P.D. Sathya

1.3k citations
50 papers · 969 · h-index 16

Impact in

Papers in

P.D. Sathya

49 papers receiving 929 citations

Peers

P.D. Sathya
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 501
  • Media Technology 207
  • Neurology 78
  • Artificial Intelligence 249
  • Energy Engineering and Power Technology 18
Replace Salvador Hinojosa with:
Salvador Hinojosa Mexico
Jorge Gálvez Mexico
Lianfang Tian China
Zhikai Xing China
Muhammad Khusairi Osman Malaysia
Xiaoxu Peng China
Manoj Kumar Naik India
Raju Pal India
Hassan Shaban Egypt
Khan Bahadar Khan Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by P.D. Sathya

Since Specialization
Citations

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

Fields of papers citing papers by P.D. Sathya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside P.D. Sathya, 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.D. Sathya Line = papers co-authored together P.D. Sathya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011147
2 2011136
3 202083
4 201174
5 201153
6 202149
7 201046
8
Human papillomaviruses and other influences on survival from cervical cancer in Panama.
199341
9 202332
10 202026
11 202122
12 201121
13 202018
14 202218
15 202216
16 202115
17 202015
18 202114
19 202013
20 201211

About P.D. Sathya

P.D. Sathya is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 50 papers that have together received 969 indexed citations. Recurring topics across this work include Electric Power System Optimization (17 papers), Optimal Power Flow Distribution (13 papers), Medical Image Segmentation Techniques (9 papers), Image Processing Techniques and Applications (6 papers), Smart Grid Energy Management (6 papers), Brain Tumor Detection and Classification (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (501 citations), Media Technology (207 citations), Neurology (78 citations), Artificial Intelligence (249 citations) and Energy Engineering and Power Technology (18 citations). P.D. Sathya has collaborated with scholars based in India, Malaysia and Pakistan. Frequent co-authors include R. Kayalvizhi, V.P. Sakthivel, R. Kayalvizhi, Piyush Kumar, William C. Reeves, Louise A. Brinton, Allan Hildesheim, S. Lao, Sharul Kamal Abdul Rahim and S. Vijayarani. Their work appears in journals such as Expert Systems with Applications, Energy Sources Part B Economics Planning and Policy, Engineering Applications of Artificial Intelligence, Neurocomputing and Engineering Science and Technology an International Journal.

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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