Ranjeet P. Utikar

2.0k total citations
68 papers, 1.6k citations indexed

About

Ranjeet P. Utikar is a scholar working on Computational Mechanics, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, Ranjeet P. Utikar has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 24 papers in Biomedical Engineering and 14 papers in Ocean Engineering. Recurrent topics in Ranjeet P. Utikar's work include Granular flow and fluidized beds (19 papers), Fluid Dynamics and Mixing (18 papers) and Particle Dynamics in Fluid Flows (12 papers). Ranjeet P. Utikar is often cited by papers focused on Granular flow and fluidized beds (19 papers), Fluid Dynamics and Mixing (18 papers) and Particle Dynamics in Fluid Flows (12 papers). Ranjeet P. Utikar collaborates with scholars based in Australia, India and United Kingdom. Ranjeet P. Utikar's co-authors include Vishnu Pareek, Geoffrey M. Evans, Moses O. Tadé, Milinkumar T. Shah, Vivek V. Ranade, Jyeshtharaj B. Joshi, Monica Gumulya, Biao Sun, Yogesh M. Harshe and Subhasish Mitra and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Ranjeet P. Utikar

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjeet P. Utikar Australia 24 886 554 392 337 188 68 1.6k
Louis Fradette Canada 25 614 0.7× 781 1.4× 450 1.1× 259 0.8× 170 0.9× 77 1.7k
Hongchao Yin China 28 496 0.6× 914 1.6× 456 1.2× 146 0.4× 189 1.0× 102 2.1k
Abdelsalam Al‐Sarkhi Saudi Arabia 29 656 0.7× 1.0k 1.9× 1.0k 2.6× 671 2.0× 153 0.8× 125 2.4k
Ludovic Raynal France 24 608 0.7× 875 1.6× 1.0k 2.6× 139 0.4× 188 1.0× 34 2.0k
Indarto Indarto Indonesia 19 403 0.5× 708 1.3× 385 1.0× 236 0.7× 102 0.5× 115 1.1k
Frédéric Augier France 27 812 0.9× 850 1.5× 360 0.9× 328 1.0× 84 0.4× 61 1.6k
Antonio Carlos Bannwart Brazil 28 600 0.7× 996 1.8× 772 2.0× 1.1k 3.3× 163 0.9× 108 2.3k
Paolo Tartarini Italy 25 468 0.5× 505 0.9× 378 1.0× 125 0.4× 430 2.3× 122 1.7k
Zhengming Gao China 27 947 1.1× 1.3k 2.4× 581 1.5× 277 0.8× 139 0.7× 135 1.9k
Xigang Yuan China 23 546 0.6× 738 1.3× 826 2.1× 98 0.3× 89 0.5× 82 1.7k

Countries citing papers authored by Ranjeet P. Utikar

Since Specialization
Citations

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

Fields of papers citing papers by Ranjeet P. Utikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjeet P. Utikar. 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 Ranjeet P. Utikar. The network helps show where Ranjeet P. Utikar may publish in the future.

Co-authorship network of co-authors of Ranjeet P. Utikar

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjeet P. Utikar. A scholar is included among the top collaborators of Ranjeet P. Utikar 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 Ranjeet P. Utikar. Ranjeet P. Utikar 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.
Calo, Victor M., et al.. (2023). Three-dimensional experimental-scale phase-field modeling of dendrite formation in rechargeable lithium-metal batteries. Journal of Energy Storage. 62. 106854–106854. 14 indexed citations
3.
Calo, Victor M., et al.. (2022). Dendrite formation in rechargeable lithium-metal batteries: Phase-field modeling using open-source finite element library. Journal of Energy Storage. 53. 104892–104892. 21 indexed citations
4.
Johnson, Stuart, et al.. (2021). Antidiabetic effects and mechanisms of action of γ-conglutin from lupin seeds. Journal of Functional Foods. 87. 104786–104786. 11 indexed citations
5.
Mazur, Maciej, Tejas Bhatelia, Jim Patel, et al.. (2019). Additively manufactured, highly-uniform flow distributor for process intensification. Chemical Engineering and Processing - Process Intensification. 143. 107595–107595. 20 indexed citations
6.
Sun, Biao, et al.. (2019). Multiphase simulation of LNG vapour dispersion with effect of fog formation. Applied Thermal Engineering. 166. 114671–114671. 18 indexed citations
7.
8.
Shah, Milinkumar T., et al.. (2018). Estimation of Bubble Properties in Bubbling Fluidized Bed Using ECVT Measurements. Industrial & Engineering Chemistry Research. 57(24). 8319–8333. 23 indexed citations
9.
Gumulya, Monica, Ranjeet P. Utikar, Geoffrey M. Evans, Jyeshtharaj B. Joshi, & Vishnu Pareek. (2017). Interaction of bubbles rising inline in quiescent liquid. Chemical Engineering Science. 166. 1–10. 43 indexed citations
10.
Utikar, Ranjeet P. & Vivek V. Ranade. (2017). Correction to “Intensifying Multiphase Reactions and Reactors: Strategies and Examples”. ACS Sustainable Chemistry & Engineering. 5(7). 6356–6356. 1 indexed citations
11.
Johnson, Stuart, et al.. (2017). Lupin seed γ-conglutin: Extraction and purification methods - A review. Trends in Food Science & Technology. 73. 1–11. 31 indexed citations
12.
Bringans, Scott, et al.. (2017). Reverse phase HPLC method for detection and quantification of lupin seed γ-conglutin. Journal of Chromatography B. 1063. 123–129. 6 indexed citations
13.
Tadé, Moses O., et al.. (2015). Modeling and optimization of Carbon in leach (CIL) circuit for gold recovery. Minerals Engineering. 83. 136–148. 7 indexed citations
14.
Gumulya, Monica, Ranjeet P. Utikar, Vishnu Pareek, et al.. (2014). Modelling of the interaction between a falling n-heptane droplet and hot solid surface. Chemical Engineering Science. 116. 23–37. 7 indexed citations
15.
Sun, Biao, Ranjeet P. Utikar, Vishnu Pareek, & Kaihua Guo. (2012). Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies. Journal of Loss Prevention in the Process Industries. 26(1). 117–128. 46 indexed citations
16.
Shah, Milinkumar T., Ranjeet P. Utikar, Moses O. Tadé, Vishnu Pareek, & Geoffrey M. Evans. (2011). Simulation of gas–solid flows in riser using energy minimization multiscale model: Effect of cluster diameter correlation. Chemical Engineering Science. 66(14). 3291–3300. 32 indexed citations
17.
Shah, Milinkumar T., Ranjeet P. Utikar, Geoffrey M. Evans, Moses O. Tadé, & Vishnu Pareek. (2011). Effect of Inlet Boundary Conditions on Computational Fluid Dynamics (CFD) Simulations of Gas–Solid Flows in Risers. Industrial & Engineering Chemistry Research. 51(4). 1721–1728. 17 indexed citations
18.
Shah, Milinkumar T., et al.. (2010). Gas–solid flow hydrodynamics of an industrial scale catalyst lift engager. Chemical Engineering Journal. 159(1-3). 138–148. 5 indexed citations
19.
Bhatelia, Tejas, Ranjeet P. Utikar, Vishnu Pareek, & Moses O. Tadé. (2009). Hydrodynamics of slug flow in capillary microchannels. eSpace (Curtin University). 1. 1–9. 4 indexed citations
20.
Utikar, Ranjeet P. & Vivek V. Ranade. (2006). Single jet fluidized beds: Experiments and CFD simulations with glass and polypropylene particles. Chemical Engineering Science. 62(1-2). 167–183. 56 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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