Deepshikha Deepshikha
- Applied Mathematics top 5%
- Electrical and Electronic Engineering
- Polymers and Plastics
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Tinku BasuJayanti SemwalAnupam PrakashRuchi JuyalHem Chandra SatiPradeep YammiyavarPankaj Kumar DasG. Roopa Lavanya
- Topics
- Mathematical Analysis and Transform Methods (12 papers)Conducting polymers and applications (5 papers)Analytical Chemistry and Sensors (4 papers)
In The Last Decade
Deepshikha Deepshikha
59 papers receiving 314 citations
Peers
Comparison fields: 5 of 106
- Applied Mathematics 91
- Electrical and Electronic Engineering 55
- Polymers and Plastics 48
- Biomedical Engineering 44
- Materials Chemistry 33
Countries citing papers authored by Deepshikha Deepshikha
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
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-authorship network of co-authors of Deepshikha Deepshikha
This figure shows the co-authorship network connecting the top 25 collaborators of Deepshikha Deepshikha. A scholar is included among the top collaborators of Deepshikha Deepshikha 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 Deepshikha Deepshikha. Deepshikha Deepshikha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Preparation and evaluation of wine from Rhododenron arboreum and Madhuca longifolia flowers juice | 2 |
| 10 | Prevalence of spontaneously occurring animals neoplasms in Jammu | 1 |
| 11 | 9 | |
| 12 | 8 | |
| 13 | A NOTE ON DISCRETE FRAMES OF TRANSLATES IN CN | 3 |
| 14 | 29 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | Assessment of genetic variability for yield and its contributing traits in blackgram. | 7 |
| 18 | Influence of particle size and temperature on the dielectric properties of CoFe2O4 nanoparticles | 20 |
| 19 | Atypical respiratory complications of dengue fever | 5 |
| 20 | 9 |
About Deepshikha Deepshikha
Deepshikha Deepshikha is a scholar working on Applied Mathematics, Museology and Bioengineering, having authored 65 papers that have together received 327 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (12 papers), Conducting polymers and applications (5 papers) and Analytical Chemistry and Sensors (4 papers). The work is most often cited by research in Applied Mathematics (91 citations), Bioengineering (23 citations) and Polymers and Plastics (48 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, G. Roopa Lavanya, Ruchika Chauhan and Aslam C. Shaikh. Their work appears in journals such as Environmental Science & Technology, Chemical Communications and Chemical Engineering 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.