P. Kumaresan

437 total citations
24 papers, 264 citations indexed

About

P. Kumaresan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, P. Kumaresan has authored 24 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in P. Kumaresan's work include Wireless Body Area Networks (4 papers), IoT and Edge/Fog Computing (3 papers) and Smart Agriculture and AI (3 papers). P. Kumaresan is often cited by papers focused on Wireless Body Area Networks (4 papers), IoT and Edge/Fog Computing (3 papers) and Smart Agriculture and AI (3 papers). P. Kumaresan collaborates with scholars based in India, France and Australia. P. Kumaresan's co-authors include Chiranji Lal Chowdhary, Mohit Mittal, Priyadarshini Adyasha Pattanaik, Muhammad Fazal Ijaz, Muhammad Attique, V. Ramesh, Prabukumar Manoharan, B. D. Parameshachari, Jaroslav Frnda and Latha Parthiban and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

P. Kumaresan

22 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kumaresan India 6 125 111 42 38 33 24 264
Kapil Kumar Nagwanshi India 7 80 0.6× 113 1.0× 24 0.6× 70 1.8× 35 1.1× 36 253
Rajesh Sharma R India 8 89 0.7× 57 0.5× 21 0.5× 80 2.1× 29 0.9× 42 274
Balajee Maram India 9 108 0.9× 109 1.0× 36 0.9× 78 2.1× 49 1.5× 65 334
Myasar Mundher Adnan Iraq 9 111 0.9× 71 0.6× 15 0.4× 19 0.5× 29 0.9× 78 258
A. Gacsádi Romania 8 144 1.2× 135 1.2× 23 0.5× 50 1.3× 57 1.7× 42 285
Amit Doegar India 11 138 1.1× 96 0.9× 14 0.3× 31 0.8× 76 2.3× 24 280
Thulasi Bikku India 8 48 0.4× 115 1.0× 30 0.7× 26 0.7× 27 0.8× 42 244
Saeed Ali Bahaj Saudi Arabia 10 83 0.7× 100 0.9× 22 0.5× 107 2.8× 34 1.0× 25 307
Nikhat Parveen India 9 70 0.6× 148 1.3× 49 1.2× 70 1.8× 74 2.2× 46 323

Countries citing papers authored by P. Kumaresan

Since Specialization
Citations

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

Fields of papers citing papers by P. Kumaresan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kumaresan

This figure shows the co-authorship network connecting the top 25 collaborators of P. Kumaresan. A scholar is included among the top collaborators of P. Kumaresan 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 P. Kumaresan. P. Kumaresan 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.
Parthiban, Latha & P. Kumaresan. (2025). Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization. Environmental Research Communications. 7(4). 45008–45008. 2 indexed citations
2.
Ramesh, V. & P. Kumaresan. (2025). Stacked ensemble model for accurate crop yield prediction using machine learning techniques. Environmental Research Communications. 7(3). 35006–35006. 4 indexed citations
3.
4.
Kumaresan, P., et al.. (2024). PrecisionLymphoNet: Advancing Malignant Lymphoma Diagnosis via Ensemble Transfer Learning with CNNs. Diagnostics. 14(5). 469–469. 7 indexed citations
5.
Kumaresan, P., et al.. (2024). Deep Learning and Transfer Learning in Cardiology: A Review of Cardiovascular Disease Prediction Models. IEEE Access. 12. 193365–193386. 2 indexed citations
6.
Ramesh, V. & P. Kumaresan. (2024). Crop Yield Predictive Model for Tamil Nadu Using Statistical Techniques. 1–9. 1 indexed citations
7.
Kumaresan, P., et al.. (2022). Dynamic resource provisioning and secured file sharing using virtualization in cloud azure. Journal of Cloud Computing Advances Systems and Applications. 11(1). 9 indexed citations
8.
Kumaresan, P., et al.. (2022). Innovative Supply Chain Management via Digitalization and Artificial Intelligence. Studies in systems, decision and control. 4 indexed citations
9.
Chowdhary, Chiranji Lal, et al.. (2021). An IoT and artificial intelligence-based patient care system focused on COVID-19 pandemic. International Journal of Networking and Virtual Organisations. 25(3/4). 232–232. 4 indexed citations
10.
Chowdhary, Chiranji Lal, et al.. (2020). Analytical Study of Hybrid Techniques for Image Encryption and Decryption. Sensors. 20(18). 5162–5162. 94 indexed citations
11.
Kumaresan, P., et al.. (2020). Heuristic approach to minimise the energy consumption of sensors in cloud environment for wireless body area network applications. International Journal of Embedded Systems. 12(4). 475–475. 2 indexed citations
12.
Kumaresan, P., et al.. (2020). Online Voting System using Cloud. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1–4. 23 indexed citations
13.
14.
Kumaresan, P., et al.. (2020). Heuristic approach to minimise the energy consumption of sensors in cloud environment for wireless body area network applications. International Journal of Embedded Systems. 12(4). 475–475. 2 indexed citations
15.
Kumaresan, P., et al.. (2020). Cloud Based Extensible Business Management Suite and Data Predictions. Recent Advances in Computer Science and Communications. 14(1). 208–215. 1 indexed citations
16.
Kumaresan, P., et al.. (2019). Time Series Forecasting of Price Volatility of Bivoltine Cocoons: An Application of GARCH Process and Artificial Neural Network. International Journal of Current Microbiology and Applied Sciences. 8(11). 840–850. 1 indexed citations
17.
Kumaresan, P. & Prabukumar Manoharan. (2018). Design and implementation of energy efficient reconfigurable networks (WORN-DEAR) for BAN in IOT environment (BIOT). International Journal of Reasoning-based Intelligent Systems. 10(3-4). 258–258. 1 indexed citations
18.
Kumaresan, P., et al.. (2018). Removing leaf petioles and auto locating apex-base points using straight line interpolation and bisection. Multimedia Tools and Applications. 79(7-8). 5355–5369. 3 indexed citations
19.
Kumaresan, P. & Prabukumar Manoharan. (2018). Design and implementation of energy efficient reconfigurable networks (WORN-DEAR) for BAN in IOT environment (BIOT). International Journal of Reasoning-based Intelligent Systems. 10(3/4). 258–258. 3 indexed citations
20.
Kumaresan, P., et al.. (2017). IoT based retail automation of fuel station and alert system. IOP Conference Series Materials Science and Engineering. 263. 42072–42072. 10 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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