P. Ganesan

1.4k total citations
69 papers, 856 citations indexed

About

P. Ganesan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, P. Ganesan has authored 69 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 24 papers in Media Technology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in P. Ganesan's work include Remote-Sensing Image Classification (18 papers), Image Retrieval and Classification Techniques (10 papers) and Remote Sensing and Land Use (9 papers). P. Ganesan is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Image Retrieval and Classification Techniques (10 papers) and Remote Sensing and Land Use (9 papers). P. Ganesan collaborates with scholars based in India, United Kingdom and Malaysia. P. Ganesan's co-authors include V. Rajini, B. S. Sathish, Khamar Basha Shaik, V. Kalist, G. Sajiv, S. He, Heping Xu, Immanuel Rajkumar, L. Megalan Leo and K. Vasanth and has published in prestigious journals such as IEEE Access, Annals of Biomedical Engineering and Computer Methods and Programs in Biomedicine.

In The Last Decade

P. Ganesan

58 papers receiving 798 citations

Peers

P. Ganesan

CVPR

MT

AI

RNMI

PS

Chirag Patel India

Baihua Li United Kingdom

Diganta Misra India

Jules‐Raymond Tapamo South Africa

Xiaoguang Li China

Nameirakpam Dhanachandra India

Yasser Baleghi Iran

Ganbayar Batchuluun South Korea

Qijie Zhao China

Meng Zhao China

Chirag Patel India

P. Ganesan

370 ×1.1

CVPR

81 ×0.5

MT

255 ×2.9

AI

120 ×1.4

RNMI

45 ×0.5

PS

Citations per year, relative to P. Ganesan P. Ganesan (= 1×) peers Chirag Patel

Countries citing papers authored by P. Ganesan

Since Specialization

Citations

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

Fields of papers citing papers by P. Ganesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Joseph, L. M. I. Leo, et al.. (2025). A Comprehensive Machine Learning Approach for Wild Fire Detection and Classification Using Squeezenet and Ridge Regularized Logistic Regression. 1–6.

2.

Ganesan, P., et al.. (2024). An Efficient Chrominance Based Detection and Segmentation of Rotten Pyrus Malus Using a Cooperative Approach of Hill Climbing Optimization and Modified FCM Clustering. 380–385.

3.

Joseph, L. M. I. Leo, et al.. (2024). The Design and Implementation of NodeMCU Based Smart Shoe for Woman Safety. 675–679.

4.

Abhishek, Anand, et al.. (2024). Exploring State-of-the-Art Methods in Mastering Digital Signal Processing through Blended Learning. 1–9.

5.

Sathish, B. S., et al.. (2023). An Effectual Methodology to Objective Quality Assessment for Noisy and Compressed Images Using Full and Blind Reference Quality Metrics. 1–6.

6.

Ganesan, P., et al.. (2023). Comparative Study of Implementation of Very Deep Super Resolution Neural Network and Bicubic Interpolation for Single Image Super Resolution Quality Enhancement. 1–7. 2 indexed citations

7.

Ganesan, P., et al.. (2023). A Simple Approach to Analyze and Evaluate Image Segmentation Methods Based on Image Quality Metrics. 1–5. 1 indexed citations

8.

Ganesan, P., et al.. (2021). Revisiting the Utility of Transmission Gate and Passtransistor Logic Styles in CMOS VLSI Design. 276–280. 4 indexed citations

9.

Ganesan, P., et al.. (2021). Parking Tracking System Using Raspberry Pi. 935–940. 3 indexed citations

10.

Ganesan, P., et al.. (2019). Synthetic Fiber Image Segmentation using a Cooperative System of Local Hill Climbing Optimization and K-Means Clustering. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 2512–2515. 1 indexed citations

11.

Ganesan, P., et al.. (2019). A Comprehensive Review of the Impact of Color Space on Image Segmentation. 962–967. 9 indexed citations

12.

Sathish, B. S., Radha Murugesan, L. M. I. Leo Joseph, V. Kalist, & P. Ganesan. (2019). Central Retinal Artery Occlusion: The Identification and Segmentation of Retinal Blood Vessels. Research Journal of Pharmacy and Technology. 12(10). 5011–5011.

13.

Kanna, P. Rajesh, et al.. (2017). A numerical simulation on the flow field and the heat transfer of water jet impingement on a solid block. International Journal of Computer Aided Engineering and Technology. 10(1/2). 76–76. 1 indexed citations

14.

Nizamuddin, Sabzoi, N.S. Jayakumar, J.N. Sahu, et al.. (2015). An optimisation study for catalytic hydrolysis of oil palm shell using response surface methodology. The University of Malaya Research Repository (University of Malaya). 12 indexed citations

15.

Ganesan, P.. (2015). Detection and segmentation of oil slick environment hazards in ocean using modified K-means clustering. 2 indexed citations

16.

Ganesan, P. & V. Rajini. (2013). Application of Modified K-Means Clustering Algorithm for Satellite Image Segmentation based on Color Information. International Journal of Advanced Research in Computer Science. 4(5). 1 indexed citations

17.

Ganesan, P., S. He, & Heping Xu. (2011). Development of an image-based model for capillary vasculature of retina. Computer Methods and Programs in Biomedicine. 102(1). 35–46. 19 indexed citations

18.

Ganesan, P., S. He, & Heping Xu. (2010). Development of an Image-Based Network Model of Retinal Vasculature. Annals of Biomedical Engineering. 38(4). 1566–1585. 31 indexed citations

19.

Ganesan, P. & V. Rajini. (2010). A method to segment color images based on modified Fuzzy-Possibilistic-C-Means clustering algorithm. 157–163. 18 indexed citations

20.

Kannan, Ramesh, et al.. (1984). STEADY HEAT CONDUCTION OF A DISC WITH NON-HOMOGENEITY AND VARIABLE THICKNESS. Applied Mathematics and Mechanics. 5(5). 1588–1593. 2 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.

Explore authors with similar magnitude of impact