Maitraye Sen

28 papers receiving 671 citations

Peers

Maitraye Sen
Comparison fields: 5 of 74
  • Pharmaceutical Science 110
  • Computational Mechanics 325
  • Mechanical Engineering 325
  • Control and Systems Engineering 181
  • Statistics, Probability and Uncertainty 33
Replace Patricia M. Portillo with:
Patricia M. Portillo United States
Sarang Oka United States
Dana Barrasso United States
Aditya U. Vanarase United States
M. Sebastian Escotet‐Espinoza United States
Daniel O. Blackwood United States
Vadim E. Mizonov Russia
Charles Radeke Austria
Amanda Rogers United States
Eva Siegmann United States
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Citations per field
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Citations per year

Countries citing papers authored by Maitraye Sen

Since Specialization
Citations

This map shows the geographic impact of Maitraye Sen'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 Maitraye Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maitraye Sen more than expected).

Fields of papers citing papers by Maitraye Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maitraye Sen. 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 Maitraye Sen. The network helps show where Maitraye Sen may publish in the future.

Co-authors

The 25 scholars most cited alongside Maitraye Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maitraye Sen Line = papers co-authored together Maitraye Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201471
2 201266
3 201357
4 201653
5 201451
6 201248
7 201346
8 201243
9 201337
10 201735
11 202127
12 201723
13 201521
14 201420
15
Flowsheet models modernize pharmaceutical manufacturing design and risk assessment
201517
16 202414
17 202113
18 20209
19 20168
20 20148

About Maitraye Sen

Maitraye Sen is a scholar working on Computational Mechanics, Mechanical Engineering, Control and Systems Engineering, Materials Chemistry and Pharmaceutical Science, having authored 30 papers that have together received 690 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (20 papers), Mineral Processing and Grinding (13 papers), Crystallization and Solubility Studies (7 papers), Drug Solubulity and Delivery Systems (6 papers), Advanced Control Systems Optimization (5 papers), Process Optimization and Integration (4 papers), Powder Metallurgy Techniques and Materials (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Pharmaceutical Science (110 citations), Computational Mechanics (325 citations), Mechanical Engineering (325 citations), Control and Systems Engineering (181 citations) and Statistics, Probability and Uncertainty (33 citations). Maitraye Sen has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Rohit Ramachnadran, Ravendra Singh, Anwesha Chaudhury, Marianthi Ierapetritou, Dana Barrasso, James D. Litster, Atul Dubey, Aditya U. Vanarase, Fernando J. Muzzio and Fani Boukouvala. Their work appears in journals such as Journal of Pharmaceutical Innovation, Powder Technology, International Journal of Pharmaceutics, Chemical Engineering Science and Process Safety and Environmental Protection.

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.

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