S. Neelakandan

4.0k total citations
75 papers, 2.5k citations indexed

About

S. Neelakandan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, S. Neelakandan has authored 75 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in S. Neelakandan's work include IoT and Edge/Fog Computing (10 papers), Blockchain Technology Applications and Security (7 papers) and Face and Expression Recognition (6 papers). S. Neelakandan is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Blockchain Technology Applications and Security (7 papers) and Face and Expression Recognition (6 papers). S. Neelakandan collaborates with scholars based in India, Saudi Arabia and Ethiopia. S. Neelakandan's co-authors include M. Prakash, D. Paulraj, Youseef Alotaibi, Saleh Alghamdi, B. T. Geetha, Osamah Ibrahim Khalaf, L. Natrayan, J. Rene Beulah, N. Arulkumar and Deepak Kumar Jain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

S. Neelakandan

73 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Neelakandan India 30 754 743 519 448 360 75 2.5k
Youseef Alotaibi Saudi Arabia 33 1.2k 1.6× 507 0.7× 600 1.2× 660 1.5× 230 0.6× 90 2.7k
Ashutosh Sharma India 35 928 1.2× 763 1.0× 585 1.1× 894 2.0× 404 1.1× 134 3.5k
Muhammad Faheem Pakistan 29 754 1.0× 351 0.5× 722 1.4× 287 0.6× 199 0.6× 125 2.1k
Muhammad Shoaib Pakistan 23 554 0.7× 377 0.5× 461 0.9× 259 0.6× 347 1.0× 102 1.9k
Saif ul Islam Pakistan 31 1.2k 1.6× 362 0.5× 1.1k 2.1× 547 1.2× 282 0.8× 112 2.9k
Shalli Rani India 32 1.8k 2.3× 542 0.7× 986 1.9× 627 1.4× 326 0.9× 222 3.1k
Aman Singh India 25 618 0.8× 375 0.5× 400 0.8× 339 0.8× 194 0.5× 126 2.1k
Lalit Kumar Awasthi India 19 796 1.1× 779 1.0× 503 1.0× 394 0.9× 255 0.7× 149 2.4k
Osamah Ibrahim Khalaf Iraq 38 1.7k 2.3× 873 1.2× 974 1.9× 941 2.1× 398 1.1× 151 4.4k
Abdellah Chehri Canada 27 724 1.0× 490 0.7× 1.2k 2.4× 249 0.6× 399 1.1× 243 3.0k

Countries citing papers authored by S. Neelakandan

Since Specialization
Citations

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

Fields of papers citing papers by S. Neelakandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Neelakandan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Neelakandan. A scholar is included among the top collaborators of S. Neelakandan 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 S. Neelakandan. S. Neelakandan 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.
Prakash, M., et al.. (2024). An Efficient Secure Sharing of Electronic Health Records Using IoT-Based Hyperledger Blockchain. International Journal of Intelligent Systems. 2024. 1–16. 26 indexed citations
2.
Prakash, M., et al.. (2024). Provably secure data selective sharing scheme with cloud-based decentralized trust management systems. Journal of Cloud Computing Advances Systems and Applications. 13(1). 3 indexed citations
3.
Jain, Deepak Kumar, Xudong Zhao, Salvador García, & S. Neelakandan. (2024). Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model. Expert Systems with Applications. 249. 123527–123527. 7 indexed citations
4.
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6.
Nanda, Ashok Kumar, et al.. (2023). Multi-layer perceptron's neural network with optimization algorithm for greenhouse gas forecasting systems. Environmental Challenges. 11. 100708–100708. 15 indexed citations
7.
Prakash, M., S. Neelakandan, & Bong‐Hyun Kim. (2023). Reinforcement Learning-Based Multidimensional Perception and Energy Awareness Optimized Link State Routing for Flying Ad-Hoc Networks. Mobile Networks and Applications. 29(2). 315–333. 9 indexed citations
8.
Paulraj, D., S. Neelakandan, M. Prakash, & E. Baburaj. (2023). Admission control policy and key agreement based on anonymous identity in cloud computing. Journal of Cloud Computing Advances Systems and Applications. 12(1). 9 indexed citations
9.
Jain, Deepak Kumar, S. Neelakandan, Ankit Vidyarthi, & Deepak Gupta. (2023). Deep learning-based intelligent system for fingerprint identification using decision-based median filter. Pattern Recognition Letters. 174. 25–31. 10 indexed citations
10.
Neelakandan, S., et al.. (2023). Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing. Journal of Cloud Computing Advances Systems and Applications. 12(1). 57 indexed citations
11.
Prakash, M., et al.. (2023). A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition. Scientific Reports. 13(1). 17822–17822. 3 indexed citations
12.
Neelakandan, S., et al.. (2023). An Efficient WBC Cancer Cells Prediction Using Dense Net Algorithm. 1–6. 1 indexed citations
13.
Xu, Zheng, et al.. (2023). Slime Mold optimization with hybrid deep learning enabled crowd-counting approach in video surveillance. Neural Computing and Applications. 36(5). 2215–2229. 7 indexed citations
14.
Neelakandan, S., et al.. (2022). Modeling of Real Time Traffic Flow Monitoring System Using Deep Learning and Unmanned Aerial Vehicles. Journal of Mobile Multimedia. 7 indexed citations
15.
Neelakandan, S., M. Prakash, B. T. Geetha, et al.. (2022). Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management. Chemosphere. 308(Pt 1). 136046–136046. 36 indexed citations
16.
Asha, P., et al.. (2021). IoT enabled environmental toxicology for air pollution monitoring using AI techniques. Environmental Research. 205. 112574–112574. 184 indexed citations
17.
Neelakandan, S., et al.. (2016). Large scale optimization to minimize network traffic using MapReduce in big data applications. 193–199. 29 indexed citations
18.
Neelakandan, S., et al.. (2015). Decentralized Access Control of Data in Cloud Services using Key Policy Attribute Based Encryption. IJSRD : international journal for scientific research and development. 3(2). 2016–2020. 5 indexed citations
19.
Neelakandan, S., et al.. (2011). Efficient Multicasting in MANET Using RSGM Technique. 3(6). 451–456. 1 indexed citations
20.
Neelakandan, S., et al.. (2011). An Efficient Cache Consistency Scheme in Mobile Networks. 3(9). 604–609. 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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