B. Prabhakara Rao

506 citations
47 papers · 306 indexed · h-index 10
Topics
Advanced Data Compression Techniques (12 papers)Image and Signal Denoising Methods (10 papers)Medical Image Segmentation Techniques (5 papers)

In The Last Decade

B. Prabhakara Rao

37 papers receiving 280 citations

Peers

B. Prabhakara Rao
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 183
  • Media Technology 73
  • Artificial Intelligence 40
  • Electrical and Electronic Engineering 35
  • Signal Processing 20
Replace Suranjana Samanta with:
Suranjana Samanta India
Huaxin Xiao China
Alok Kumar Singh Kushwaha India
Yuming Jiang China
Telagarapu Prabhakar India
Zengguo Sun China
Yu‐Feng Yu China
Peng Han China
David Helbert France
Youlian Zhu China
B. Prabhakara Rao relative to Suranjana Samanta India Suranjana Samanta's profile →
Citations per field
00.5×1.5×2.5×
Suranjana Samanta · 1×
Citations per year

Countries citing papers authored by B. Prabhakara Rao

Since Specialization
Citations

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

Fields of papers citing papers by B. Prabhakara Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Prabhakara Rao

This figure shows the co-authorship network connecting the top 25 collaborators of B. Prabhakara Rao. A scholar is included among the top collaborators of B. Prabhakara 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 B. Prabhakara Rao. B. Prabhakara Rao 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
#WorkIndexed citations
1 7
2 3
3 2
4 2
5 1
6 0
7 6
8 1
9 1
10 14
11 1
12 1
13 11
14 2
15 1
16
A Hybrid Multi-User Detector for CDMA Systems
1
17 5
18 59
19 39
20 1

About B. Prabhakara Rao

B. Prabhakara Rao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 47 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Image and Signal Denoising Methods (10 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Media Technology (73 citations) and Signal Processing (20 citations). B. Prabhakara Rao has collaborated with scholars based in India, Bulgaria and United States. Frequent co-authors include A. Govardhan, G. Sasibhushana Rao, Giri Babu Kande, S. Gowri, B. Bhaskara Rao, Vamsi Krishna Velidi, Tushar Krishna and B. S. Premananda. Their work appears in journals such as Multimedia Tools and Applications, Optik and The Computer Journal.

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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