Anish Jindal

3.2k total citations · 1 hit paper
72 papers, 2.4k citations indexed

About

Anish Jindal is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Anish Jindal has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 30 papers in Computer Networks and Communications and 22 papers in Control and Systems Engineering. Recurrent topics in Anish Jindal's work include IoT and Edge/Fog Computing (21 papers), Smart Grid Security and Resilience (19 papers) and Smart Grid Energy Management (16 papers). Anish Jindal is often cited by papers focused on IoT and Edge/Fog Computing (21 papers), Smart Grid Security and Resilience (19 papers) and Smart Grid Energy Management (16 papers). Anish Jindal collaborates with scholars based in United Kingdom, India and China. Anish Jindal's co-authors include Neeraj Kumar, Gagangeet Singh Aujla, Mukesh Singh, Amit Dua, Kuljeet Kaur, Rajat Chaudhary, Sukumar Mishra, Shubhani Aggarwal, Joel J. P. C. Rodrigues and Kim‐Kwang Raymond Choo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Anish Jindal

69 papers receiving 2.3k citations

Hit Papers

Decision Tree and SVM-Based Data Analytics for Theft Dete... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anish Jindal United Kingdom 25 1.2k 880 835 629 513 72 2.4k
Mohamed Mahmoud United States 34 1.5k 1.3× 906 1.0× 780 0.9× 1.1k 1.7× 1.1k 2.1× 171 3.0k
Kuljeet Kaur Canada 33 1.4k 1.2× 2.0k 2.3× 1.1k 1.3× 646 1.0× 995 1.9× 76 3.6k
Amit Dua India 17 928 0.8× 722 0.8× 529 0.6× 346 0.6× 405 0.8× 60 1.8k
Jing Wu China 27 860 0.7× 871 1.0× 384 0.5× 1.3k 2.1× 310 0.6× 148 2.5k
Li Zhu China 27 1.3k 1.1× 1.3k 1.5× 478 0.6× 467 0.7× 460 0.9× 184 3.4k
Aparna Kumari India 24 708 0.6× 908 1.0× 1.1k 1.3× 334 0.5× 394 0.8× 59 2.2k
Kashif Naseer Qureshi Pakistan 29 1.2k 1.0× 1.6k 1.9× 629 0.8× 249 0.4× 568 1.1× 163 3.0k
Murat Kuzlu United States 29 2.2k 1.9× 629 0.7× 428 0.5× 1.3k 2.0× 478 0.9× 106 3.3k
Satyajayant Misra United States 24 2.5k 2.2× 2.2k 2.6× 452 0.5× 1.6k 2.5× 472 0.9× 116 4.3k
Sherif Abdelwahed United States 22 551 0.5× 684 0.8× 409 0.5× 688 1.1× 307 0.6× 176 1.9k

Countries citing papers authored by Anish Jindal

Since Specialization
Citations

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

Fields of papers citing papers by Anish Jindal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Jindal

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Jindal. A scholar is included among the top collaborators of Anish Jindal 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 Anish Jindal. Anish Jindal 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.
Aujla, Gagangeet Singh, et al.. (2024). Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks. Durham Research Online (Durham University). 3503–3508.
2.
Patel, Yogi, Rajesh Gupta, Jitendra Bhatia, et al.. (2024). SDN-care: Deep Learning-assisted Software Defined Networking Framework for IoT-Healthcare. 2123–2128.
4.
5.
Aujla, Gagangeet Singh, et al.. (2024). Big Data Analytics. Durham Research Online (Durham University). 8 indexed citations
6.
Anisi, Mohammad Hossein, et al.. (2023). An accurate RSS/AoA-based localization method for internet of underwater things. Ad Hoc Networks. 145. 103177–103177. 23 indexed citations
7.
Jindal, Anish, et al.. (2023). A Simulation-based Decision Support System for Urban Traffic Management. Durham Research Online (Durham University). 2 indexed citations
8.
Aujla, Gagangeet Singh, Anish Jindal, Danda B. Rawat, & Chunxiao Jiang. (2023). Deep neuro-fuzzy analytics for intelligent big data processing in smart ecosystems. Neural Computing and Applications. 35(33). 23667–23669. 1 indexed citations
9.
Singh, Amritpal, et al.. (2023). Health Monitoring and Diagnosis for Geo-Distributed Edge Ecosystem in Smart City. IEEE Internet of Things Journal. 10(21). 18571–18578. 10 indexed citations
10.
Soleymani, Seyed Ahmad, Shidrokh Goudarzi, Mohammad Hossein Anisi, et al.. (2022). TRUTH: Trust and Authentication Scheme in 5G-IIoT. IEEE Transactions on Industrial Informatics. 19(1). 880–889. 16 indexed citations
11.
Ngo, Khac–Hoang, et al.. (2022). Network Graph Generation Through Adaptive Clustering and Infection Dynamics: A Step Toward Global Connectivity. IEEE Communications Letters. 26(4). 783–787. 3 indexed citations
12.
Du, Jianbo, Haotong Cao, Aijing Sun, et al.. (2021). Drone-Assisted and Blockchain-Enabled Edge-Cloud Computing Networks: Architecture Design, Case Study, and Future Directions. IEEE Internet of Things Magazine. 4(4). 54–59. 1 indexed citations
13.
Jindal, Anish, et al.. (2021). Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods. IEEE Access. 9. 159291–159312. 26 indexed citations
14.
Jindal, Anish, Alberto Schaeffer-Filho, Angelos K. Marnerides, et al.. (2020). Tackling Energy Theft in Smart Grids through Data-driven Analysis. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 410–414. 25 indexed citations
15.
Khan, Abid, Saif Ur Rehman Malik, Haris Pervaiz, et al.. (2019). FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network. IEEE Internet of Things Journal. 7(7). 6132–6142. 111 indexed citations
16.
Dua, Amit, et al.. (2018). RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks. 206–212. 15 indexed citations
17.
Jindal, Anish, Amit Dua, Neeraj Kumar, et al.. (2018). Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing. IEEE Journal of Biomedical and Health Informatics. 22(5). 1605–1618. 59 indexed citations
18.
Chaudhary, Rajat, Anish Jindal, Gagangeet Singh Aujla, et al.. (2018). LSCSH: Lattice-Based Secure Cryptosystem for Smart Healthcare in Smart Cities Environment. IEEE Communications Magazine. 56(4). 24–32. 107 indexed citations
19.
Jindal, Anish, Neeraj Kumar, & Mukesh Singh. (2018). A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities. Future Generation Computer Systems. 108. 921–934. 50 indexed citations
20.
Jindal, Anish, et al.. (2015). A novel smart meter for better control over devices including electric vehicles and to enable smart use of power in smart home. Durham Research Online (Durham University). 1–6. 2 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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