Srinivas Rao

11 papers receiving 432 citations

Peers

Srinivas Rao
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 367
  • Human-Computer Interaction 329
  • Cognitive Neuroscience 98
  • Media Technology 93
  • Computer Graphics and Computer-Aided Design 93
Replace Christian Spagno with:
Christian Spagno Switzerland
Kai Strehlke Switzerland
Herman Towles United States
Peter Lincoln United States
Daniel Cotting Switzerland
Matthew Flagg United States
Javier Girado United States
Peter Mohr Austria
Steven Zhiying Zhou Singapore
M. Masry United States
Srinivas Rao relative to Christian Spagno Switzerland Christian Spagno's profile →
Citations per field
00.5×2.7×
Christian Spagno · 1×
Citations per year

Countries citing papers authored by Srinivas Rao

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Rao. A scholar is included among the top collaborators of Srinivas Rao 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 Srinivas Rao. Srinivas Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 3
3 1
4
Image Segmentation Based on a Finite Generalized New Symmetric Mixture Model with K - Means
3
5
Unsupervised Image Segmentation Method based on Finite Generalized Gaussian Distribution with EM & K-Means Algorithm
3
6 199
7 33
8 108
9 69
10 22
11 11

About Srinivas Rao

Srinivas Rao is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 456 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Augmented Reality Applications (4 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Human-Computer Interaction (329 citations), Computer Graphics and Computer-Aided Design (93 citations) and Computer Vision and Pattern Recognition (367 citations). Srinivas Rao has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Jeroen van Baar, Thomas Willwacher, Ramesh Raskar, Paul Beardsley, Clifton Forlines, J. Peters, T.S.R. Murthy, P. Srinivasa Rao, Y. Srinivas and Stefan M. Holzer. Their work appears in journals such as ACM Transactions on Graphics, CIRP Annals and Computer Graphics Forum.

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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