K. Ramesh

2.7k citations
109 papers · 2.1k indexed · h-index 25

Impact in

Papers in

K. Ramesh

104 papers receiving 2.0k citations

Peers

K. Ramesh
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 1.2k
  • Civil and Structural Engineering 751
  • Mechanics of Materials 825
  • Media Technology 269
  • Geology 100
Replace Tsuchin Philip Chu with:
Tsuchin Philip Chu United States
Pascal Lava Belgium
Dimitri Debruyne Belgium
Satoru Yoneyama Japan
Jean‐Christophe Dupré France
Dafang Wu China
Yves Surrel France
David Lecompte Belgium
MA Sutton United States
G. Petrucci Italy
K. Ramesh relative to Tsuchin Philip Chu United States Tsuchin Philip Chu's profile →
Citations per field
00.5×1.5×
Tsuchin Philip Chu · 1×
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-authorship network

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
#Work
1 20250
2 20242
3 20241
4 20233
5 20230
6 20230
7 20234
8 20231
9 20230
10 20236
11 20208
12 201820
13 201820
14 20174
15 201524
16 20121
17 20094
18 19986
19 19973
20 19962

About K. Ramesh

K. Ramesh is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (66 papers), Structural Health Monitoring Techniques (37 papers), Fatigue and fracture mechanics (20 papers), Advanced Measurement and Metrology Techniques (19 papers), Image Processing Techniques and Applications (17 papers), Numerical methods in engineering (16 papers), Advanced Vision and Imaging (15 papers) and Ultrasonics and Acoustic Wave Propagation (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Civil and Structural Engineering (751 citations), Mechanics of Materials (825 citations), Media Technology (269 citations) and Geology (100 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, Anh‐Tuan Vu and Olaf Dambon. 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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