P. Geetha

1.4k citations
106 papers · 959 · h-index 13

Impact in

Papers in

P. Geetha

90 papers receiving 911 citations

Peers

P. Geetha
Comparison fields: 5 of 140
  • Environmental Engineering 313
  • Media Technology 94
  • Health, Toxicology and Mutagenesis 138
  • Computer Vision and Pattern Recognition 210
  • Automotive Engineering 84
Replace Haiyan Jiang with:
Haiyan Jiang China
Pengfei Li China
Shaofu Lin China
Congcong Wen United Arab Emirates
Li He China
Martha Arbayani Zaidan Finland
Hongbin Dai China
Kuan-Ming Lin Taiwan
Andrés Bueno-Crespo Spain
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Citations per field
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Citations per year

Countries citing papers authored by P. Geetha

Since Specialization
Citations

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

Fields of papers citing papers by P. Geetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2 2020109
3 201887
4 200882
5 201651
6 201738
7 201026
8 201524
9 202020
10 201518
11 201517
12 201915
13 202113
14 201611
15 202410
16 201610
17
Fertigation - the key component of precision farming
20179
18
A Case Series on the Recent Nipah Epidemic in Kerala.
20188
19 20198
20 20178

About P. Geetha

P. Geetha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Global and Planetary Change and Media Technology, having authored 106 papers that have together received 959 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (8 papers), Remote-Sensing Image Classification (8 papers), Remote Sensing in Agriculture (7 papers), Brain Tumor Detection and Classification (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), Face and Expression Recognition (5 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Environmental Engineering (313 citations), Media Technology (94 citations), Health, Toxicology and Mutagenesis (138 citations), Computer Vision and Pattern Recognition (210 citations) and Automotive Engineering (84 citations). P. Geetha has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include R. Vinayakumar, K. P. Soman, Amal J. Sivaram, C. Gopi Mohan, R. Jayakumar, P Krishnakumar, Lulu Mathews, R. Anand, Suresh Subramoniam and S. Veni. Their work appears in journals such as Indian Journal of Science and Technology, Biocatalysis and Agricultural Biotechnology, Solid State Technology, Water Resources Management and ISPRS Journal of Photogrammetry and Remote Sensing.

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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