Arushi Jain
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
-
- Nanoparticle-Based Drug Delivery
Papers in
- Co-authors
- Vishal Bhatnagar (5 shared papers)Shweta Dang (1 shared paper)Sonal Gupta (1 shared paper)Jasjeet Kaur Sahni (1 shared paper)Mainak Chakraborty (1 shared paper)Javed Ali (1 shared paper)Sudha Srivastava (2 shared papers)Nidhi Gupta (2 shared papers)
- Journals
- Optics Express (2 papers)International Journal on Semantic Web and Information Systems (1 paper)Drug Delivery (1 paper)Multimedia Tools and Applications (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Arushi Jain
24 papers receiving 351 citations
Peers
Comparison fields: 5 of 106
- Pharmaceutical Science 68
- Biomaterials 33
- Information Systems 54
- Management Information Systems 20
- Biophysics 12
Countries citing papers authored by Arushi Jain
This map shows the geographic impact of Arushi Jain'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 Arushi Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arushi Jain more than expected).
Fields of papers citing papers by Arushi Jain
This network shows the impact of papers produced by Arushi Jain. 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 Arushi Jain. The network helps show where Arushi Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Arushi Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2015 | 54 | |
| 3 | 2013 | 52 | |
| 4 | 2022 | 35 | |
| 5 | 2016 | 22 | |
| 6 | 2021 | 13 | |
| 7 | 2017 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2017 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2016 | 4 | |
| 14 | Android security: Permission based attacks | 2016 | 4 |
| 15 | 2021 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Arushi Jain
Arushi Jain is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Management Information Systems, having authored 24 papers that have together received 376 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (3 papers), Banking stability, regulation, efficiency (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Big Data and Business Intelligence (2 papers), IoT and Edge/Fog Computing (2 papers), Islamic Finance and Banking Studies (2 papers), 3D Shape Modeling and Analysis (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Pharmaceutical Science (68 citations), Biomaterials (33 citations), Information Systems (54 citations), Management Information Systems (20 citations) and Biophysics (12 citations). Arushi Jain has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Vishal Bhatnagar, Shweta Dang, Sonal Gupta, Jasjeet Kaur Sahni, Mainak Chakraborty, Javed Ali, Sudha Srivastava, Nidhi Gupta, Surya Prakash and Martin Frenz. Their work appears in journals such as Optics Express, International Journal on Semantic Web and Information Systems, Drug Delivery, Multimedia Tools and Applications and Biomedical Optics Express.
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.