Jyotir Moy Chatterjee

3.9k total citations · 3 hit papers
68 papers, 2.2k citations indexed

About

Jyotir Moy Chatterjee is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jyotir Moy Chatterjee has authored 68 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Jyotir Moy Chatterjee's work include COVID-19 diagnosis using AI (7 papers), Smart Agriculture and AI (5 papers) and Blockchain Technology Applications and Security (5 papers). Jyotir Moy Chatterjee is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Smart Agriculture and AI (5 papers) and Blockchain Technology Applications and Security (5 papers). Jyotir Moy Chatterjee collaborates with scholars based in India, Vietnam and United States. Jyotir Moy Chatterjee's co-authors include R. Sujatha, N. Z. Jhanjhi, Sarfraz Nawaz Brohi, Vishal Jain, Aboul Ella Hassanien, Meenakshi Sharma, Abhishek Kumar, Manju Khari, P Swetha and Ohyun Jo and has published in prestigious journals such as Scientific Reports, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Jyotir Moy Chatterjee

63 papers receiving 2.0k citations

Hit Papers

Performance of deep learning vs machine learning in plant... 2020 2026 2022 2024 2020 2020 2021 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
Jyotir Moy Chatterjee India 19 590 430 422 279 222 68 2.2k
Kalpna Guleria India 20 426 0.7× 318 0.7× 386 0.9× 170 0.6× 492 2.2× 156 1.9k
Mamta Mittal India 28 1.0k 1.7× 360 0.8× 162 0.4× 709 2.5× 269 1.2× 109 3.2k
Yogesh Kumar India 27 683 1.2× 290 0.7× 159 0.4× 332 1.2× 272 1.2× 130 2.0k
R. Manikandan India 27 687 1.2× 328 0.8× 128 0.3× 327 1.2× 585 2.6× 148 2.2k
Mahmoud Y. Shams Egypt 26 529 0.9× 241 0.6× 179 0.4× 252 0.9× 93 0.4× 70 1.7k
Parvathaneni Naga Srinivasu India 21 673 1.1× 274 0.6× 138 0.3× 385 1.4× 168 0.8× 56 1.8k
Marwa M. Eid Egypt 28 914 1.5× 263 0.6× 130 0.3× 352 1.3× 134 0.6× 153 2.6k
Saad Alanazi Saudi Arabia 20 376 0.6× 165 0.4× 135 0.3× 145 0.5× 174 0.8× 84 1.1k
Mabrook Al‐Rakhami Saudi Arabia 28 628 1.1× 174 0.4× 144 0.3× 247 0.9× 549 2.5× 75 2.2k
Hafiz Tayyab Rauf United Kingdom 35 1.0k 1.7× 620 1.4× 462 1.1× 494 1.8× 266 1.2× 121 2.9k

Countries citing papers authored by Jyotir Moy Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Jyotir Moy Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyotir Moy Chatterjee. 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 Jyotir Moy Chatterjee. The network helps show where Jyotir Moy Chatterjee may publish in the future.

Co-authorship network of co-authors of Jyotir Moy Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Jyotir Moy Chatterjee. A scholar is included among the top collaborators of Jyotir Moy Chatterjee 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 Jyotir Moy Chatterjee. Jyotir Moy Chatterjee 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.
Rath, Mamata & Jyotir Moy Chatterjee. (2025). Strength Optimized Weight Balancing for Traffic Management in Vehicular Ad-hoc Networks. 20(1). 1–19.
2.
Jain, Sachin, Vishal Jain, & Jyotir Moy Chatterjee. (2025). Ensemble based brain tumor classification technique from MRI based on K fold validation approach. 13(5). 1114–1114. 1 indexed citations
3.
Gill, Nasib Singh, et al.. (2024). Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems. IEEE Transactions on Big Data. 11(1). 35–46. 11 indexed citations
4.
Rathipriya, R., et al.. (2024). Cancer data analysis using competitive ensemble machine learning techniques. Health and Technology. 14(4). 753–764. 2 indexed citations
5.
Chatterjee, Jyotir Moy, et al.. (2023). An optimized handwritten polynomial equations solver using an enhanced inception V4 model. Multimedia Tools and Applications. 83(17). 50691–50710. 2 indexed citations
6.
Kannadhasan, S., et al.. (2023). Polarization Stable Triband Thin Square-Shaped Metamaterial Absorber. International Journal of Antennas and Propagation. 2023. 1–9. 7 indexed citations
7.
Chatterjee, Jyotir Moy, et al.. (2022). Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models. Computational Intelligence and Neuroscience. 2022. 1–12. 11 indexed citations
8.
Gulia, Preeti, et al.. (2022). Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare. Mathematical Problems in Engineering. 2022. 1–12. 5 indexed citations
9.
Gulia, Preeti, et al.. (2022). Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid. Complexity. 2022(1). 18 indexed citations
10.
Sujatha, R., et al.. (2022). Self-organizing Maps and Bayesian Regularized Neural Network for Analyzing Gasoline and Diesel Price Drifts. International Journal of Computational Intelligence Systems. 15(1). 5 indexed citations
11.
Chatterjee, Jyotir Moy, et al.. (2022). Wheat Seed Classification: Utilizing Ensemble Machine Learning Approach. Scientific Programming. 2022. 1–9. 33 indexed citations
12.
Chatterjee, Jyotir Moy, et al.. (2022). Optimized face-emotion learning using convolutional neural network and binary whale optimization. Multimedia Tools and Applications. 82(13). 19945–19968. 5 indexed citations
13.
Gill, Nasib Singh, et al.. (2022). An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things. Computational Intelligence and Neuroscience. 2022. 1–16. 22 indexed citations
14.
Rathore, Pramod Singh, Jyotir Moy Chatterjee, Abhishek Kumar, & R. Sujatha. (2021). Energy-efficient cluster head selection through relay approach for WSN. The Journal of Supercomputing. 77(7). 7649–7675. 76 indexed citations
15.
Sujatha, R., et al.. (2021). A Bayesian Regularized Neural Network for Analyzing Bitcoin Trends. IEEE Access. 9. 37989–38000. 21 indexed citations
16.
Chatterjee, Jyotir Moy, et al.. (2020). A machine learning forecasting model for COVID-19 pandemic in India. Stochastic Environmental Research and Risk Assessment. 34(7). 959–972. 202 indexed citations
17.
Kumar, Abhishek, Jyotir Moy Chatterjee, & Pramod Singh Rathore. (2020). Smartphone Confrontational Applications and Security Issues. RePEc: Research Papers in Economics. 9(2). 1–18. 1 indexed citations
18.
Sơn, Lê Hoàng, et al.. (2019). Governing mobile Virtual Network Operators in developing countries. Utilities Policy. 56. 169–180. 13 indexed citations
19.
Chatterjee, Jyotir Moy, et al.. (2019). QoS Priorities in ERP Implementation – A Study of Manufacturing Industry of Nepal. Oriental journal of computer science and technology. 12(4). 168–184. 1 indexed citations
20.
Nguyen, Vu, Binh Thai Pham, Indra Prakash, et al.. (2019). Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling. Forests. 10(2). 157–157. 134 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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