Narayanan Padma

53 papers receiving 827 citations

Peers

Narayanan Padma
Comparison fields: 5 of 64
  • Bioengineering 144
  • Polymers and Plastics 259
  • Electronic, Optical and Magnetic Materials 199
  • Electrical and Electronic Engineering 501
  • Materials Chemistry 342
Replace Shreyam Chatterjee with:
Shreyam Chatterjee India
N. Gopalakrishnan India
Hiroyuki Yamaura Japan
Rachana Kumar India
Beri Gopalakrishnan Jeyaprakash India
David Xi Cao United States
Bhubesh Chander Joshi India
Stéphanie Lau‐Truong France
Han Gil Na South Korea
Narayanan Padma relative to Shreyam Chatterjee India Shreyam Chatterjee's profile →
Citations per field
00.5×1.6×
Shreyam Chatterjee · 1×
Citations per year

Countries citing papers authored by Narayanan Padma

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Padma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 2020102
3 200973
4 202164
5 201141
6 201734
7 200734
8 201325
9 201520
10 201919
11 201619
12 201317
13 202017
14 201515
15 201614
16 200714
17 201313
18 201913
19 202412
20 201412

About Narayanan Padma

Narayanan Padma is a scholar working on Bioengineering, Polymers and Plastics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 54 papers that have together received 848 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (17 papers), Conducting polymers and applications (11 papers), Thin-Film Transistor Technologies (9 papers), Analytical Chemistry and Sensors (9 papers), Molecular Junctions and Nanostructures (8 papers), MXene and MAX Phase Materials (7 papers), Graphene research and applications (6 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). The work is most often cited by research in Bioengineering (144 citations), Polymers and Plastics (259 citations), Electronic, Optical and Magnetic Materials (199 citations), Electrical and Electronic Engineering (501 citations) and Materials Chemistry (342 citations). Narayanan Padma has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Jatinder Vir Yakhmi, Dinesh Kumar Aswal, Sudhanshu K. Deshpande, Dayanand S. Sutar, Uday Narayan Maiti, Pronoy Dutta, Abhisek Majumdar, Anirban Sikdar, Subhradip Ghosh and Shiv Kumar Gupta. Their work appears in journals such as Applied Surface Science, Journal of Applied Physics, Superlattices and Microstructures, ACS Applied Materials & Interfaces and Sensors and Actuators B Chemical.

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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