P. S. T. Sai
- Filtration and Separation top 2%
- Computational Mechanics top 2%
- Granular flow and fluidized beds 19
- Cyclone Separators and Fluid Dynamics 11
- Heat and Mass Transfer in Porous Media 7
- Catalysis top 10%
- Ionic liquids properties and applications 8
- Mechanical Engineering top 10%
- Mineral Processing and Grinding 14
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- Fluid Dynamics and Mixing 11
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- Minerals Flotation and Separation Techniques 9
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- Process Optimization and Integration 7
- Co-authors
- A.R. BalakrishnanY. B. G. VarmaK. KrishnaiahA. D. DamodaranG. D. SurenderZeno PhilipShantanu RoyS. V. Ramakrishna
- Journals
- The Canadian Journal of Chemical Engineering (8 papers)Chemical Engineering Journal (8 papers)Bioprocess and Biosystems Engineering (3 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
P. S. T. Sai
53 papers receiving 747 citations
Peers
Comparison fields: 5 of 67
- Filtration and Separation 77
- Computational Mechanics 365
- Catalysis 108
- Fluid Flow and Transfer Processes 79
- Mechanical Engineering 289
Countries citing papers authored by P. S. T. Sai
This map shows the geographic impact of P. S. T. Sai'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 P. S. T. Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. S. T. Sai more than expected).
Fields of papers citing papers by P. S. T. Sai
This network shows the impact of papers produced by P. S. T. Sai. 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 P. S. T. Sai. The network helps show where P. S. T. Sai may publish in the future.
Co-authorship network
The 23 scholars most cited alongside P. S. T. Sai, 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 | 2025 | 0 | |
| 2 | 2022 | 0 | |
| 3 | Factors Effecting Efficiency Prediction of Limestone-gypsum Wet Flue Gas Desulphurization Based on Oxidation Reaction | 2021 | 1 |
| 4 | 2019 | 0 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 2 | |
| 7 | 2014 | 11 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 16 | |
| 10 | 2011 | 9 | |
| 11 | 2007 | 21 | |
| 12 | 2007 | 33 | |
| 13 | 2004 | 8 | |
| 14 | 1999 | 4 | |
| 15 | 1997 | 3 | |
| 16 | 1991 | 3 | |
| 17 | 1991 | 16 | |
| 18 | 1991 | 1 | |
| 19 | 1990 | 55 | |
| 20 | 1987 | 51 |
About P. S. T. Sai
P. S. T. Sai is a scholar working on Filtration and Separation, Computational Mechanics and Catalysis, having authored 56 papers that have together received 770 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (19 papers), Mineral Processing and Grinding (14 papers), Cyclone Separators and Fluid Dynamics (11 papers), Fluid Dynamics and Mixing (11 papers), Minerals Flotation and Separation Techniques (9 papers), Ionic liquids properties and applications (8 papers), Heat and Mass Transfer in Porous Media (7 papers) and Process Optimization and Integration (7 papers). The work is most often cited by research in Filtration and Separation (77 citations), Computational Mechanics (365 citations) and Catalysis (108 citations). P. S. T. Sai has collaborated with scholars based in India, Australia and United States. Frequent co-authors include A.R. Balakrishnan, Y. B. G. Varma, K. Krishnaiah, A. D. Damodaran, G. D. Surender, Zeno Philip, Shantanu Roy, S. V. Ramakrishna, S. Jayanti and T. Prasada Rao. Their work appears in journals such as The Canadian Journal of Chemical Engineering, Chemical Engineering Journal, Bioprocess and Biosystems Engineering, Industrial & Engineering Chemistry Research and Chemical Engineering Science.
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.