Pankaj Doshi

1.6k total citations
60 papers, 1.2k citations indexed

About

Pankaj Doshi is a scholar working on Computational Mechanics, Mechanical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Pankaj Doshi has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 14 papers in Mechanical Engineering and 12 papers in Fluid Flow and Transfer Processes. Recurrent topics in Pankaj Doshi's work include Granular flow and fluidized beds (18 papers), Rheology and Fluid Dynamics Studies (12 papers) and Fluid Dynamics and Heat Transfer (10 papers). Pankaj Doshi is often cited by papers focused on Granular flow and fluidized beds (18 papers), Rheology and Fluid Dynamics Studies (12 papers) and Fluid Dynamics and Heat Transfer (10 papers). Pankaj Doshi collaborates with scholars based in United States, India and United Kingdom. Pankaj Doshi's co-authors include Osman A. Basaran, Ronald Suryo, K. V. Venkatesh, Dalibor Jajčević, Peter Toson, Sumeet Thete, Yong Kuen Ho, Harshawardhan Pol, Ashish V. Orpe and Raghunathan Rengaswamy and has published in prestigious journals such as Science, Langmuir and Industrial & Engineering Chemistry Research.

In The Last Decade

Pankaj Doshi

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Doshi United States 22 605 251 240 209 206 60 1.2k
Richard A. Cairncross United States 21 302 0.5× 415 1.7× 236 1.0× 144 0.7× 195 0.9× 57 1.3k
Bodhisattwa Chaudhuri United States 24 1.0k 1.7× 414 1.6× 548 2.3× 175 0.8× 146 0.7× 74 1.8k
Jinlin Wang China 14 211 0.3× 713 2.8× 551 2.3× 344 1.6× 320 1.6× 60 1.5k
B. Philipp Germany 17 331 0.5× 707 2.8× 211 0.9× 150 0.7× 172 0.8× 99 2.3k
Mary T. am Ende United States 13 267 0.4× 229 0.9× 181 0.8× 35 0.2× 80 0.4× 20 959
Pavel Kuzhir France 24 259 0.4× 848 3.4× 285 1.2× 100 0.5× 139 0.7× 87 1.7k
Sadegh Poozesh United States 17 233 0.4× 237 0.9× 465 1.9× 190 0.9× 135 0.7× 32 1.1k
Jie Peng China 15 187 0.3× 143 0.6× 164 0.7× 255 1.2× 146 0.7× 68 813
Mikko Juuti Finland 17 283 0.5× 170 0.7× 223 0.9× 73 0.3× 82 0.4× 41 889
Patrick A.C. Gane Finland 19 240 0.4× 234 0.9× 94 0.4× 242 1.2× 180 0.9× 101 1.5k

Countries citing papers authored by Pankaj Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Doshi

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Doshi. A scholar is included among the top collaborators of Pankaj Doshi 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 Pankaj Doshi. Pankaj Doshi 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.
Mullarney, Matthew P., et al.. (2024). A quantitative model to predict the effect of magnesium stearate on punch sticking. Powder Technology. 437. 119531–119531.
2.
Doshi, Pankaj, et al.. (2024). Exploring pharmaceutical powder behavior in commercial-scale bin blending: A DEM simulation study. European Journal of Pharmaceutical Sciences. 204. 106950–106950. 3 indexed citations
3.
Doshi, Pankaj, Kai Lee, Martin Rowland, et al.. (2024). Mechanistic modeling of twin screw wet granulation for pharmaceutical formulations: Calibration, sensitivity analysis, and model-driven workflow. International Journal of Pharmaceutics. 659. 124246–124246. 1 indexed citations
4.
Chakroborty, Subhendu, Pankaj Doshi, Prakash Chandra, et al.. (2024). Investigating CuO‐ZrO2 Mixed Metal Oxide Nanocomposites for Electrochemical Sensing of Food Colors. Luminescence. 39(12). e70061–e70061.
5.
Tirumkudulu, Mahesh S., et al.. (2023). A model to predict drug release from a single-layer osmotic controlled-release tablet. Journal of Drug Delivery Science and Technology. 80. 104138–104138. 3 indexed citations
6.
Verrier, Hugh, et al.. (2022). Digital twin of a continuous direct compression line for drug product and process design using a hybrid flowsheet modelling approach. International Journal of Pharmaceutics. 628. 122336–122336. 38 indexed citations
7.
Tirumkudulu, Mahesh S., et al.. (2022). Experimental Evaluation of the Impact of Rapid Environmental Changes on Stress Distribution in Tablet Coatings. AAPS PharmSciTech. 24(1). 30–30. 2 indexed citations
8.
Doshi, Pankaj, et al.. (2022). Development of a predictive model for gravimetric powder feeding from an API-rich materials properties library. International Journal of Pharmaceutics. 625. 122071–122071. 7 indexed citations
9.
10.
Tirumkudulu, Mahesh S., et al.. (2022). Osmotic tablet coatings: Drying stress, mechanical properties and microstructure. International Journal of Pharmaceutics. 617. 121611–121611. 3 indexed citations
11.
Kushwah, Varun, Harald Plank, I. Ardelean, et al.. (2020). Evolution of the microstructure and the drug release upon annealing the drug loaded lipid-surfactant microspheres. European Journal of Pharmaceutical Sciences. 147. 105278–105278. 14 indexed citations
12.
Orpe, Ashish V. & Pankaj Doshi. (2019). Friction-mediated flow and jamming in a two-dimensional silo with two exit orifices. Physical review. E. 100(1). 12901–12901. 5 indexed citations
13.
Khinast, Johannes, et al.. (2018). Computational Fluid Dynamics-Discrete Element Method Modeling of an Industrial-Scale Wurster Coater. Journal of Pharmaceutical Sciences. 108(1). 538–550. 29 indexed citations
14.
Arora, Akash & Pankaj Doshi. (2016). Fingering instability in the flow of a power-law fluid on a rotating disc. Physics of Fluids. 28(1). 9 indexed citations
15.
Thete, Sumeet, et al.. (2015). Self-similar rupture of thin free films of power-law fluids. Physical Review E. 92(2). 23014–23014. 18 indexed citations
16.
Doshi, Pankaj, et al.. (2014). Flow of granular matter in a silo with multiple exit orifices: Jamming to mixing. Physical Review E. 90(6). 62206–62206. 15 indexed citations
17.
Doshi, Pankaj, et al.. (2014). Dripping dynamics of Newtonian liquids from a tilted nozzle. European Journal of Mechanics - B/Fluids. 51. 8–15. 8 indexed citations
18.
Doshi, Pankaj, Itai Cohen, Wendy Zhang, et al.. (2003). Non-Universal Drop Break-Up. APS Division of Fluid Dynamics Meeting Abstracts. 56. 1 indexed citations
19.
Venkatesh, K. V., Paike Jayadeva Bhat, Raj Kumar, & Pankaj Doshi. (1999). Quantitative Model for Gal4p-Mediated Expression of the Galactose/Melibiose Regulon in Saccharomyces cerevisiae. Biotechnology Progress. 15(1). 51–57. 14 indexed citations
20.
Venkatesh, K. V., Pankaj Doshi, & Raghunathan Rengaswamy. (1997). An optimal strategy to model microbial growth in a multiple substrate environment. Biotechnology and Bioengineering. 56(6). 635–644. 35 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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