Deepshikha Deepshikha

59 papers receiving 321 citations

Peers

Deepshikha Deepshikha
Comparison fields: 5 of 101
  • Applied Mathematics 91
  • Bioengineering 23
  • Polymers and Plastics 48
  • Electrochemistry 13
  • Signal Processing 18
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Countries citing papers authored by Deepshikha Deepshikha

Since Specialization
Citations

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

Fields of papers citing papers by Deepshikha Deepshikha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 201629
3
Nutritional status and associated comorbidities among the elderly in Doiwala block, Dehradun
201422
4
Influence of particle size and temperature on the dielectric properties of CoFe2O4 nanoparticles
201420
5 201712
6 202412
7 201810
8 20169
9 20109
10 20178
11 20188
12 20178
13 20178
14
Biofixation of carbon dioxide using mixed culture of microalgae
20158
15
Assessment of genetic variability for yield and its contributing traits in blackgram.
20147
16 20157
17 20126
18 20086
19 20166
20 20126

About Deepshikha Deepshikha

Deepshikha Deepshikha is a scholar working on Applied Mathematics, Plant Science, Biomedical Engineering, Molecular Biology and Polymers and Plastics, having authored 64 papers that have together received 334 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (12 papers), Conducting polymers and applications (5 papers), Analytical Chemistry and Sensors (4 papers), Wireless Body Area Networks (3 papers), Digital Filter Design and Implementation (3 papers), Crafts, Textile, and Design (3 papers), Electrochemical sensors and biosensors (3 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Applied Mathematics (91 citations), Bioengineering (23 citations), Polymers and Plastics (48 citations), Electrochemistry (13 citations) and Signal Processing (18 citations). Deepshikha Deepshikha has collaborated with scholars based in India, Australia and China. Frequent co-authors include Tinku Basu, Jayanti Semwal, Anupam Prakash, Ruchi Juyal, Hem Chandra Sati, Pradeep Yammiyavar, Pankaj Kumar Das, Piyush Kashyap, Preeti Bajaj and G. Roopa Lavanya. Their work appears in journals such as Journal of Geometry and Physics, Dyes and Pigments, Science of Advanced Materials, Chemical Communications and Environmental Science & Technology.

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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