Aparna Kumari

3.4k total citations · 2 hit papers
59 papers, 2.2k citations indexed

About

Aparna Kumari is a scholar working on Electrical and Electronic Engineering, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Aparna Kumari has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 25 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in Aparna Kumari's work include Blockchain Technology Applications and Security (23 papers), Smart Grid Energy Management (19 papers) and Smart Grid Security and Resilience (16 papers). Aparna Kumari is often cited by papers focused on Blockchain Technology Applications and Security (23 papers), Smart Grid Energy Management (19 papers) and Smart Grid Security and Resilience (16 papers). Aparna Kumari collaborates with scholars based in India, Saudi Arabia and Taiwan. Aparna Kumari's co-authors include Sudeep Tanwar, Neeraj Kumar, Rajesh Gupta, Sudhanshu Tyagi, Wei‐Chiang Hong, Pradeep Kumar Singh, Kim‐Kwang Raymond Choo, Ravi Sharma, Joel J. P. C. Rodrigues and Michele Maasberg and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Aparna Kumari

52 papers receiving 2.1k citations

Hit Papers

Fog computing for Healthcare 4.0 environment: Opportuniti... 2018 2026 2020 2023 2018 2019 50 100 150 200 250
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.

  1. Fog computing for Healthcare 4.0 environment: Opportunities and challenges
    2018 291 citations Aparna Kumari, Sudeep Tanwar et al. profile →
  2. Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward
    2019 229 citations Sudeep Tanwar, Aparna Kumari et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aparna Kumari India 24 1.1k 908 708 394 334 59 2.2k
Faisal Jamil South Korea 22 1.1k 1.0× 836 0.9× 423 0.6× 366 0.9× 153 0.5× 61 2.1k
Ismaeel Al Ridhawi Kuwait 27 808 0.8× 1.4k 1.5× 657 0.9× 595 1.5× 149 0.4× 63 2.2k
Uttam Ghosh United States 29 993 0.9× 1.5k 1.6× 599 0.8× 867 2.2× 229 0.7× 172 3.1k
Anish Jindal United Kingdom 25 835 0.8× 880 1.0× 1.2k 1.6× 513 1.3× 629 1.9× 72 2.4k
Abdulsalam Yassine Canada 28 821 0.8× 879 1.0× 926 1.3× 474 1.2× 208 0.6× 114 2.7k
Shabir Ahmad South Korea 28 682 0.6× 735 0.8× 468 0.7× 318 0.8× 153 0.5× 93 2.2k
Hasan Ali Khattak Pakistan 27 687 0.6× 1.1k 1.2× 774 1.1× 457 1.2× 240 0.7× 105 2.3k
Mian Ahmad Jan Pakistan 31 713 0.7× 1.6k 1.8× 685 1.0× 650 1.6× 140 0.4× 108 2.6k
Safa Otoum United Arab Emirates 25 1.0k 0.9× 1.3k 1.5× 517 0.7× 944 2.4× 185 0.6× 60 2.4k
Kashif Naseer Qureshi Pakistan 29 629 0.6× 1.6k 1.8× 1.2k 1.6× 568 1.4× 249 0.7× 163 3.0k

Countries citing papers authored by Aparna Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Aparna Kumari. A scholar is included among the top collaborators of Aparna Kumari 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 Aparna Kumari. Aparna Kumari 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.
Kumari, Aparna, et al.. (2025). CNN-based cancer prediction scheme using 5G-assisted federated learning for healthcare Industry 5.0. Alexandria Engineering Journal. 126. 131–142. 1 indexed citations
2.
Saud, S. N., et al.. (2025). Design and Implementation of IoT-Based Smart Fuel Monitoring System. 32–37. 1 indexed citations
3.
Kumari, Aparna, Riya Kakkar, Sudeep Tanwar, et al.. (2024). Multi-agent-based decentralized residential energy management using Deep Reinforcement Learning. Journal of Building Engineering. 87. 109031–109031. 26 indexed citations
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Bhattacharya, Pronaya, Aparna Kumari, Ishan Budhiraja, & Sudeep Tanwar. (2024). MetaEd: Metaverse-Assisted Virtual Classroom and Content Generation Framework Underlying 5G. 25–30. 1 indexed citations
6.
Kumari, Aparna, Pronaya Bhattacharya, Ashwin Verma, Zhu Zhu, & Thippa Reddy Gadekallu. (2024). Federated Edge Computing for Edge-Assisted Consumer Electronics. IEEE Consumer Electronics Magazine. 14(4). 33–40. 4 indexed citations
7.
Kumari, Aparna, et al.. (2024). Intelligent wearable-assisted digital healthcare industry 5.0. Artificial Intelligence in Medicine. 157. 103000–103000. 5 indexed citations
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Kakkar, Riya, Aparna Kumari, Rajesh Gupta, Smita Agrawal, & Sudeep Tanwar. (2023). Artificial Neural Network and Game Theory for Secure Optimal Charging Station Selection for EVs. 1–6. 5 indexed citations
12.
Jadav, Nilesh Kumar, Aparna Kumari, Rajesh Gupta, et al.. (2023). Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G. Concurrency and Computation Practice and Experience. 36(3). 18 indexed citations
13.
Kakkar, Riya, Aparna Kumari, Smita Agrawal, & Sudeep Tanwar. (2023). GTS-CS: A Game Theoretic Strategy for Distributed EV Charging Station using Multiple Photovoltaic. 1–6. 6 indexed citations
14.
Kumari, Aparna & Sudeep Tanwar. (2021). RAKSHAK: Resilient and Scalable Demand Response Management Scheme for Smart Grid Systems. 309–314. 7 indexed citations
15.
Kumari, Aparna & Sudeep Tanwar. (2021). A Reinforcement-Learning-Based Secure Demand Response Scheme for Smart Grid System. IEEE Internet of Things Journal. 9(3). 2180–2191. 67 indexed citations
16.
Kumari, Aparna, Mohil Maheshkumar Patel, Arpit Shukla, et al.. (2020). ArMor: A Data Analytics Scheme to identify malicious behaviors on Blockchain-based Smart Grid System. 1–6. 14 indexed citations
17.
Kumari, Aparna, et al.. (2020). ξboost: An AI-Based Data Analytics Scheme for COVID-19 Prediction and Economy Boosting. IEEE Internet of Things Journal. 8(21). 15977–15989. 26 indexed citations
18.
Kumari, Aparna, Sudeep Tanwar, Sudhanshu Tyagi, & Neeraj Kumar. (2020). Blockchain-Based Massive Data Dissemination Handling in IIoT Environment. IEEE Network. 35(1). 318–325. 38 indexed citations
19.
Kumari, Aparna, et al.. (2019). Evaluation of aquaculture units established in inland salt affected areas of district Fazilka, Punjab.. Indian Journal of Ecology. 46(1). 196–200. 1 indexed citations
20.
Kumari, Aparna, Sudeep Tanwar, Sudhanshu Tyagi, et al.. (2018). Fog data analytics: A taxonomy and process model. Journal of Network and Computer Applications. 128. 90–104. 85 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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