K.D. Nisha

814 citations
32 papers · 703 · h-index 15

Impact in

Papers in

K.D. Nisha

32 papers receiving 689 citations

Peers

K.D. Nisha
Comparison fields: 5 of 69
  • Renewable Energy, Sustainability and the Environment 312
  • Materials Chemistry 514
  • Polymers and Plastics 71
  • Electrical and Electronic Engineering 272
  • Electronic, Optical and Magnetic Materials 57
Replace Benoit Van der Schueren with:
Benoit Van der Schueren Belgium
Yibai Sun China
Tiangui Liu China
Y. R. Su China
Haixia Zhang China
Fargol Hasani Bijarbooneh Australia
Chengquan Zhu China
Xingfu Zhou China
Chayanika Das India
Hanxiang Jia China
K.D. Nisha relative to Benoit Van der Schueren Belgium Benoit Van der Schueren's profile →
Citations per field
00.5×1.5×2.3×
Benoit Van der Schueren · 1×
Citations per year

Countries citing papers authored by K.D. Nisha

Since Specialization
Citations

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

Fields of papers citing papers by K.D. Nisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside K.D. Nisha, 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 K.D. Nisha Line = papers co-authored together K.D. Nisha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016175
2 201954
3 201648
4 201746
5 202138
6 201931
7 200929
8 202129
9 201024
10 201623
11 201122
12 201119
13 201218
14 201517
15 202314
16 202014
17 202313
18 201813
19 202411
20 20169

About K.D. Nisha

K.D. Nisha is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Civil and Structural Engineering and Polymers and Plastics, having authored 32 papers that have together received 703 indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (18 papers), Chalcogenide Semiconductor Thin Films (17 papers), Advanced Photocatalysis Techniques (8 papers), Copper-based nanomaterials and applications (8 papers), ZnO doping and properties (7 papers), TiO2 Photocatalysis and Solar Cells (4 papers), Advanced Thermoelectric Materials and Devices (4 papers) and Thermal Radiation and Cooling Technologies (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (312 citations), Materials Chemistry (514 citations), Polymers and Plastics (71 citations), Electrical and Electronic Engineering (272 citations) and Electronic, Optical and Magnetic Materials (57 citations). K.D. Nisha has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include M. Navaneethan, S. Ponnusamy, C. Muthamizhchelvan, S. Harish, Y. Hayakawa, Hiroya Ikeda, D. K. Aswal, S. Prabakaran, M. Sabarinathan and Rajak Harish. Their work appears in journals such as Journal of Alloys and Compounds, Applied Surface Science, Materials Letters, Journal of Materials Science Materials in Electronics and Materials Chemistry and Physics.

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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