Maitraye Sen

26 papers receiving 582 citations

Peers

Maitraye Sen
Comparison fields: 5 of 72
  • Computational Mechanics 300
  • Pharmaceutical Science 89
  • Mechanical Engineering 292
  • Control and Systems Engineering 151
  • Statistics, Probability and Uncertainty 29
Replace Patricia M. Portillo with:
Patricia M. Portillo United States
Sarang Oka United States
Dana Barrasso United States
M. Sebastian Escotet‐Espinoza United States
Aditya U. Vanarase United States
Daniel O. Blackwood United States
Vadim E. Mizonov Russia
Charles Radeke Austria
Amanda Rogers United States
Jens Dhondt Belgium
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 201461
3 201648
4 201348
5 201242
6 201441
7 201340
8 201233
9 201332
10 201732
11 202126
12 201722
13 201419
14 201516
15 202415
16
Flowsheet models modernize pharmaceutical manufacturing design and risk assessment
201513
17 202111
18 20209
19 20148
20 20168

About Maitraye Sen

Maitraye Sen is a scholar working on Computational Mechanics, Mechanical Engineering, Control and Systems Engineering, Pharmaceutical Science and Materials Chemistry, having authored 27 papers that have together received 601 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (19 papers), Mineral Processing and Grinding (12 papers), Drug Solubulity and Delivery Systems (5 papers), Crystallization and Solubility Studies (5 papers), Advanced Control Systems Optimization (4 papers), Process Optimization and Integration (4 papers), Powder Metallurgy Techniques and Materials (3 papers) and Rheology and Fluid Dynamics Studies (2 papers). The work is most often cited by research in Computational Mechanics (300 citations), Pharmaceutical Science (89 citations), Mechanical Engineering (292 citations), Control and Systems Engineering (151 citations) and Statistics, Probability and Uncertainty (29 citations). Maitraye Sen has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Rohit Ramachnadran, Ravendra Singh, Anwesha Chaudhury, Marianthi Ierapetritou, Dana Barrasso, James D. Litster, Aditya U. Vanarase, Atul Dubey, Fernando J. Muzzio and Fani Boukouvala. Their work appears in journals such as Journal of Pharmaceutical Innovation, Powder Technology, International Journal of Pharmaceutics, Process Safety and Environmental Protection 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.

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