Sudarshan Nandy

480 total citations
19 papers, 279 citations indexed

About

Sudarshan Nandy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sudarshan Nandy has authored 19 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Sudarshan Nandy's work include IoT and Edge/Fog Computing (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Neural Networks and Applications (3 papers). Sudarshan Nandy is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Neural Networks and Applications (3 papers). Sudarshan Nandy collaborates with scholars based in India, Estonia and Australia. Sudarshan Nandy's co-authors include Mainak Adhikari, Tarachand Amgoth, Varun G. Menon, Xingwang Li, Muhammad Zakarya, Venki Balasubramanian, Abhishek Hazra, Partha Sarkar, Achintya Das and Ahmed Alkhayyat and has published in prestigious journals such as IEEE Internet of Things Journal, Future Generation Computer Systems and IEEE Sensors Journal.

In The Last Decade

Sudarshan Nandy

18 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudarshan Nandy India 10 118 93 86 75 40 19 279
Jingwen Zhou Australia 8 92 0.8× 72 0.8× 66 0.8× 21 0.3× 18 0.5× 15 271
Yar Muhammad Pakistan 5 35 0.3× 56 0.6× 107 1.2× 114 1.5× 80 2.0× 9 285
K. Srinivas India 7 28 0.2× 59 0.6× 87 1.0× 107 1.4× 16 0.4× 23 246
Mohammed Amine Chikh Algeria 10 32 0.3× 60 0.6× 138 1.6× 36 0.5× 46 1.1× 34 279
Najeeb Ullah Pakistan 8 44 0.4× 85 0.9× 60 0.7× 75 1.0× 47 1.2× 26 284
Kailas Devadkar India 6 92 0.8× 75 0.8× 141 1.6× 166 2.2× 39 1.0× 30 349
Sallauddin Mohmmad India 7 42 0.4× 44 0.5× 51 0.6× 53 0.7× 19 0.5× 37 221
K. Saruladha India 8 38 0.3× 50 0.5× 127 1.5× 68 0.9× 31 0.8× 26 249
Osama R. Shahin Saudi Arabia 11 35 0.3× 37 0.4× 87 1.0× 26 0.3× 54 1.4× 31 270
Priti Chandra India 6 24 0.2× 103 1.1× 218 2.5× 239 3.2× 35 0.9× 7 393

Countries citing papers authored by Sudarshan Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Sudarshan Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudarshan Nandy

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

All Works

19 of 19 papers shown
1.
Nandy, Sudarshan, et al.. (2023). Nanorobot-Based Intelligent Symptoms Analysis and Recommendation Framework in Edge Networks. IEEE Journal of Biomedical and Health Informatics. 30(1). 73–80. 4 indexed citations
2.
Nandy, Sudarshan, Mainak Adhikari, Arunava Ray, Rajesh Rai, & T. N. Singh. (2023). Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope. IEEE Internet of Things Journal. 11(3). 3832–3839. 5 indexed citations
3.
Hazra, Abhishek, et al.. (2022). Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services. IEEE Network. 36(3). 56–64. 18 indexed citations
4.
Nandy, Sudarshan, et al.. (2022). Analysis of Communicable Disease Symptoms Using Bag-of-Neural Network at Edge Networks. IEEE Sensors Journal. 23(2). 914–921. 13 indexed citations
5.
Adhikari, Mainak, Abhishek Hazra, & Sudarshan Nandy. (2022). Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(4). 2468–2479. 9 indexed citations
6.
Nandy, Sudarshan, et al.. (2022). IBoNN: Intelligent Agent-based Internet of Medical Things framework for detecting brain response from Electroencephalography signal using Bag-of-Neural Network. Future Generation Computer Systems. 130. 241–252. 13 indexed citations
7.
Nandy, Sudarshan & Mainak Adhikari. (2021). Intelligent Health Monitoring System for Detection of Symptomatic/Asymptomatic COVID-19 Patient. IEEE Sensors Journal. 21(18). 20504–20511. 15 indexed citations
8.
Nandy, Sudarshan, Mainak Adhikari, Venki Balasubramanian, et al.. (2021). An intelligent heart disease prediction system based on swarm-artificial neural network. Neural Computing and Applications. 35(20). 14723–14737. 83 indexed citations
9.
Nandy, Sudarshan, et al.. (2021). Sustainable task scheduling strategy in cloudlets. Sustainable Computing Informatics and Systems. 30. 100513–100513. 10 indexed citations
10.
Nandy, Sudarshan, et al.. (2020). 6 Early detection of crop diseases using machine Learning based intelligent techniques: a review. 115–130. 1 indexed citations
11.
Nandy, Sudarshan, et al.. (2020). Study of PSO and Firefly algorithm based Feed-forward neural network training algorithms. 5792. 908–913. 6 indexed citations
12.
Bhattacharyya, Siddhartha, Rik Das, & Sudarshan Nandy. (2020). Machine Learning Applications. 2 indexed citations
13.
Adhikari, Mainak, Sudarshan Nandy, & Tarachand Amgoth. (2018). Meta heuristic-based task deployment mechanism for load balancing in IaaS cloud. Journal of Network and Computer Applications. 128. 64–77. 65 indexed citations
14.
15.
Nandy, Sudarshan, Xin‐She Yang, Partha Sarkar, & Achintya Das. (2015). Color Image Segmentation By Cuckoo Search. Intelligent Automation & Soft Computing. 21(4). 673–685. 10 indexed citations
16.
Nandi, Sourav, et al.. (2014). Prediction of resonant frequency of a circular patch frequency selective structure using artificial neural network. Indian Journal of Physics. 88(4). 397–403. 5 indexed citations
17.
Nandy, Sudarshan, et al.. (2012). Agent based adaptive firefly back-propagation neural network training method for dynamic systems. 449–454. 5 indexed citations
18.
Nandy, Sudarshan, Partha Sarkar, & Achintya Das. (2012). Analysis of a Nature Inspired Firefly Algorithm based Back-propagation Neural Network Training. 43(22). 8–16. 10 indexed citations
19.
Mukhopadhyay, Debajyoti, et al.. (2007). An Algorithm for Hyper-Cube-Based Ontology Construction. 32. 283–288. 5 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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