Amit Mehrotra

675 total citations
10 papers, 566 citations indexed

About

Amit Mehrotra is a scholar working on Computational Mechanics, Food Science and Fluid Flow and Transfer Processes. According to data from OpenAlex, Amit Mehrotra has authored 10 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Food Science and 2 papers in Fluid Flow and Transfer Processes. Recurrent topics in Amit Mehrotra's work include Granular flow and fluidized beds (7 papers), Rheology and Fluid Dynamics Studies (2 papers) and Fluid Dynamics and Heat Transfer (2 papers). Amit Mehrotra is often cited by papers focused on Granular flow and fluidized beds (7 papers), Rheology and Fluid Dynamics Studies (2 papers) and Fluid Dynamics and Heat Transfer (2 papers). Amit Mehrotra collaborates with scholars based in United States, United Kingdom and Netherlands. Amit Mehrotra's co-authors include Fernando J. Muzzio, M. Silvina Tomassone, Bodhisattwa Chaudhuri, William C. Stagner, Stephen V. Hammond, Troy Shinbrot, Vijay Kumar, Lipika Chablani, Michael G. Levin and Marcos Llusá and has published in prestigious journals such as Physical Review Letters, International Journal of Pharmaceutics and Chemical Engineering Science.

In The Last Decade

Amit Mehrotra

10 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Mehrotra United States 10 303 198 151 90 84 10 566
James V. Scicolone United States 13 224 0.7× 210 1.1× 177 1.2× 77 0.9× 82 1.0× 28 549
Laila J. Jallo United States 11 237 0.8× 170 0.9× 253 1.7× 93 1.0× 34 0.4× 14 711
Juan G. Osorio United States 12 198 0.7× 159 0.8× 132 0.9× 125 1.4× 59 0.7× 14 497
Marcos Llusá Austria 13 160 0.5× 111 0.6× 153 1.0× 66 0.7× 48 0.6× 21 400
Sarang Oka United States 11 257 0.8× 186 0.9× 185 1.2× 55 0.6× 40 0.5× 20 467
Andy Ingram United Kingdom 13 336 1.1× 255 1.3× 204 1.4× 60 0.7× 23 0.3× 24 526
Ingela Niklasson Björn Sweden 16 421 1.4× 180 0.9× 60 0.4× 90 1.0× 40 0.5× 27 602
Ariel R. Muliadi United States 10 112 0.4× 129 0.7× 98 0.6× 87 1.0× 64 0.8× 20 439
N. Harnby United Kingdom 12 328 1.1× 212 1.1× 88 0.6× 62 0.7× 23 0.3× 20 618
Maunu Toiviainen Finland 11 203 0.7× 195 1.0× 177 1.2× 59 0.7× 126 1.5× 20 522

Countries citing papers authored by Amit Mehrotra

Since Specialization
Citations

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

Fields of papers citing papers by Amit Mehrotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Mehrotra

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Mehrotra. A scholar is included among the top collaborators of Amit Mehrotra 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 Amit Mehrotra. Amit Mehrotra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Chablani, Lipika, et al.. (2011). Inline Real-Time Near-Infrared Granule Moisture Measurements of a Continuous Granulation–Drying–Milling Process. AAPS PharmSciTech. 12(4). 1050–1055. 67 indexed citations
3.
Chaudhuri, Bodhisattwa, et al.. (2010). Constitutive model to predict flow of cohesive powders in bench scale hoppers. Chemical Engineering Science. 65(10). 3341–3351. 17 indexed citations
4.
Mehrotra, Amit, et al.. (2010). Use of Commercial Data Loggers to Develop Process Understanding in Pharmaceutical Unit Operations. Journal of Pharmaceutical Innovation. 5(4). 169–180. 14 indexed citations
5.
Mehrotra, Amit & Fernando J. Muzzio. (2009). Comparing mixing performance of uniaxial and biaxial bin blenders. Powder Technology. 196(1). 1–7. 24 indexed citations
6.
Mehrotra, Amit, et al.. (2008). A modeling approach for understanding effects of powder flow properties on tablet weight variability. Powder Technology. 188(3). 295–300. 45 indexed citations
7.
Mehrotra, Amit, Fernando J. Muzzio, & Troy Shinbrot. (2007). Spontaneous Separation of Charged Grains. Physical Review Letters. 99(5). 58001–58001. 46 indexed citations
8.
Mehrotra, Amit, et al.. (2006). Influence of shear intensity and total shear on properties of blends and tablets of lactose and cellulose lubricated with magnesium stearate. International Journal of Pharmaceutics. 336(2). 284–291. 63 indexed citations
9.
Mehrotra, Amit, et al.. (2006). Effect of moisture and magnesium stearate concentration on flow properties of cohesive granular materials. International Journal of Pharmaceutics. 336(2). 338–345. 89 indexed citations
10.
Chaudhuri, Bodhisattwa, Amit Mehrotra, Fernando J. Muzzio, & M. Silvina Tomassone. (2006). Cohesive effects in powder mixing in a tumbling blender. Powder Technology. 165(2). 105–114. 143 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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