R. Geetha

523 citations
65 papers · 264 · h-index 8

Impact in

Papers in

R. Geetha

51 papers receiving 257 citations

Peers

R. Geetha
Comparison fields: 5 of 89
  • Health Information Management 21
  • Computer Vision and Pattern Recognition 71
  • General Dentistry 5
  • Health Informatics 3
  • Periodontics 8
Replace Asma Naseer with:
Asma Naseer Pakistan
Marcus D. Bloice Austria
Priyadarshini Adyasha Pattanaik India
Sandra Jardim Portugal
Deepak Mane India
Zhencun Jiang China
Mario Alejandro Bravo-Ortíz Colombia
M. Ramya India
Alejandro Mora-Rubio Colombia
Prabhpreet Kaur India
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Citations per field
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Citations per year

Countries citing papers authored by R. Geetha

Since Specialization
Citations

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

Fields of papers citing papers by R. Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 202021
3 202412
4 201712
5 201711
6 202410
7 20069
8 20198
9 20246
10 20206
11
Nutrient pelleting to augument quality seed production in soybean
20025
12 20245
13 20225
14 20215
15
AWARENESS AND KNOWLEDGE ABOUT ARTIFICIAL INTELLIGENCE IN HEALTHCARE AMONG DOCTORS - A SURVEY
20205
16 20234
17
Evaluation of mango stones under nursery conditions.
20074
18 20244
19 20233
20
Study on effect of nipping and foliar spray on seed yield of sesame var. TMV 7.
20193

About R. Geetha

R. Geetha is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Epidemiology, Soil Science and Molecular Biology, having authored 65 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (10 papers), Digital Media Forensic Detection (9 papers), Seed Germination and Physiology (7 papers), Agricultural Science and Fertilization (6 papers), Dental Research and COVID-19 (5 papers), Artificial Intelligence in Healthcare (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Health Information Management (21 citations), Computer Vision and Pattern Recognition (71 citations), General Dentistry (5 citations), Health Informatics (3 citations) and Periodontics (8 citations). R. Geetha has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include S. Geetha, S. Sivasubramanian, S. Vimal, M. Kaliappan, K. Vijayakumar, S. Prabha, S. Kalaivani, N. Chandramohanakumar, M. Bharathi and Rajesh Kanna Gopal. Their work appears in journals such as Multimedia Tools and Applications, European Journal of Remote Sensing, Chemistry and Ecology, Computers, materials & continua/Computers, materials & continua (Print) and Journal of Medical Systems.

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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