Ramakrishnan Mukundan

4.0k total citations · 1 hit paper
103 papers, 2.8k citations indexed

About

Ramakrishnan Mukundan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ramakrishnan Mukundan has authored 103 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 14 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ramakrishnan Mukundan's work include Image Retrieval and Classification Techniques (34 papers), Medical Image Segmentation Techniques (26 papers) and Advanced Image and Video Retrieval Techniques (25 papers). Ramakrishnan Mukundan is often cited by papers focused on Image Retrieval and Classification Techniques (34 papers), Medical Image Segmentation Techniques (26 papers) and Advanced Image and Video Retrieval Techniques (25 papers). Ramakrishnan Mukundan collaborates with scholars based in New Zealand, Malaysia and India. Ramakrishnan Mukundan's co-authors include S. H. Ong, Raveendran Paramesran, Chee-Way Chong, K.R. Ramakrishnan, K.R. Ramakrishnan, Chong‐Yaw Wee, Wissam A. Jassim, Nur Azman Abu, Nanna Suryana and Xudong Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Ramakrishnan Mukundan

93 papers receiving 2.5k citations

Hit Papers

Image analysis by Tchebichef moments 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image analysis by Tchebichef moments
    2001 704 citations Ramakrishnan Mukundan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramakrishnan Mukundan New Zealand 22 2.2k 437 329 301 158 103 2.8k
Thrasyvoulos N. Pappas United States 28 2.0k 0.9× 431 1.0× 547 1.7× 279 0.9× 68 0.4× 154 3.2k
Β.N. Chatterji India 22 2.4k 1.1× 651 1.5× 227 0.7× 361 1.2× 146 0.9× 104 3.4k
Yu‐Jin Zhang China 23 1.7k 0.8× 396 0.9× 236 0.7× 563 1.9× 133 0.8× 143 2.6k
Nikolaos Galatsanos Greece 20 1.0k 0.5× 382 0.9× 302 0.9× 496 1.6× 142 0.9× 53 2.0k
Georgios Tziritas Greece 26 2.2k 1.0× 332 0.8× 372 1.1× 480 1.6× 151 1.0× 73 2.9k
Shahram Shirani Canada 25 1.6k 0.7× 590 1.4× 521 1.6× 206 0.7× 315 2.0× 177 2.4k
Raveendran Paramesran Malaysia 33 2.5k 1.2× 772 1.8× 422 1.3× 435 1.4× 354 2.2× 173 3.8k
Lina J. Karam United States 30 2.7k 1.3× 1.0k 2.4× 674 2.0× 255 0.8× 185 1.2× 193 3.8k
Jie Li China 33 1.9k 0.9× 498 1.1× 374 1.1× 392 1.3× 363 2.3× 177 3.5k
H.J.A.M. Heijmans Netherlands 27 2.3k 1.1× 1.0k 2.3× 213 0.6× 216 0.7× 146 0.9× 103 3.5k

Countries citing papers authored by Ramakrishnan Mukundan

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishnan Mukundan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishnan Mukundan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishnan Mukundan. A scholar is included among the top collaborators of Ramakrishnan Mukundan 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 Ramakrishnan Mukundan. Ramakrishnan Mukundan 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.
Davidson, Andrew R., George A. R. Wiggins, Logan C. Walker, et al.. (2024). Deep Learning Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue. Journal of Imaging Informatics in Medicine. 38(3). 1704–1721. 1 indexed citations
2.
3.
Mukundan, Ramakrishnan, et al.. (2019). Feature Enhancement in Medical Ultrasound Videos Using Multifractal and Contrast Adaptive Histogram Equalization Techniques. University of Canterbury Research Repository (University of Canterbury). 240–245. 3 indexed citations
4.
Mukundan, Ramakrishnan, et al.. (2019). Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization. Journal of Digital Imaging. 33(1). 273–285. 55 indexed citations
5.
Mukundan, Ramakrishnan. (2019). Analysis of Image Feature Characteristics for Automated Scoring of HER2 in Histology Slides. Journal of Imaging. 5(3). 35–35. 24 indexed citations
6.
Mukundan, Ramakrishnan, et al.. (2018). Segmentation of Substantia Nigra Using Weighted Thresholding Method. 1–6.
7.
Mukundan, Ramakrishnan, et al.. (2018). A Robust HER2 Neural Network Classification Algorithm Using Biomarker-Specific Feature Descriptors. 1–5. 9 indexed citations
8.
Mukundan, Ramakrishnan, et al.. (2018). A Comparative Analysis of Clustering Algorithms for Ultrasound Image Despeckling Applications. 2. 51–56. 1 indexed citations
9.
10.
Mukundan, Ramakrishnan, et al.. (2017). Quality analysis of synthetic ultrasound images using co-occurrence texture statistics. 1–6. 3 indexed citations
11.
Mukundan, Ramakrishnan. (2015). A NUMERICAL APPROXIMATION OF TWO DIMENSIONAL IMAGE MOMENTS. SHILAP Revista de lepidopterología.
12.
Mukundan, Ramakrishnan, et al.. (2015). Analysis of scale variations of local features for accurate classification of Emphysema images. 6–13. 3 indexed citations
13.
Obaid, Mohammad, Ramakrishnan Mukundan, Mark Billinghurst, & Mark Sagar. (2009). Facial Expression Representation Using a Quadratic Deformation Model. 44–49. 6 indexed citations
14.
Obaid, Mohammad, et al.. (2009). Facial caricature generation using a quadratic deformation model. 3. 285–288. 6 indexed citations
15.
Mukundan, Ramakrishnan, et al.. (2007). A Fast 4 $\times$ 4 Forward Discrete Tchebichef Transform Algorithm. IEEE Signal Processing Letters. 14(10). 684–687. 53 indexed citations
16.
Mukundan, Ramakrishnan. (2003). IMPROVING IMAGE RECONSTRUCTION ACCURACY USING DISCRETE ORTHONORMAL MOMENTS. University of Canterbury Research Repository (University of Canterbury). 287–293. 21 indexed citations
17.
Chong, Chee-Way, Ramakrishnan Mukundan, & Raveendran Paramesran. (2002). An Efficient Algorithm for Fast Computation of Zernike Moments. 785–788. 9 indexed citations
18.
Mukundan, Ramakrishnan, et al.. (2002). Stereo image analysis: A new approach using orthogonal moments. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 3 indexed citations
19.
Mukundan, Ramakrishnan. (1999). Teaching computer graphics using Java. ACM SIGCSE Bulletin. 31(4). 66–69. 1 indexed citations
20.
Mukundan, Ramakrishnan. (1986). An edge oriented algorithm for the evaluation of projected surface parameters. Computers & Graphics. 10(1). 1–5. 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.

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