Rohith MV

665 citations
15 papers · 475 · h-index 8

Impact in

Papers in

    • Advanced Vision and Imaging 4
    • Face recognition and analysis 4
    • Human Pose and Action Recognition 4
    • Face and Expression Recognition 2
    • Image Retrieval and Classification Techniques 2
    • Generative Adversarial Networks and Image Synthesis 2

Rohith MV

15 papers receiving 448 citations

Peers

Rohith MV
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 387
  • Human-Computer Interaction 50
  • Signal Processing 77
  • Atmospheric Science 56
  • Endocrinology, Diabetes and Metabolism 32
Replace Yan Ju with:
Yan Ju United States
David C. Banks United States
Dimo Dimov Bulgaria
Ruixu Liu United States
Bindita Chaudhuri United States
Wenjing Chen China
Jiahui Wang China
António Serralheiro Portugal
Hanqing Lu China
Rohith MV relative to Yan Ju United States Yan Ju's profile →
Citations per field
00.5×5×10×17×
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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

15 of 15 papers shown
#Work
1 2011194
2 2019152
3 201126
4 201625
5 201122
6 201217
7 202315
8 20168
9 20124
10 20193
11 20232
12 20092
13 20112
14 20112
15 20131

About Rohith MV

Rohith MV is a scholar working on Computer Vision and Pattern Recognition, Geology, Atmospheric Science, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 15 papers that have together received 475 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Face recognition and analysis (4 papers), Human Pose and Action Recognition (4 papers), Arctic and Antarctic ice dynamics (3 papers), Cryospheric studies and observations (3 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Human-Computer Interaction (50 citations), Signal Processing (77 citations), Atmospheric Science (56 citations) and Endocrinology, Diabetes and Metabolism (32 citations). Rohith MV has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Akshay Asthana, Kinh H. Tieu, Michael Jones, Tim K. Marks, Chandra Kambhamettu, Ambrish Tyagi, Amit Agrawal, James Matthew Rehg, Hajo S. Eicken and Abhinav Jain. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Geoscience and Remote Sensing, Continental Shelf Research, Marine Technology Society Journal and Journal on Computing and Cultural Heritage.

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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