K. Ramesh

2.7k citations
126 papers · 2.3k · h-index 27

Impact in

Papers in

K. Ramesh

119 papers receiving 2.2k citations

Peers

K. Ramesh
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 1.3k
  • Civil and Structural Engineering 827
  • Mechanics of Materials 863
  • Media Technology 297
  • Geology 124
Replace Tsuchin Philip Chu with:
Tsuchin Philip Chu United States
Lianxiang Yang United States
Wei Tong United States
MA Sutton United States
Jean‐Christophe Dupré France
Xiaoyuan He China
Pascal Lava Belgium
G. Petrucci Italy
Dimitri Debruyne Belgium
Satoru Yoneyama Japan
K. Ramesh relative to Tsuchin Philip Chu United States Tsuchin Philip Chu's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by K. Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000170
2 2002145
3 1997133
4 202093
5 200788
6 201180
7 199672
8 201659
9 200858
10 201847
11 199845
12 199642
13 200640
14 201837
15 200036
16 200436
17 201735
18 200734
19 199231
20 201629

About K. Ramesh

K. Ramesh is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Mechanics of Materials, Mechanical Engineering and Media Technology, having authored 126 papers that have together received 2.3k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (74 papers), Structural Health Monitoring Techniques (43 papers), Fatigue and fracture mechanics (22 papers), Image Processing Techniques and Applications (21 papers), Advanced Measurement and Metrology Techniques (20 papers), Numerical methods in engineering (18 papers), Advanced Vision and Imaging (17 papers) and Ultrasonics and Acoustic Wave Propagation (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Civil and Structural Engineering (827 citations), Mechanics of Materials (863 citations), Media Technology (297 citations) and Geology (124 citations). K. Ramesh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include M. Ramji, Gladius Lewis, B. Neethi Simon, Pushparaj Mani Pathak, M. Ravichandran, Sohan Kale, Puneet Mahajan, S. G. Dhande, Olaf Dambon and Anh‐Tuan Vu. Their work appears in journals such as Optics and Lasers in Engineering, Strain, The Journal of Strain Analysis for Engineering Design, Experimental Mechanics and Theoretical and Applied Fracture Mechanics.

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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