T. Veerakumar

1.4k total citations · 1 hit paper
63 papers, 952 citations indexed

About

T. Veerakumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, T. Veerakumar has authored 63 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 27 papers in Media Technology and 7 papers in Signal Processing. Recurrent topics in T. Veerakumar's work include Image and Signal Denoising Methods (22 papers), Advanced Image Fusion Techniques (19 papers) and Video Surveillance and Tracking Methods (13 papers). T. Veerakumar is often cited by papers focused on Image and Signal Denoising Methods (22 papers), Advanced Image Fusion Techniques (19 papers) and Video Surveillance and Tracking Methods (13 papers). T. Veerakumar collaborates with scholars based in India, United Kingdom and France. T. Veerakumar's co-authors include S. Esakkirajan, Badri Narayan Subudhi, Vinit Jakhetiya, Santanu Chaudhury, Ashish Ghosh, Manoj Singh Gaur, Vijay Laxmi, Akhilesh Sharma, Shivnarayan Patidar and John J. Soraghan 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

T. Veerakumar

58 papers receiving 860 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
T. Veerakumar India 15 755 387 133 98 54 63 952
Huaibo Huang China 16 983 1.3× 237 0.6× 137 1.0× 152 1.6× 25 0.5× 66 1.2k
Huihui Bai China 18 988 1.3× 290 0.7× 285 2.1× 90 0.9× 71 1.3× 126 1.2k
Cuihua Li China 19 921 1.2× 327 0.8× 52 0.4× 182 1.9× 91 1.7× 96 1.4k
M. Petrou United Kingdom 15 866 1.1× 197 0.5× 82 0.6× 153 1.6× 65 1.2× 69 1.1k
Jinjin Gu China 16 1.5k 2.0× 496 1.3× 61 0.5× 194 2.0× 68 1.3× 33 1.8k
Taiping Zhang China 17 818 1.1× 550 1.4× 117 0.9× 286 2.9× 72 1.3× 68 1.3k
Shangchen Zhou Singapore 15 1.1k 1.4× 257 0.7× 55 0.4× 100 1.0× 24 0.4× 36 1.2k
Ruxin Wang China 16 851 1.1× 470 1.2× 42 0.3× 199 2.0× 70 1.3× 46 1.1k
Liangbin Xie China 7 863 1.1× 317 0.8× 30 0.2× 93 0.9× 48 0.9× 16 1.1k
Mei Yu China 24 1.6k 2.1× 544 1.4× 403 3.0× 53 0.5× 114 2.1× 162 1.8k

Countries citing papers authored by T. Veerakumar

Since Specialization
Citations

This map shows the geographic impact of T. Veerakumar'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 T. Veerakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Veerakumar more than expected).

Fields of papers citing papers by T. Veerakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Veerakumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Veerakumar. A scholar is included among the top collaborators of T. Veerakumar 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 T. Veerakumar. T. Veerakumar 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.
Veerakumar, T., et al.. (2025). Dual-mode reconfigurable dopingless transistor: A novel device structure. Micro and Nanostructures. 199. 208065–208065. 1 indexed citations
2.
Veerakumar, T., et al.. (2025). Extruded source gate TFET for completely suppressed ambipolar current. Micro and Nanostructures. 204. 208142–208142.
3.
Subudhi, Badri Narayan, et al.. (2024). Underwater visual surveillance: A comprehensive survey. Ocean Engineering. 309. 118367–118367. 14 indexed citations
4.
Esakkirajan, S., T. Veerakumar, & Badri Narayan Subudhi. (2024). Digital Signal Processing. 1 indexed citations
5.
Subudhi, Badri Narayan, et al.. (2024). A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes. IEEE Transactions on Information Forensics and Security. 19. 7968–7981.
6.
Veerakumar, T., et al.. (2023). Bayesian’s probabilistic strategy for feature fusion from visible and infrared images. The Visual Computer. 40(6). 4221–4233. 12 indexed citations
7.
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
8.
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
9.
Subudhi, Badri Narayan, et al.. (2022). Integration of Bi-dimensional Empirical Mode Decomposition With Two Streams Deep Learning Network for Infrared and Visible Image Fusion. 2022 30th European Signal Processing Conference (EUSIPCO). 493–497. 5 indexed citations
10.
Subudhi, Badri Narayan, et al.. (2019). Multi-Feature Fusion in Particle Filter Framework for Visual Tracking. IEEE Sensors Journal. 20(5). 2405–2415. 38 indexed citations
11.
Subudhi, Badri Narayan, et al.. (2019). Walsh–Hadamard-Kernel-Based Features in Particle Filter Framework for Underwater Object Tracking. IEEE Transactions on Industrial Informatics. 16(9). 5712–5722. 22 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
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
17.
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
18.
Esakkirajan, S., et al.. (2008). Image Compression using Adaptive Wavelet Packet and Multistage Vector Quantization. 11. 1–4. 3 indexed citations
19.
Esakkirajan, S., et al.. (2008). Image Compression Using Multiwavelet And Multi-Stage Vector Quantization. Zenodo (CERN European Organization for Nuclear Research). 2(12). 2750–2757. 8 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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