Preethi Padmanabhan

696 total citations
19 papers, 507 citations indexed

About

Preethi Padmanabhan is a scholar working on Instrumentation, Electrical and Electronic Engineering and Biophysics. According to data from OpenAlex, Preethi Padmanabhan has authored 19 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Instrumentation, 5 papers in Electrical and Electronic Engineering and 4 papers in Biophysics. Recurrent topics in Preethi Padmanabhan's work include Advanced Optical Sensing Technologies (10 papers), CCD and CMOS Imaging Sensors (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Preethi Padmanabhan is often cited by papers focused on Advanced Optical Sensing Technologies (10 papers), CCD and CMOS Imaging Sensors (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Preethi Padmanabhan collaborates with scholars based in Switzerland, Netherlands and India. Preethi Padmanabhan's co-authors include Edoardo Charbon, Myung-Jae Lee, Y. Yamashita, Chao Zhang, E. L. Madsen, Corien Bakermans, Marco Cazzaniga, Lauren Bell, Shouleh Nikzad and B. Hancock and has published in prestigious journals such as Sensors, IEEE Journal of Solid-State Circuits and Microbial Ecology.

In The Last Decade

Preethi Padmanabhan

16 papers receiving 471 citations

Peers

Preethi Padmanabhan
Comparison fields: 5 of 88
  • Instrumentation 287
  • Electrical and Electronic Engineering 182
  • Biophysics 107
  • Atomic and Molecular Physics, and Optics 82
  • Biomedical Engineering 80
Replace Lasse Høgstedt with:
Lasse Høgstedt Denmark
Karl-Friedrich Klein Germany
Jinbao Xia China
Kazuki Hashimoto Japan
D. Szabra Poland
Gregory Eakins United States
Marie Abboud Lebanon
Z. A. Yasa United States
Young‐Jin Ahn South Korea
Lasse Høgstedt Denmark View profile →
Citations per field, relative to Preethi Padmanabhan
Preethi Padmanabhan · 1×
Citations per year, relative to Preethi Padmanabhan
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Countries citing papers authored by Preethi Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Preethi Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Padmanabhan

This figure shows the co-authorship network connecting the top 25 collaborators of Preethi Padmanabhan. A scholar is included among the top collaborators of Preethi Padmanabhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Preethi Padmanabhan. Preethi Padmanabhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 45
3 0
4
PREDICTION OF POPULATION GROWTH USING MACHINE LEARNING TECHNIQUES
1
5 65
6 55
7 2
8 102
9 15
10 7
11 61
12 8
13 32
14 5
15 8
16 42
17 3
18 54
19 2

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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