B. Prasada

625 citations
20 papers · 416 · h-index 11

Impact in

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

Papers in

    • Advanced Data Compression Techniques 9
    • Handwritten Text Recognition Techniques 3
    • Image Enhancement Techniques 3
    • Image and Video Quality Assessment 2
    • Advanced Image and Video Retrieval Techniques 2
    • Video Coding and Compression Technologies 5

B. Prasada

20 papers receiving 359 citations

Peers

B. Prasada
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 316
  • Signal Processing 84
  • Media Technology 49
  • Artificial Intelligence 73
  • Human-Computer Interaction 12
Replace Tomohiro Hase with:
Tomohiro Hase Japan
Michael Gormish United States
A.C. Downton United Kingdom
F. W. Mounts United States
Jorge E. Caviedes United States
Oleksiy Koval Switzerland
Chakravarthy Bhagvati India
P.H.W. Wong Hong Kong
E. R. Kretzmer United States
B. Prasada relative to Tomohiro Hase Japan Tomohiro Hase's profile →
Citations per field
00.5×2.6×
Tomohiro Hase · 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 9 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
#Work
1 1977111
2 198055
3 198545
4 199336
5 198831
6 196725
7 196719
8 198013
9 197611
10 198310
11 199110
12 199110
13 19779
14 19776
15 19636
16 19936
17 19846
18 19784
19 19762
20
Visual communications systems
19891

About B. Prasada

B. Prasada is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Computational Mechanics and Artificial Intelligence, having authored 20 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (9 papers), Video Coding and Compression Technologies (5 papers), Multimedia Communication and Technology (3 papers), Handwritten Text Recognition Techniques (3 papers), Image Enhancement Techniques (3 papers), Image and Video Quality Assessment (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Signal Processing (84 citations), Media Technology (49 citations), Artificial Intelligence (73 citations) and Human-Computer Interaction (12 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, Kalluri R. Sarma, C.V. Kameswara Rao and John A. Robinson. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Communications, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bell System Technical 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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