Deepak M. Kirpalani
- Water Science and Technology top 10%
- Membrane Separation Technologies 4
- Analytical Chemistry top 10%
- Petroleum Processing and Analysis 5
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- Fluid Dynamics and Mixing 9
- Innovative Microfluidic and Catalytic Techniques Innovation 3
- Computational Mechanics top 10%
- Fluid Dynamics and Heat Transfer 4
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- Electrohydrodynamics and Fluid Dynamics 6
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- Ultrasound and Cavitation Phenomena 5
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- Enhanced Oil Recovery Techniques 4
- Co-authors
- Kenji SuzukiArturo MacchiAdam DonaldsonAshwani KumarPoupak MehraniAyako MatsuokaSusumu NiiMichèle C. Loewen
- Journals
- Ultrasonics Sonochemistry (4 papers)Chemical Engineering and Processing - Process Intensification (2 papers)International Journal of Multiphase Flow (2 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Deepak M. Kirpalani
26 papers receiving 448 citations
Peers
Comparison fields: 5 of 68
- Water Science and Technology 94
- Filtration and Separation 11
- Analytical Chemistry 49
- Biomedical Engineering 183
- Computational Mechanics 84
Countries citing papers authored by Deepak M. Kirpalani
This map shows the geographic impact of Deepak M. Kirpalani'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 Deepak M. Kirpalani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak M. Kirpalani more than expected).
Fields of papers citing papers by Deepak M. Kirpalani
This network shows the impact of papers produced by Deepak M. Kirpalani. 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 Deepak M. Kirpalani. The network helps show where Deepak M. Kirpalani may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Deepak M. Kirpalani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 3 | |
| 4 | 2019 | 12 | |
| 5 | 2019 | 54 | |
| 6 | 2017 | 6 | |
| 7 | 2016 | 24 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 6 | |
| 10 | 2010 | 27 | |
| 11 | 2009 | 10 | |
| 12 | 2009 | 14 | |
| 13 | 2008 | 10 | |
| 14 | 2007 | 8 | |
| 15 | 2007 | 12 | |
| 16 | 2006 | 17 | |
| 17 | 2005 | 56 | |
| 18 | 2004 | 5 | |
| 19 | 2002 | 47 | |
| 20 | 2002 | 20 |
About Deepak M. Kirpalani
Deepak M. Kirpalani is a scholar working on Analytical Chemistry, Computational Mechanics, Biomedical Engineering, Water Science and Technology and Ocean Engineering, having authored 26 papers that have together received 460 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (9 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Petroleum Processing and Analysis (5 papers), Ultrasound and Cavitation Phenomena (5 papers), Membrane Separation Technologies (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Enhanced Oil Recovery Techniques (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Water Science and Technology (94 citations), Filtration and Separation (11 citations), Analytical Chemistry (49 citations), Biomedical Engineering (183 citations) and Computational Mechanics (84 citations). Deepak M. Kirpalani has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Kenji Suzuki, Arturo Macchi, Adam Donaldson, Ashwani Kumar, Poupak Mehrani, Ayako Matsuoka, Susumu Nii, Michèle C. Loewen, Ajeet Kumar and Andy Nong. Their work appears in journals such as Ultrasonics Sonochemistry, Chemical Engineering and Processing - Process Intensification, International Journal of Multiphase Flow, Chemical Engineering & Technology and The Canadian Journal of Chemical Engineering.
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.