V. K. Govindan

1.5k total citations
72 papers, 1.1k citations indexed

About

V. K. Govindan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V. K. Govindan has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 20 papers in Media Technology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V. K. Govindan's work include Medical Image Segmentation Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). V. K. Govindan is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). V. K. Govindan collaborates with scholars based in India, Australia and United States. V. K. Govindan's co-authors include A. P. SHIVAPRASAD, S. Murali, P. S. Sathidevi, K.S. Arun, Abraham T. Mathew, K. A. Abdul Nazeer, S. D. Madhu Kumar, Unnikrishnan Payyappallimana, Shitala Prasad and A Lijiya and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

V. K. Govindan

68 papers receiving 944 citations

Peers

V. K. Govindan
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 786
  • Artificial Intelligence 243
  • Media Technology 227
  • Radiology, Nuclear Medicine and Imaging 174
  • Ophthalmology 75
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Citations per field, relative to V. K. Govindan
V. K. Govindan · 1×
Citations per year, relative to V. K. Govindan
V. K. Govindan · 1×

Countries citing papers authored by V. K. Govindan

Since Specialization
Citations

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

Fields of papers citing papers by V. K. Govindan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. K. Govindan. 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 V. K. Govindan. The network helps show where V. K. Govindan may publish in the future.

Co-authorship network of co-authors of V. K. Govindan

This figure shows the co-authorship network connecting the top 25 collaborators of V. K. Govindan. A scholar is included among the top collaborators of V. K. Govindan 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 V. K. Govindan. V. K. Govindan 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
# Work Indexed citations
1 12
2 11
3 0
4 1
5 8
6 11
7
Image Segmentation using Sparse Subspace Clustering
1
8 2
9 15
10
An Improved Approach to Super-Resolution Image Reconstruction
1
11 10
12 18
13
Automatic Segmentation Employing Fuzzy Connectedness
1
14 10
15 45
16
An Enhanced Watershed Transformation Approach for MRI Gray Matter Segmentation Using Iterative Parallel Region Merging
1
17 1
18 5
19 10
20 342

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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2026