P. Geetha

82 papers receiving 1.1k citations

Peers

P. Geetha
Comparison fields: 5 of 141
  • Metals and Alloys 168
  • Environmental Engineering 259
  • Civil and Structural Engineering 229
  • Health, Toxicology and Mutagenesis 134
  • Computer Vision and Pattern Recognition 184
Replace Guofeng Su with:
Guofeng Su China
Mingzhi Li China
Felipe Muñoz Colombia
Shenggang Wang China
Xiaoqing Sun China
Yahui Zhang China
Wenhua Wang China
Wenhe Wang China
Jinhua Li China
P. Geetha relative to Guofeng Su China Guofeng Su's profile →
Citations per field
00.5×8.8×
Guofeng Su · 1×
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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009270
2 2018195
3 202095
4 201873
5 200872
6 201650
7 201734
8 201023
9 198423
10 202020
11 198719
12 199017
13 201516
14 202111
15 201611
16 202410
17 198610
18 19869
19
A Case Series on the Recent Nipah Epidemic in Kerala.
20188
20 20167

About P. Geetha

P. Geetha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Organic Chemistry, Materials Chemistry and Environmental Engineering, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thermal and Kinetic Analysis (11 papers), Inorganic and Organometallic Chemistry (11 papers), Remote Sensing in Agriculture (6 papers), Remote-Sensing Image Classification (6 papers), Brain Tumor Detection and Classification (6 papers), Medical Image Segmentation Techniques (5 papers), Flood Risk Assessment and Management (5 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Metals and Alloys (168 citations), Environmental Engineering (259 citations), Civil and Structural Engineering (229 citations), Health, Toxicology and Mutagenesis (134 citations) and Computer Vision and Pattern Recognition (184 citations). P. Geetha has collaborated with scholars based in India, United States and Qatar. Frequent co-authors include K. Stanly Jacob, R. Vinayakumar, K. P. Soman, Telagarapu Prabhakar, R. Jayakumar, Amal J. Sivaram, C. Gopi Mohan, Chacko Jacob, Nicolas Mary and P Krishnakumar. Their work appears in journals such as Indian Journal of Science and Technology, Thermochimica Acta, Solid State Technology, Carbohydrate Polymers 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.

Explore authors with similar magnitude of impact