Rohith MV

662 citations
12 papers · 271 · h-index 7

Impact in

Papers in

    • Face recognition and analysis 4
    • Advanced Vision and Imaging 3
    • Generative Adversarial Networks and Image Synthesis 2
    • Human Pose and Action Recognition 2
    • Face and Expression Recognition 2
    • Arctic and Antarctic ice dynamics 3
    • Cryospheric studies and observations 3
    • Climate change and permafrost 2

Rohith MV

12 papers receiving 254 citations

Peers

Rohith MV
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 202
  • Signal Processing 66
  • Atmospheric Science 53
  • Human-Computer Interaction 10
  • Oceanography 11
Replace Zhipeng Yu with:
Zhipeng Yu China
André Seyler Germany
Dimo Dimov Bulgaria
Lina Zhao China
António Serralheiro Portugal
Radhesyam Vaddi India
Ketan Kotwal Switzerland
Mohammad Abuzar Shaikh United States
Rohith MV relative to Zhipeng Yu China Zhipeng Yu's profile →
Citations per field
00.5×5.5×
Zhipeng Yu · 1×
Citations per year

Countries citing papers authored by Rohith MV

Since Specialization
Citations

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

Fields of papers citing papers by Rohith MV

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rohith MV, 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 Rohith MV Line = papers co-authored together Rohith MV links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011164
2 201125
3 201623
4 201120
5 201217
6 20237
7 20166
8 20124
9 20092
10 20131
11 20111
12 20231

About Rohith MV

Rohith MV is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Geology, Molecular Biology and Control and Systems Engineering, having authored 12 papers that have together received 271 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Advanced Vision and Imaging (3 papers), Arctic and Antarctic ice dynamics (3 papers), Cryospheric studies and observations (3 papers), Climate change and permafrost (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Pose and Action Recognition (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (202 citations), Signal Processing (66 citations), Atmospheric Science (53 citations), Human-Computer Interaction (10 citations) and Oceanography (11 citations). Rohith MV has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Michael Jones, Tim K. Marks, Akshay Asthana, Kinh Tieu, Chandra Kambhamettu, Hajo Eicken, Andrew R. Mahoney, Matthew L. Druckenmiller, Yasushi Fukamachi and Franz J. Meyer. Their work appears in journals such as Journal on Computing and Cultural Heritage, Continental Shelf Research, Image and Vision Computing, Marine Technology Society Journal and IEEE Transactions on Geoscience and Remote Sensing.

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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