology Control. IEEE Transactions on Consumer Electronics. 70(3). 5326–5339.
6.
Tiwari, Vaibhav, et al.. (2023). A Knapsack-based Metaheuristic for Edge Server Placement in 5G networks with heterogeneous edge capacities. Future Generation Computer Systems. 153. 222–233. 16 indexed citations
7.
Imoize, Agbotiname Lucky, et al.. (2023). Data-Driven Diffraction Loss Estimation for Future Intelligent Transportation Systems in 6G Networks. Mathematics. 11(13). 3004–3004. 3 indexed citations
8.
Srivastava, Gautam, et al.. (2023). Demcrp-et: decentralized multi-criteria ranked prosumers energy trading using distributed ledger technology. Peer-to-Peer Networking and Applications. 17(1). 549–565. 3 indexed citations
9.
Tiwari, Vaibhav, et al.. (2023). Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks. IEEE Open Journal of the Communications Society. 4. 1866–1878. 8 indexed citations
11.
Tripathy, Subhranshu Sekhar, et al.. (2023). An Intelligent Health Care System in Fog Platform with Optimized Performance. Sustainability. 15(3). 1862–1862. 26 indexed citations
12.
Luhach, Ashish Kr., et al.. (2023). A Residual Resource Fitness-Based Genetic Algorithm for a Fog-Level Virtual Machine Placement for Green Smart City Services. Sustainability. 15(11). 8918–8918. 1 indexed citations
13.
Roy, Diptendu Sinha, Ramesh Chandra Poonia, Ayman Altameem, et al.. (2022). GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force. PPAR Research. 2022. 1–10. 11 indexed citations
14.
Pradhan, Nihar Ranjan, Akhilendra Pratap Singh, Sahil Verma, et al.. (2022). A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed. Sensors. 22(9). 3449–3449. 27 indexed citations
15.
Mohanty, Prasant, et al.. (2022). Predicting daily household energy usages by using Model Agnostic Language for Exploration and Explanation. 19. 543–547. 4 indexed citations
16.
Pradhan, Nihar Ranjan, Akhilendra Pratap Singh, Neeraj Kumar, Mohammad Mehedi Hassan, & Diptendu Sinha Roy. (2021). A Flexible Permission Ascription (FPA)-Based Blockchain Framework for Peer-to-Peer Energy Trading With Performance Evaluation. IEEE Transactions on Industrial Informatics. 18(4). 2465–2475. 40 indexed citations
17.
Pradhan, Nihar Ranjan, Akhilendra Pratap Singh, Kaibalya Prasad Panda, & Diptendu Sinha Roy. (2021). A novel Confidential Consortium Blockchain framework for peer to peer energy trading. International Journal of Emerging Electric Power Systems. 23(5). 673–681. 5 indexed citations
18.
Moulik, Soumen, et al.. (2021). Ensemble-Based Machine Learning for Predicting Sudden Human Fall Using Health Data. Mathematical Problems in Engineering. 2021. 1–12. 2 indexed citations
19.
Singh, Akhilendra Pratap, Nihar Ranjan Pradhan, Ashish Kr. Luhach, et al.. (2020). A Novel Patient-Centric Architectural Framework for Blockchain-Enabled Healthcare Applications. IEEE Transactions on Industrial Informatics. 17(8). 5779–5789. 157 indexed citations
20.
Roy, Diptendu Sinha, et al.. (2020). Smart Hat: Design and Implementation of a Wearable Learning Device for Kids Using AI and IoTs Techniques. 網際網路技術學刊. 21(2). 593–604. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026