S. Esakkirajan

1.4k total citations · 1 hit paper
51 papers, 943 citations indexed

About

S. Esakkirajan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, S. Esakkirajan has authored 51 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 8 papers in Signal Processing. Recurrent topics in S. Esakkirajan's work include Image and Signal Denoising Methods (25 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Data Compression Techniques (9 papers). S. Esakkirajan is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Data Compression Techniques (9 papers). S. Esakkirajan collaborates with scholars based in India, France and Indonesia. S. Esakkirajan's co-authors include T. Veerakumar, Badri Narayan Subudhi, S. Sumathi, Ashish Ghosh, Ram Bilas Pachori, K. Selvakumar, Vinit Jakhetiya, R. Sudhakar, N. Malmurugan and N. Deepa and has published in prestigious journals such as Expert Systems with Applications, International Journal of Remote Sensing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

S. Esakkirajan

47 papers receiving 839 citations

Hit Papers

Removal of High Density Salt and Pepper Noise Through Mod... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Esakkirajan India 14 661 359 150 83 80 51 943
Xuanjing Shen China 17 884 1.3× 389 1.1× 41 0.3× 194 2.3× 53 0.7× 103 1.2k
Sanjoy Das India 18 462 0.7× 210 0.6× 17 0.1× 312 3.8× 68 0.8× 58 947
Zhengguang Xu China 14 370 0.6× 106 0.3× 103 0.7× 102 1.2× 15 0.2× 59 831
Xuyu Xiang China 24 1.1k 1.7× 149 0.4× 83 0.6× 267 3.2× 53 0.7× 94 1.6k
J.‐G. Postaire France 14 396 0.6× 133 0.4× 52 0.3× 157 1.9× 14 0.2× 73 609
Jyoti Singhai India 12 299 0.5× 151 0.4× 32 0.2× 60 0.7× 17 0.2× 61 628
Jorge Gálvez Mexico 17 374 0.6× 145 0.4× 21 0.1× 474 5.7× 62 0.8× 46 992
Swarnajit Ray India 16 380 0.6× 124 0.3× 19 0.1× 388 4.7× 65 0.8× 27 752
Navin Rajpal India 16 464 0.7× 103 0.3× 78 0.5× 123 1.5× 7 0.1× 87 783
Muhammad Mateen China 11 263 0.4× 41 0.1× 19 0.1× 214 2.6× 497 6.2× 20 1.0k

Countries citing papers authored by S. Esakkirajan

Since Specialization
Citations

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

Fields of papers citing papers by S. Esakkirajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Esakkirajan. A scholar is included among the top collaborators of S. Esakkirajan 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. Esakkirajan. S. Esakkirajan 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.
Hema, M., et al.. (2025). A hierarchical transformer network with label attention for personality prediction by MBTI classification. Applied Soft Computing. 178. 113267–113267.
3.
Esakkirajan, S., T. Veerakumar, & Badri Narayan Subudhi. (2024). Digital Signal Processing. 1 indexed citations
4.
Veerakumar, T., et al.. (2023). Segmentation of gastric cancer from microscopic biopsy images using deep learning approach. Biomedical Signal Processing and Control. 86. 105250–105250. 3 indexed citations
5.
Veerakumar, T., et al.. (2022). Segmentation and counting of multiple myeloma cells using IEMD based deep neural network. Leukemia Research. 122. 106950–106950. 6 indexed citations
6.
Esakkirajan, S., et al.. (2020). Design of disease prediction method based on whale optimization employed artificial neural network in tomato fruits. Materials Today Proceedings. 33. 4907–4918. 12 indexed citations
7.
Subudhi, Badri Narayan, T. Veerakumar, S. Esakkirajan, & Ashish Ghosh. (2019). Kernelized Fuzzy Modal Variation for Local Change Detection From Video Scenes. IEEE Transactions on Multimedia. 22(4). 912–920. 17 indexed citations
8.
Esakkirajan, S., et al.. (2019). Computer‐aided diagnosis of retinal diseases using multidomain feature fusion. International Journal of Imaging Systems and Technology. 30(2). 367–379. 12 indexed citations
9.
Veerakumar, T., et al.. (2017). Context model based edge preservation filter for impulse noise removal. Expert Systems with Applications. 88. 29–44. 13 indexed citations
10.
Veerakumar, T., et al.. (2016). Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation. Circuits Systems and Signal Processing. 36(3). 1192–1223. 15 indexed citations
11.
Subudhi, Badri Narayan, T. Veerakumar, S. Esakkirajan, & Ashish Ghosh. (2016). Tumor or abnormality identification from magnetic resonance images using statistical region fusion based segmentation. Magnetic Resonance Imaging. 34(9). 1292–1304. 20 indexed citations
12.
Veerakumar, T., et al.. (2013). Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise. Signal Image and Video Processing. 8(1). 159–168. 26 indexed citations
13.
Veerakumar, T., et al.. (2012). Combined fuzzy logic and unsymmetric trimmed median filter approach for the removal of high density impulse noise. 8(1). 32–42. 4 indexed citations
14.
Veerakumar, T., et al.. (2012). An efficient approach to remove random valued impulse noise in images. 2308. 49–53. 5 indexed citations
15.
Esakkirajan, S., et al.. (2009). Video Compression Using Multiwavelet and Multistage Vector Quantization. The International Arab Journal of Information Technology. 6. 385–393. 7 indexed citations
16.
Esakkirajan, S., et al.. (2009). Adaptive vector quantization based video compression scheme. 40–43. 3 indexed citations
17.
Esakkirajan, S., et al.. (2008). Image Compression using Adaptive Wavelet Packet and Multistage Vector Quantization. 11. 1–4. 3 indexed citations
18.
Esakkirajan, S., et al.. (2008). Image Compression Using Hybrid Vector Quantization. International Journal of Electrical and Computer Engineering (IJECE). 2(11). 2531–2538. 2 indexed citations
19.
Sumathi, S. & S. Esakkirajan. (2007). Fundamentals of Relational Database Management Systems (Studies in Computational Intelligence). Springer eBooks. 4 indexed citations
20.
Veerakumar, T., et al.. (2007). Fingerprint Compression Using Contourlet Transform and Self Organizing Feature Map. 6(2). 133–140.

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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