Ashish Kumar
Impact in
- Computational Mechanics top 1%
- Granular flow and fluidized beds
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
Papers in
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- Granular flow and fluidized beds 42
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- Drug Solubulity and Delivery Systems 4
- Co-authors
- Thomas De Beer (36 shared papers)Ingmar Nopens A (17 shared papers)Krist V. Gernaey (12 shared papers)Chris Vervaet (16 shared papers)Valérie Vanhoorne (16 shared papers)Lalit Kumar Singh (1 shared paper)Sanjoy Ghosh (1 shared paper)Jean Paul Remon (9 shared papers)
In The Last Decade
Ashish Kumar
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 71
- Computational Mechanics 965
- Pharmaceutical Science 98
- Analytical Chemistry 90
- Biomedical Engineering 167
- Modeling and Simulation 18
Countries citing papers authored by Ashish Kumar
This map shows the geographic impact of Ashish Kumar'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 Ashish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Kumar more than expected).
Fields of papers citing papers by Ashish Kumar
This network shows the impact of papers produced by Ashish Kumar. 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 Ashish Kumar. The network helps show where Ashish Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashish Kumar, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 159 | |
| 2 | 2017 | 120 | |
| 3 | 2013 | 111 | |
| 4 | 2014 | 101 | |
| 5 | 2017 | 86 | |
| 6 | 2015 | 77 | |
| 7 | 2022 | 65 | |
| 8 | 2019 | 53 | |
| 9 | 2015 | 51 | |
| 10 | 2015 | 48 | |
| 11 | 2018 | 48 | |
| 12 | 2020 | 46 | |
| 13 | 2020 | 43 | |
| 14 | 2016 | 40 | |
| 15 | 2014 | 32 | |
| 16 | 2016 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2018 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2020 | 23 |
About Ashish Kumar
Ashish Kumar is a scholar working on Computational Mechanics, Pharmaceutical Science, Analytical Chemistry, Civil and Structural Engineering and Biomedical Engineering, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (42 papers), Drug Solubulity and Delivery Systems (4 papers), Asphalt Pavement Performance Evaluation (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Biofuel production and bioconversion (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Metal Forming Simulation Techniques (2 papers) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Computational Mechanics (965 citations), Pharmaceutical Science (98 citations), Analytical Chemistry (90 citations), Biomedical Engineering (167 citations) and Modeling and Simulation (18 citations). Ashish Kumar has collaborated with scholars based in Belgium, Denmark and India. Frequent co-authors include Thomas De Beer, Ingmar Nopens A, Krist V. Gernaey, Chris Vervaet, Valérie Vanhoorne, Lalit Kumar Singh, Sanjoy Ghosh, Jean Paul Remon, Jurgen Vercruysse and Bernd Van Snick. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutics, Powder Technology, European Journal of Pharmaceutics and Biopharmaceutics and European Journal of Pharmaceutical Sciences.
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.