D. Raja
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Polymers and Plastics top 10%
- Textile materials and evaluations
Papers in
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- Textile materials and evaluations 17
- Natural Fiber Reinforced Composites 5
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- Digital Imaging for Blood Diseases 4
- Co-authors
- G. Ramakrishnan (6 shared papers)V. Ramesh Babu (6 shared papers)C. Prakash (7 shared papers)M. Senthilkumar (5 shared papers)G. Gunasekaran (1 shared paper)Natarajan Kannan (1 shared paper)V. Subramaniam (2 shared papers)S. Kumarganesh (2 shared papers)
In The Last Decade
D. Raja
26 papers receiving 263 citations
Peers
Comparison fields: 5 of 67
- Neurology 82
- Polymers and Plastics 131
- Computer Vision and Pattern Recognition 106
- Building and Construction 44
- Ophthalmology 22
Countries citing papers authored by D. Raja
This map shows the geographic impact of D. Raja'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 D. Raja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Raja more than expected).
Fields of papers citing papers by D. Raja
This network shows the impact of papers produced by D. Raja. 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 D. Raja. The network helps show where D. Raja may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Raja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2012 | 33 | |
| 3 | 2015 | 28 | |
| 4 | 2014 | 28 | |
| 5 | 2017 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 20 | |
| 8 | 2013 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2010 | 7 | |
| 13 | Measuring In-Plane Liquid Spread in Fabric Using an Embedded Image Processing Technique | 2012 | 7 |
| 14 | 2014 | 7 | |
| 15 | 2012 | 7 | |
| 16 | Horizontal liquid spreading behaviour of hybrid yarn woven fabric using embedded image analysis principle | 2012 | 7 |
| 17 | 2022 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2021 | 3 |
About D. Raja
D. Raja is a scholar working on Polymers and Plastics, Computer Vision and Pattern Recognition, Building and Construction, Mechanics of Materials and Neurology, having authored 32 papers that have together received 304 indexed citations. Recurring topics across this work include Textile materials and evaluations (17 papers), Dyeing and Modifying Textile Fibers (8 papers), Natural Fiber Reinforced Composites (5 papers), Brain Tumor Detection and Classification (4 papers), Digital Imaging for Blood Diseases (4 papers), Material Properties and Processing (4 papers), Color perception and design (3 papers) and Antenna Design and Analysis (3 papers). The work is most often cited by research in Neurology (82 citations), Polymers and Plastics (131 citations), Computer Vision and Pattern Recognition (106 citations), Building and Construction (44 citations) and Ophthalmology (22 citations). D. Raja has collaborated with scholars based in India, Vietnam and Thailand. Frequent co-authors include G. Ramakrishnan, V. Ramesh Babu, C. Prakash, M. Senthilkumar, G. Gunasekaran, Natarajan Kannan, V. Subramaniam, S. Kumarganesh, N. Santhiyakumari and Marc Pomplun. Their work appears in journals such as Journal of the Textile Institute, International Journal of Imaging Systems and Technology, Indian Journal of Fibre & Textile Research, Journal of Testing and Evaluation and Journal of Industrial Textiles.
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.