Maitraye Sen

817 total citations
27 papers, 601 citations indexed

About

Maitraye Sen is a scholar working on Computational Mechanics, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Maitraye Sen has authored 27 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 15 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Maitraye Sen's work include Granular flow and fluidized beds (19 papers), Mineral Processing and Grinding (12 papers) and Drug Solubulity and Delivery Systems (5 papers). Maitraye Sen is often cited by papers focused on Granular flow and fluidized beds (19 papers), Mineral Processing and Grinding (12 papers) and Drug Solubulity and Delivery Systems (5 papers). Maitraye Sen collaborates with scholars based in United States, India and United Kingdom. Maitraye Sen's co-authors include Rohit Ramachnadran, Ravendra Singh, Anwesha Chaudhury, Marianthi Ierapetritou, Dana Barrasso, James D. Litster, Atul Dubey, Aditya U. Vanarase, Fani Boukouvala and Anurag Tripathi and has published in prestigious journals such as International Journal of Pharmaceutics, Chemical Engineering Science and AIChE Journal.

In The Last Decade

Maitraye Sen

26 papers receiving 582 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maitraye Sen United States 15 300 292 151 89 89 27 601
Aditya U. Vanarase United States 11 383 1.3× 467 1.6× 127 0.8× 201 2.3× 162 1.8× 12 853
Daniel O. Blackwood United States 10 170 0.6× 161 0.6× 62 0.4× 131 1.5× 65 0.7× 15 468
M. Sebastian Escotet‐Espinoza United States 12 155 0.5× 193 0.7× 74 0.5× 106 1.2× 69 0.8× 17 455
Dana Barrasso United States 16 509 1.7× 408 1.4× 64 0.4× 124 1.4× 42 0.5× 21 700
Patricia M. Portillo United States 7 246 0.8× 232 0.8× 38 0.3× 70 0.8× 71 0.8× 8 397
Sarang Oka United States 11 257 0.9× 186 0.6× 31 0.2× 185 2.1× 55 0.6× 20 467
Vadim E. Mizonov Russia 13 323 1.1× 355 1.2× 26 0.2× 27 0.3× 95 1.1× 73 549
Charles Radeke Austria 8 477 1.6× 221 0.8× 15 0.1× 49 0.6× 42 0.5× 11 630
Amanda Rogers United States 6 69 0.2× 105 0.4× 124 0.8× 22 0.2× 61 0.7× 7 308
Jens Dhondt Belgium 12 187 0.6× 207 0.7× 31 0.2× 188 2.1× 34 0.4× 14 399

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-authorship network of co-authors of Maitraye Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Maitraye Sen. A scholar is included among the top collaborators of Maitraye Sen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maitraye Sen. Maitraye Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Sharma, Ankita, Jayanta Chakraborty, Anurag Tripathi, et al.. (2025). Impact of Equipment Material and Surface Finish on the Flowability of dry Cohesive Powders – an Important Consideration in Calibration of Discrete Element Models. Journal of Pharmaceutical Innovation. 20(2). 2 indexed citations
3.
Chakraborty, Jayanta, et al.. (2024). Accelerated DEM simulation of the hopper-screw feeder and tablet-press feeder using the multi-level coarse-graining technique. Powder Technology. 436. 119466–119466. 15 indexed citations
4.
Sen, Maitraye, et al.. (2022). Stochastic analysis and modeling of pharmaceutical screw feeder mass flow rates. International Journal of Pharmaceutics. 621. 121776–121776. 3 indexed citations
5.
Sen, Maitraye & Salvador García‐Muñoz. (2021). Development and implementation of a hybrid scale up model for a batch high shear wet granulation operation. AIChE Journal. 67(5). 2 indexed citations
6.
Chakraborty, Jayanta, et al.. (2021). A particle location based multi-level coarse-graining technique for Discrete Element Method (DEM) simulation. Powder Technology. 398. 117058–117058. 26 indexed citations
8.
Wade, Jon, et al.. (2020). Exploring the wet granulation growth regime map – validating the boundary between nucleation and induction. Process Safety and Environmental Protection. 156. 469–477. 9 indexed citations
9.
Sen, Maitraye, et al.. (2017). Granule breakage in twin screw granulation: Effect of material properties and screw element geometry. Powder Technology. 315. 290–299. 22 indexed citations
11.
Sen, Maitraye. (2015). Multiscale modeling and validation of particulate processes. Rutgers University Community Repository (Rutgers University). 1 indexed citations
12.
Singh, Ravendra, Maitraye Sen, Marianthi Ierapetritou, & Rohit Ramachnadran. (2015). Integrated Moving Horizon-Based Dynamic Real-Time Optimization and Hybrid MPC-PID Control of a Direct Compaction Continuous Tablet Manufacturing Process. Journal of Pharmaceutical Innovation. 10(3). 233–253. 16 indexed citations
13.
Sen, Maitraye, Ravendra Singh, & Rohit Ramachnadran. (2014). A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients. Processes. 2(2). 392–418. 19 indexed citations
14.
Sen, Maitraye, Ravendra Singh, & Rohit Ramachnadran. (2014). Simulation-Based Design of an Efficient Control System for the Continuous Purification and Processing of Active Pharmaceutical Ingredients. Journal of Pharmaceutical Innovation. 9(1). 65–81. 8 indexed citations
15.
Singh, Ravendra, Dana Barrasso, Anwesha Chaudhury, et al.. (2014). Closed-Loop Feedback Control of a Continuous Pharmaceutical Tablet Manufacturing Process via Wet Granulation. Journal of Pharmaceutical Innovation. 9(1). 16–37. 41 indexed citations
16.
Sen, Maitraye, et al.. (2013). Multi-scale flowsheet simulation of an integrated continuous purification–downstream pharmaceutical manufacturing process. International Journal of Pharmaceutics. 445(1-2). 29–38. 32 indexed citations
17.
Sen, Maitraye, Amanda Rogers, Ravendra Singh, et al.. (2013). Flowsheet optimization of an integrated continuous purification-processing pharmaceutical manufacturing operation. Chemical Engineering Science. 102. 56–66. 40 indexed citations
18.
Boukouvala, Fani, et al.. (2013). Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation. Journal of Pharmaceutical Innovation. 8(1). 11–27. 48 indexed citations
19.
Sen, Maitraye, et al.. (2012). Multi-dimensional population balance modeling and experimental validation of continuous powder mixing processes. Chemical Engineering Science. 80. 349–360. 42 indexed citations
20.
Sen, Maitraye & Rohit Ramachnadran. (2012). A multi-dimensional population balance model approach to continuous powder mixing processes. Advanced Powder Technology. 24(1). 51–59. 62 indexed citations

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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