Ramanathan Muthuganapathy

1.1k total citations
54 papers, 492 citations indexed

About

Ramanathan Muthuganapathy is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ramanathan Muthuganapathy has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Graphics and Computer-Aided Design, 26 papers in Computational Mechanics and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ramanathan Muthuganapathy's work include 3D Shape Modeling and Analysis (24 papers), Computational Geometry and Mesh Generation (23 papers) and Computer Graphics and Visualization Techniques (17 papers). Ramanathan Muthuganapathy is often cited by papers focused on 3D Shape Modeling and Analysis (24 papers), Computational Geometry and Mesh Generation (23 papers) and Computer Graphics and Visualization Techniques (17 papers). Ramanathan Muthuganapathy collaborates with scholars based in India, Australia and France. Ramanathan Muthuganapathy's co-authors include Jiju Peethambaran, Marimuthu Palaniswami, Bernard Yan, Shitanshu Kusmakar, Terence J. O’Brien, Chandan Karmakar, Gershon Elber, Iddo Hanniel, Myung-Soo Kim and Karthik Ramani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ramanathan Muthuganapathy

52 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramanathan Muthuganapathy India 14 196 185 145 96 71 54 492
Yiming Zeng China 10 93 0.5× 29 0.2× 77 0.5× 114 1.2× 61 0.9× 15 442
Gustavo Patow Spain 13 156 0.8× 283 1.5× 176 1.2× 48 0.5× 2 0.0× 72 523
Mohammad Shafiei Iran 4 136 0.7× 127 0.7× 806 5.6× 23 0.2× 7 0.1× 11 956
Sang Min Yoon South Korea 10 135 0.7× 44 0.2× 481 3.3× 17 0.2× 4 0.1× 50 608
Pengfei Xu China 13 118 0.6× 97 0.5× 311 2.1× 28 0.3× 41 513
Emiliano Gambaretto Italy 5 49 0.3× 162 0.9× 386 2.7× 8 0.1× 8 0.1× 9 494
Liuhao Ge Singapore 10 121 0.6× 13 0.1× 1.2k 8.1× 37 0.4× 12 0.2× 10 1.4k
Hiroyuki Ukida Japan 9 29 0.1× 54 0.3× 316 2.2× 10 0.1× 5 0.1× 62 451
Stefan Maierhofer Austria 10 68 0.3× 94 0.5× 170 1.2× 83 0.9× 34 380
Honghui Yang China 15 31 0.2× 8 0.0× 207 1.4× 175 1.8× 31 0.4× 30 912

Countries citing papers authored by Ramanathan Muthuganapathy

Since Specialization
Citations

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

Fields of papers citing papers by Ramanathan Muthuganapathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramanathan Muthuganapathy

This figure shows the co-authorship network connecting the top 25 collaborators of Ramanathan Muthuganapathy. A scholar is included among the top collaborators of Ramanathan Muthuganapathy 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 Ramanathan Muthuganapathy. Ramanathan Muthuganapathy 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.
Eisemann, Elmar, et al.. (2025). SpineLoft: Interactive Spine-based 2D-to-3D Modeling. SPIRE - Sciences Po Institutional REpository. 1–16.
2.
Jeyasehar, C. Antony, et al.. (2025). Learning-based geometric framework for noise discernment and denoising of 2D point sets. Computers & Graphics. 132. 104327–104327.
3.
Muthuganapathy, Ramanathan, et al.. (2025). OrthoCAD-322K: A cross-modal approach for retrieving 3D CAD models from orthographic views using a graph-based framework on a developed large-scale dataset. Computers & Graphics. 132. 104357–104357. 1 indexed citations
4.
Muthuganapathy, Ramanathan, et al.. (2025). De(l)Noise: A Delaunay based point cloud denoising algorithm. Computers & Graphics. 131. 104310–104310. 1 indexed citations
5.
Muthuganapathy, Ramanathan, et al.. (2024). SketchCleanGAN: A generative network to enhance and correct query sketches for improving 3D CAD model retrieval systems. Computers & Graphics. 123. 104000–104000. 1 indexed citations
6.
7.
Muthuganapathy, Ramanathan, et al.. (2022). A parallel algorithm for computing Voronoi diagram of a set of circles using touching disc and topology matching. Computer Aided Geometric Design. 94. 102079–102079. 2 indexed citations
8.
T, Mukund Varma, et al.. (2021). Point Transformer for Shape Classification and Retrieval of Urban Roof Point Clouds. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
9.
Muthuganapathy, Ramanathan, et al.. (2019). Roof Classification From 3-D LiDAR Point Clouds Using Multiview CNN With Self-Attention. IEEE Geoscience and Remote Sensing Letters. 17(8). 1465–1469. 19 indexed citations
10.
Muthuganapathy, Ramanathan, et al.. (2019). Autoencoder-based part clustering for part-in-whole retrieval of CAD models. Computers & Graphics. 81. 41–51. 13 indexed citations
11.
Kusmakar, Shitanshu, Chandan Karmakar, Bernard Yan, et al.. (2018). Automated Detection of Convulsive Seizures Using a Wearable Accelerometer Device. IEEE Transactions on Biomedical Engineering. 66(2). 421–432. 65 indexed citations
12.
Kusmakar, Shitanshu, Chandan Karmakar, Bernard Yan, et al.. (2018). Onset Detection of Epileptic Seizures From Accelerometry Signal. PubMed. 2018. 1–4. 5 indexed citations
13.
Muthuganapathy, Ramanathan, et al.. (2017). Sketch and shade. 1–2. 2 indexed citations
14.
Muthuganapathy, Ramanathan, et al.. (2017). Random cutting plane approach for identifying volumetric features in a CAD mesh model. Computers & Graphics. 70. 51–61. 4 indexed citations
15.
Muthuganapathy, Ramanathan, et al.. (2016). Design and development of a portable virtual reality headset. 1–4. 1 indexed citations
16.
Muthuganapathy, Ramanathan, et al.. (2016). Crawl through Neighbors: A Simple Curve Reconstruction Algorithm. Computer Graphics Forum. 35(5). 177–186. 13 indexed citations
17.
Peethambaran, Jiju, et al.. (2015). A Graph-based Geometric Approach to Contour Extraction from Noisy Binary Images. Computer-Aided Design and Applications. 12(4). 403–413. 4 indexed citations
18.
Peethambaran, Jiju, et al.. (2015). A Voronoi based Labeling Approach to Curve Reconstruction and Medial Axis Approximation. Eurographics. 77–82. 6 indexed citations
19.
Muthuganapathy, Ramanathan, et al.. (2013). Footpoint distance as a measure of distance computation between curves and surfaces. Computers & Graphics. 38. 300–309. 5 indexed citations
20.
Muthuganapathy, Ramanathan, et al.. (2010). PCS: Prominent Cross-Sections for Mesh Models. Computer-Aided Design and Applications. 7(4). 601–620. 16 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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