M. I. S. Sastry
- Filtration and Separation top 5%
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- Computational Drug Discovery Methods 4
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- Thermodynamic properties of mixtures 4
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses 6
- Petroleum Processing and Analysis 3
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 6
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- Lubricants and Their Additives 7
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- Spectroscopy and Quantum Chemical Studies 4
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- NMR spectroscopy and applications 3
- Co-authors
- Woody ShermanSteven L. DixonSurjit SinghG. S. KapurA. S. SarpalS. K. HaitS.S.V. RamakumarBiswajit Basu
- Cited by
- Filtration and SeparationComputational Theory and MathematicsFluid Flow and Transfer Processes
- Partner nations
- IndiaUnited States
In The Last Decade
M. I. S. Sastry
25 papers receiving 565 citations
Peers
Comparison fields: 5 of 94
- Filtration and Separation 28
- Computational Theory and Mathematics 182
- Fluid Flow and Transfer Processes 54
- Analytical Chemistry 63
- Spectroscopy 79
Countries citing papers authored by M. I. S. Sastry
This map shows the geographic impact of M. I. S. Sastry'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 M. I. S. Sastry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. I. S. Sastry more than expected).
Fields of papers citing papers by M. I. S. Sastry
This network shows the impact of papers produced by M. I. S. Sastry. 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 M. I. S. Sastry. The network helps show where M. I. S. Sastry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. I. S. Sastry, 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 | 2024 | 3 | |
| 2 | 2014 | 11 | |
| 3 | 2013 | 4 | |
| 4 | 2013 | 8 | |
| 5 | 2012 | 15 | |
| 6 | 2011 | 8 | |
| 7 | 2010 | 277 | |
| 8 | 2009 | 1 | |
| 9 | 2004 | 6 | |
| 10 | 2004 | 10 | |
| 11 | 2003 | 4 | |
| 12 | 2000 | 3 | |
| 13 | 1998 | 14 | |
| 14 | 1998 | 2 | |
| 15 | Analysis of cold rolling oils by NMR and IR techniques | 1996 | 2 |
| 16 | 1995 | 9 | |
| 17 | 1987 | 4 | |
| 18 | 1985 | 28 | |
| 19 | 1985 | 12 | |
| 20 | 1984 | 74 |
About M. I. S. Sastry
M. I. S. Sastry is a scholar working on Analytical Chemistry, Fluid Flow and Transfer Processes and Spectroscopy, having authored 25 papers that have together received 590 indexed citations. Recurring topics across this work include Lubricants and Their Additives (7 papers), Analytical Chemistry and Chromatography (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Computational Drug Discovery Methods (4 papers), Thermodynamic properties of mixtures (4 papers), Petroleum Processing and Analysis (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Filtration and Separation (28 citations), Computational Theory and Mathematics (182 citations) and Fluid Flow and Transfer Processes (54 citations). M. I. S. Sastry has collaborated with scholars based in India and United States. Frequent co-authors include Woody Sherman, Steven L. Dixon, Surjit Singh, G. S. Kapur, A. S. Sarpal, S. K. Hait, S.S.V. Ramakumar, Biswajit Basu, A. K. Bhatnagar and Surendra Jain. Their work appears in journals such as Food Chemistry, Journal of Catalysis and Fuel.
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.