Praveen Kumar Donta

1.9k total citations
71 papers, 1.3k citations indexed

About

Praveen Kumar Donta is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Praveen Kumar Donta has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 18 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Praveen Kumar Donta's work include IoT and Edge/Fog Computing (20 papers), Energy Efficient Wireless Sensor Networks (16 papers) and Energy Harvesting in Wireless Networks (9 papers). Praveen Kumar Donta is often cited by papers focused on IoT and Edge/Fog Computing (20 papers), Energy Efficient Wireless Sensor Networks (16 papers) and Energy Harvesting in Wireless Networks (9 papers). Praveen Kumar Donta collaborates with scholars based in Austria, India and Sweden. Praveen Kumar Donta's co-authors include Tarachand Amgoth, Chandra Sekhara Rao Annavarapu, Schahram Dustdar, Víctor Casamayor Pujol, Satish Narayana Srirama, Ilir Murturi, Korhan Cengiz, Sunil Kumar, Venkata N Inukollu and Abhishek Hazra and has published in prestigious journals such as Proceedings of the IEEE, Sensors and Computer.

In The Last Decade

Praveen Kumar Donta

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praveen Kumar Donta Austria 21 839 486 203 193 126 71 1.3k
Shidrokh Goudarzi Malaysia 20 636 0.8× 603 1.2× 303 1.5× 225 1.2× 91 0.7× 55 1.2k
Guiling Wang United States 17 1.1k 1.3× 810 1.7× 192 0.9× 211 1.1× 148 1.2× 61 1.6k
Tarek Moulahi Saudi Arabia 17 621 0.7× 476 1.0× 308 1.5× 189 1.0× 102 0.8× 63 1.1k
Sghaier Guizani Saudi Arabia 12 955 1.1× 474 1.0× 249 1.2× 262 1.4× 181 1.4× 45 1.4k
Sandeep Sharma India 14 718 0.9× 238 0.5× 183 0.9× 375 1.9× 113 0.9× 70 1.1k
Abdellatif Kobbane Morocco 17 914 1.1× 665 1.4× 169 0.8× 195 1.0× 102 0.8× 139 1.4k
Luca Bedogni Italy 19 543 0.6× 562 1.2× 119 0.6× 109 0.6× 201 1.6× 99 1.2k
Neng Wang China 8 701 0.8× 356 0.7× 119 0.6× 161 0.8× 191 1.5× 35 1.1k
Salil Bharany India 18 602 0.7× 189 0.4× 302 1.5× 339 1.8× 125 1.0× 113 1.3k
Noureddine Boudriga Tunisia 18 767 0.9× 444 0.9× 308 1.5× 367 1.9× 177 1.4× 219 1.5k

Countries citing papers authored by Praveen Kumar Donta

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Kumar Donta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveen Kumar Donta

This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Kumar Donta. A scholar is included among the top collaborators of Praveen Kumar Donta 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 Praveen Kumar Donta. Praveen Kumar Donta 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.
Donta, Praveen Kumar, et al.. (2026). Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. IEEE Internet of Things Journal. 1–1.
2.
3.
Tarkoma, Sasu, Anders Lindgren, Praveen Kumar Donta, et al.. (2025). MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems. ACM Transactions on Autonomous and Adaptive Systems. 1 indexed citations
4.
Zhang, Zhiguo, et al.. (2025). Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution. IEEE Transactions on Mobile Computing. 1–16.
5.
Li, Ying, Xingwei Wang, Rongfei Zeng, et al.. (2025). Federated Domain Generalization: A Survey. Proceedings of the IEEE. 113(4). 370–410.
6.
Li, Ying, Praveen Kumar Donta, Xingwei Wang, et al.. (2025). KDN-FLB: Knowledge-Defined Networking Through Federated Learning and Blockchain. Computer. 58(5). 16–26.
7.
Pujol, Víctor Casamayor, et al.. (2024). Markov Blanket Composition of SLOs. 128–138. 2 indexed citations
8.
Murturi, Ilir, et al.. (2024). Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams. Zenodo (CERN European Organization for Nuclear Research). 3803–3808. 5 indexed citations
9.
Kumar, Chiranjeev, et al.. (2024). Low discrepancy on non-linear sensor deployment in a time-critical linear IIoT network. Internet of Things. 26. 101165–101165. 2 indexed citations
10.
Pujol, Víctor Casamayor, et al.. (2024). Active Inference on the Edge: A Design Study. 550–555. 4 indexed citations
11.
Xiao, Maohua, Zhenyu Wang, Yuanfang Zhao, et al.. (2023). A new fault feature extraction method of rolling bearings based on the improved self-selection ICEEMDAN-permutation entropy. ISA Transactions. 143. 536–547. 23 indexed citations
12.
Murturi, Ilir, et al.. (2023). Blockchain-Based Zero Trust on the Edge. Zenodo (CERN European Organization for Nuclear Research). 1006–1013. 5 indexed citations
13.
Annavarapu, Chandra Sekhara Rao, et al.. (2023). A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation. Diagnostics. 13(8). 1406–1406. 14 indexed citations
14.
Manikandan, V. M., et al.. (2023). An Ensemble Learning Approach for Reversible Data Hiding in Encrypted Images with Fibonacci Transform. Electronics. 12(2). 450–450. 8 indexed citations
15.
Varghese, Blesson, Ilir Murturi, Praveen Kumar Donta, et al.. (2023). Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey. Computers. 12(8). 162–162. 11 indexed citations
16.
Pujol, Víctor Casamayor, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, & Schahram Dustdar. (2023). Fundamental Research Challenges for Distributed Computing Continuum Systems. Information. 14(3). 198–198. 21 indexed citations
17.
Liu, Jain‐Shing, Chun‐Hung Richard Lin, Yu‐Chen Hu, & Praveen Kumar Donta. (2022). Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory. Sensors. 22(6). 2328–2328. 20 indexed citations
18.
Bhattacharya, Sweta, Nancy Victor, Rajeswari Chengoden, et al.. (2022). Blockchain for Internet of Underwater Things: State-of-the-Art, Applications, Challenges, and Future Directions. Sustainability. 14(23). 15659–15659. 31 indexed citations
19.
Dehury, Chinmaya Kumar, Praveen Kumar Donta, Schahram Dustdar, & Satish Narayana Srirama. (2022). CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things. 33–40. 11 indexed citations
20.
Donta, Praveen Kumar, Satish Narayana Srirama, Tarachand Amgoth, & Chandra Sekhara Rao Annavarapu. (2021). Survey on recent advances in IoT application layer protocols and machine learning scope for research directions. Digital Communications and Networks. 8(5). 727–744. 90 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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