M.V. Ranganath

728 citations
6 papers · 519 · h-index 5

Impact in

    • Video Coding and Compression Technologies
    • Advanced Vision and Imaging
    • Advanced Data Compression Techniques
    • Advanced Image Processing Techniques
    • Image and Video Quality Assessment
    • Video Analysis and Summarization

Papers in

M.V. Ranganath

6 papers receiving 480 citations

Peers

M.V. Ranganath
Comparison fields: 5 of 50
  • Signal Processing 408
  • Computer Vision and Pattern Recognition 438
  • Radiology, Nuclear Medicine and Imaging 46
  • Radiation 10
  • Media Technology 7
Replace Miguel Chavarrías with:
Miguel Chavarrías Spain
Peng Yin United States
Yen-Fu Ou United States
Zafar Shahid France
Xiaoyu Xiu United States
Joeri Barbarien Belgium
R. Dugad United States
Zhihao Hu China
Andrey Norkin United States
Tobias Oelbaum Germany
M.V. Ranganath relative to Miguel Chavarrías Spain Miguel Chavarrías's profile →
Citations per field
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Miguel Chavarrías · 1×
Citations per year

Countries citing papers authored by M.V. Ranganath

Since Specialization
Citations

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

Fields of papers citing papers by M.V. Ranganath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M.V. Ranganath, 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 M.V. Ranganath Line = papers co-authored together M.V. Ranganath links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About M.V. Ranganath

M.V. Ranganath is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Radiation, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 6 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Advanced Control Systems Optimization (2 papers), Fuzzy Logic and Control Systems (1 paper), Image Enhancement Techniques (1 paper), Advanced X-ray and CT Imaging (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Signal Processing (408 citations), Computer Vision and Pattern Recognition (438 citations), Radiology, Nuclear Medicine and Imaging (46 citations), Radiation (10 citations) and Media Technology (7 citations). M.V. Ranganath has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include S. Ranganath, Jo Yew Tham, Ashraf A. Kassim, Nizar A. Mullani, Atam P. Dhawan, S. Renganathan, Shyh-shiaw Kuo, Ch. Srinivasa Rao and K. Lance Gould. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Medical Imaging, Proceedings - International Conference on Image Processing, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Bioprocess Engineering.

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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