Salil Bharany

2.5k total citations · 1 hit paper
113 papers, 1.3k citations indexed

About

Salil Bharany is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Salil Bharany has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 30 papers in Artificial Intelligence and 26 papers in Information Systems. Recurrent topics in Salil Bharany's work include IoT and Edge/Fog Computing (18 papers), Advanced Malware Detection Techniques (13 papers) and Network Security and Intrusion Detection (12 papers). Salil Bharany is often cited by papers focused on IoT and Edge/Fog Computing (18 papers), Advanced Malware Detection Techniques (13 papers) and Network Security and Intrusion Detection (12 papers). Salil Bharany collaborates with scholars based in India, Saudi Arabia and South Korea. Salil Bharany's co-authors include Sandeep Sharma, Sumit Badotra, Ateeq Ur Rehman, Mashael Maashi, Osamah Ibrahim Khalaf, Akashdeep Bhardwaj, Mohammed Shuaib, Shalli Rani, Mamoun Alazab and Rutvij H. Jhaveri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Salil Bharany

92 papers receiving 1.2k citations

Hit Papers

Energy efficient fault tolerance techniques in green clou... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salil Bharany India 18 602 339 302 189 125 113 1.3k
Ashish Kr. Luhach Papua New Guinea 22 603 1.0× 386 1.1× 325 1.1× 266 1.4× 137 1.1× 95 1.4k
Mubarak Alrashoud Saudi Arabia 19 380 0.6× 245 0.7× 481 1.6× 195 1.0× 107 0.9× 67 1.2k
Mohammad Dahman Alshehri Saudi Arabia 24 584 1.0× 432 1.3× 407 1.3× 352 1.9× 129 1.0× 56 1.5k
Mohammad Ayoub Khan Saudi Arabia 20 617 1.0× 394 1.2× 337 1.1× 412 2.2× 129 1.0× 67 1.5k
Ahmad Ali AlZubi Saudi Arabia 18 374 0.6× 250 0.7× 214 0.7× 186 1.0× 158 1.3× 91 1.1k
Jie Yang China 19 708 1.2× 296 0.9× 297 1.0× 393 2.1× 158 1.3× 132 1.5k
Lewis Nkenyereye South Korea 20 460 0.8× 248 0.7× 304 1.0× 320 1.7× 101 0.8× 76 1.1k
Parminder Singh India 22 728 1.2× 617 1.8× 360 1.2× 210 1.1× 139 1.1× 82 1.5k
In-Ho Ra South Korea 20 605 1.0× 428 1.3× 342 1.1× 370 2.0× 167 1.3× 110 1.7k
M. Prakash India 22 512 0.9× 360 1.1× 374 1.2× 320 1.7× 208 1.7× 79 1.5k

Countries citing papers authored by Salil Bharany

Since Specialization
Citations

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

Fields of papers citing papers by Salil Bharany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salil Bharany

This figure shows the co-authorship network connecting the top 25 collaborators of Salil Bharany. A scholar is included among the top collaborators of Salil Bharany 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 Salil Bharany. Salil Bharany 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.
Anand, Vatsala, Sheifali Gupta, Ahmad Almogren, et al.. (2025). Enhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21. e15734056353246–e15734056353246. 1 indexed citations
2.
Wang, Lei, Kiran Saleem, Salil Bharany, et al.. (2025). Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks. Scientific Reports. 15(1). 2182–2182. 3 indexed citations
4.
Saleem, Kiran, Lei Wang, & Salil Bharany. (2024). Survey of AI-driven routing protocols in underwater acoustic networks for enhanced communication efficiency. Ocean Engineering. 314. 119606–119606. 4 indexed citations
5.
Chhabra, Gunjan, Keshav Kaushik, Gourav Bathla, et al.. (2024). Internet of things based smart framework for the safe driving experience of two wheelers. Scientific Reports. 14(1). 21830–21830. 1 indexed citations
6.
Gupta, Sheifali, et al.. (2024). Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis. BMC Medical Informatics and Decision Making. 24(1). 414–414. 2 indexed citations
7.
Ouahada, Khmaies, et al.. (2024). Enhancing gait recognition by multimodal fusion of mobilenetv1 and xception features via PCA for OaA-SVM classification. Scientific Reports. 14(1). 17155–17155. 4 indexed citations
8.
Bhardwaj, Akashdeep, Salil Bharany, Ahmad Almogren, Ateeq Ur Rehman, & Habib Hamam. (2024). Proactive threat hunting to detect persistent behaviour-based advanced adversaries. Egyptian Informatics Journal. 27. 100510–100510. 1 indexed citations
10.
Chhabra, Gunjan, et al.. (2024). Monitoring of Fire within Forest Using Advanced Digital Differential Based Neural Network. 766–770. 1 indexed citations
11.
Almogren, Ahmad, et al.. (2024). Enhancing Brain Tumor Classification by a Comprehensive Study on Transfer Learning Techniques and Model Efficiency Using MRI Datasets. IEEE Access. 12. 100407–100418. 30 indexed citations
12.
Chhabra, Gunjan, et al.. (2024). Systematic Mapping Study on Edge and Fog Computing in Smart Cities: A Comprehensive Review. 771–777. 4 indexed citations
13.
Bharany, Salil, et al.. (2023). Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization. Frontiers in Marine Science. 10. 54 indexed citations
14.
Adeniyi, Abidemi Emmanuel, et al.. (2023). A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study. Mobile Information Systems. 2023. 1–14. 12 indexed citations
15.
Bhardwaj, Akashdeep, Keshav Kaushik, Salil Bharany, et al.. (2022). IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices. Sustainability. 14(21). 14645–14645. 13 indexed citations
16.
Bhardwaj, Akashdeep, et al.. (2022). Comparison of IoT Communication Protocols Using Anomaly Detection with Security Assessments of Smart Devices. Processes. 10(10). 1952–1952. 11 indexed citations
17.
Bhardwaj, Akashdeep, Keshav Kaushik, Abdullah Alomari, et al.. (2022). BTH: Behavior-Based Structured Threat Hunting Framework to Analyze and Detect Advanced Adversaries. Electronics. 11(19). 2992–2992. 11 indexed citations
18.
Bharany, Salil, Sandeep Sharma, Osamah Ibrahim Khalaf, et al.. (2022). A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing. Sustainability. 14(10). 6256–6256. 116 indexed citations
19.
Bharany, Salil, Sumit Badotra, Shalli Rani, et al.. (2022). Efficient Middleware for the Portability of PaaS Services Consuming Applications among Heterogeneous Clouds. Sensors. 22(13). 5013–5013. 39 indexed citations
20.
Rani, Ekta & Salil Bharany. (2018). Drainage Monitoring System using IoT. Journal of Emerging Technologies and Innovative Research. 5(12). 880-884–880-884. 3 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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