Sachin K. Korde
- Materials Chemistry
- Pharmaceutical Science top 5%
- Information Systems top 10%
- Physical and Theoretical Chemistry top 10%
- Molecular Biology
- Co-authors
- P. WilliamAnant ParadkarA. B. PawarNeeta DeshpandeAdrian KellyGavin WalkerAhmad B. AlbadarinJaved Iqbal
- Topics
- Crystallization and Solubility Studies (3 papers)Artificial Intelligence and Decision Support Systems (2 papers)Drug Solubulity and Delivery Systems (2 papers)
- Journals
- International Journal of PharmaceuticsJournal of Applied Polymer ScienceCrystal Growth & Design
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Sachin K. Korde
18 papers receiving 338 citations
Peers
Comparison fields: 5 of 82
- Materials Chemistry 94
- Pharmaceutical Science 83
- Information Systems 58
- Physical and Theoretical Chemistry 56
- Molecular Biology 40
Countries citing papers authored by Sachin K. Korde
This map shows the geographic impact of Sachin K. Korde'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 Sachin K. Korde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin K. Korde more than expected).
Fields of papers citing papers by Sachin K. Korde
This network shows the impact of papers produced by Sachin K. Korde. 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 Sachin K. Korde. The network helps show where Sachin K. Korde may publish in the future.
Co-authorship network of co-authors of Sachin K. Korde
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin K. Korde. A scholar is included among the top collaborators of Sachin K. Korde 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 Sachin K. Korde. Sachin K. Korde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 17 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | Image Classification using Deep Learning | 5 |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 31 | |
| 15 | 28 | |
| 16 | 66 | |
| 17 | 2 | |
| 18 | 35 | |
| 19 | 9 |
About Sachin K. Korde
Sachin K. Korde is a scholar working on Pharmaceutical Science, General Social Sciences and Information Systems, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (3 papers), Artificial Intelligence and Decision Support Systems (2 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Pharmaceutical Science (83 citations), Physical and Theoretical Chemistry (56 citations) and Health Informatics (5 citations). Sachin K. Korde has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include P. William, Anant Paradkar, A. B. Pawar, Neeta Deshpande, Adrian Kelly, Gavin Walker, Ahmad B. Albadarin, Javed Iqbal, Mark T. Davis and Catherine B. Potter. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Applied Polymer Science and Crystal Growth & Design.
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.