Faisal Rasheed Lone

795 total citations · 1 hit paper
10 papers, 438 citations indexed

About

Faisal Rasheed Lone is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Faisal Rasheed Lone has authored 10 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 4 papers in Automotive Engineering. Recurrent topics in Faisal Rasheed Lone's work include Vehicular Ad Hoc Networks (VANETs) (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic control and management (2 papers). Faisal Rasheed Lone is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic control and management (2 papers). Faisal Rasheed Lone collaborates with scholars based in India. Faisal Rasheed Lone's co-authors include Tawseef Ayoub Shaikh, Harsh Kumar Verma and S. Manohar Naik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Cluster Computing.

In The Last Decade

Faisal Rasheed Lone

8 papers receiving 412 citations

Hit Papers

Towards leveraging the role of machine learning and artif... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faisal Rasheed Lone India 5 276 57 48 45 44 10 438
Christos Pylianidis Netherlands 4 269 1.0× 88 1.5× 38 0.8× 26 0.6× 26 0.6× 4 607
Tawseef Ayoub Shaikh India 11 339 1.2× 78 1.4× 58 1.2× 40 0.9× 56 1.3× 25 718
Evans Asenso Ghana 10 247 0.9× 37 0.6× 56 1.2× 24 0.5× 26 0.6× 27 483
Vinay Chowdary India 4 404 1.5× 105 1.8× 33 0.7× 37 0.8× 60 1.4× 8 614
Aalap Doshi India 2 361 1.3× 84 1.5× 44 0.9× 30 0.7× 51 1.2× 3 622
D Muthumanickam India 4 208 0.8× 48 0.8× 25 0.5× 38 0.8× 27 0.6× 33 414
Huaji Zhu China 9 243 0.9× 38 0.7× 67 1.4× 46 1.0× 21 0.5× 30 399
Ravesa Akhter India 1 185 0.7× 37 0.6× 45 0.9× 30 0.7× 30 0.7× 3 286
Qiwei Guo China 9 335 1.2× 68 1.2× 68 1.4× 102 2.3× 27 0.6× 12 563
Shabir Ahmad Sofi India 9 248 0.9× 55 1.0× 128 2.7× 68 1.5× 42 1.0× 45 571

Countries citing papers authored by Faisal Rasheed Lone

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Rasheed Lone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faisal Rasheed Lone. 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 Faisal Rasheed Lone. The network helps show where Faisal Rasheed Lone may publish in the future.

Co-authorship network of co-authors of Faisal Rasheed Lone

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

All Works

10 of 10 papers shown
1.
Naik, S. Manohar, et al.. (2025). A novel CNN-enhanced detection and mitigation of DDoS attacks in SDN. Cluster Computing. 28(6).
3.
Naik, S. Manohar, et al.. (2024). A novel CNN‐based approach for detection and classification of DDoS attacks. Concurrency and Computation Practice and Experience. 36(19). 7 indexed citations
4.
Lone, Faisal Rasheed, et al.. (2024). ETSI ITS: A Comprehensive Overview of the Architecture, Challengesand Issues. International Journal of Sensors Wireless Communications and Control. 14(2). 85–103. 2 indexed citations
5.
Lone, Faisal Rasheed, et al.. (2023). A systematic study on the challenges, characteristics and security issues in vehicular networks. International Journal of Pervasive Computing and Communications. 20(1). 56–98. 5 indexed citations
6.
Shaikh, Tawseef Ayoub, et al.. (2022). Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming. Computers and Electronics in Agriculture. 198. 107119–107119. 395 indexed citations breakdown →
7.
Lone, Faisal Rasheed, et al.. (2022). Recommender Credibility-Based Trust Model for Secure V2X Communication. 1–6. 2 indexed citations
8.
Lone, Faisal Rasheed, et al.. (2021). Evolution of VANETS to IoV. SHILAP Revista de lepidopterología. 15(1). 143–149. 12 indexed citations
9.
Lone, Faisal Rasheed, et al.. (2016). Character segmentation for Nastaleeq URDU OCR: A review. 3. 1489–1493. 3 indexed citations
10.
Lone, Faisal Rasheed, et al.. (2013). Performance Comparison of Reed Solomon Code and BCH Code over Rayleigh Fading Channel. 71(20). 23–26. 12 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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