B. Prasada

626 citations
23 papers · 489 · h-index 12

Impact in

    • Advanced Data Compression Techniques
    • Image and Signal Denoising Methods
    • Handwritten Text Recognition Techniques
    • Advanced Vision and Imaging
    • Image Retrieval and Classification Techniques
    • Image Enhancement Techniques
    • Advanced Image Processing Techniques
    • Video Coding and Compression Technologies

Papers in

B. Prasada

22 papers receiving 427 citations

Peers

B. Prasada
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 378
  • Signal Processing 102
  • Media Technology 52
  • Computer Graphics and Computer-Aided Design 10
  • Artificial Intelligence 81
Replace Michael Gormish with:
Michael Gormish United States
S. Tanimoto United States
Jianping Fan China
S. Hein United States
P.H.W. Wong Hong Kong
Oleksiy Koval Switzerland
A.C. Downton United Kingdom
Sung-Jea Ko South Korea
Jorge E. Caviedes United States
E. R. Kretzmer United States
B. Prasada relative to Michael Gormish United States Michael Gormish's profile →
Citations per field
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Michael Gormish · 1×
Citations per year

Countries citing papers authored by B. Prasada

Since Specialization
Citations

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

Fields of papers citing papers by B. Prasada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside B. Prasada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Prasada Line = papers co-authored together B. Prasada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977131
2 198063
3 198547
4 199342
5 198834
6 196727
7 196719
8 198117
9 197615
10 198014
11 197714
12 199112
13 198310
14 199110
15 19777
16 19936
17 19636
18 19846
19 19785
20 19762

About B. Prasada

B. Prasada is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Artificial Intelligence and Media Technology, having authored 23 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (10 papers), Video Coding and Compression Technologies (5 papers), Image Enhancement Techniques (3 papers), Multimedia Communication and Technology (3 papers), Handwritten Text Recognition Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Algorithms and Data Compression (2 papers) and Telecommunications and Broadcasting Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Signal Processing (102 citations), Media Technology (52 citations), Computer Graphics and Computer-Aided Design (10 citations) and Artificial Intelligence (81 citations). B. Prasada has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Arun N. Netravali, R.M.K. Sinha, F. W. Mounts, David T. Ting, Oleh J. Tretiak, Thomas S. Huang, Éric Dubois, Kalluri R. Sarma, C.V. Kameswara Rao and John A. Robinson. Their work appears in journals such as Proceedings of the IEEE, Pattern Recognition, IEEE Transactions on Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Electromagnetic Compatibility.

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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