Upendra Bhandarkar

1.7k total citations
72 papers, 1.4k citations indexed

About

Upendra Bhandarkar is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, Upendra Bhandarkar has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 24 papers in Applied Mathematics and 23 papers in Aerospace Engineering. Recurrent topics in Upendra Bhandarkar's work include Gas Dynamics and Kinetic Theory (24 papers), Plasma and Flow Control in Aerodynamics (13 papers) and Advanced Machining and Optimization Techniques (10 papers). Upendra Bhandarkar is often cited by papers focused on Gas Dynamics and Kinetic Theory (24 papers), Plasma and Flow Control in Aerodynamics (13 papers) and Advanced Machining and Optimization Techniques (10 papers). Upendra Bhandarkar collaborates with scholars based in India, United States and United Arab Emirates. Upendra Bhandarkar's co-authors include Suhas S. Joshi, Uwe Kortshagen, Deepak Marla, Bhalchandra Puranik, Steven L. Girshick, Amit Agrawal, Mark T. Swihart, Sandeep Kumar, Milind Sohoni and Kaustubh C. Patankar and has published in prestigious journals such as The Journal of Chemical Physics, Environmental Science & Technology and Journal of Applied Physics.

In The Last Decade

Upendra Bhandarkar

71 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Upendra Bhandarkar India 19 475 438 398 335 326 72 1.4k
Murat Barışık Türkiye 24 768 1.6× 238 0.5× 237 0.6× 293 0.9× 701 2.2× 57 1.6k
Masahito Tagawa Japan 27 340 0.7× 394 0.9× 503 1.3× 435 1.3× 981 3.0× 128 2.1k
Zhi Liang United States 21 367 0.8× 154 0.4× 199 0.5× 233 0.7× 518 1.6× 48 1.1k
Gyoko Nagayama Japan 12 362 0.8× 140 0.3× 306 0.8× 363 1.1× 201 0.6× 50 1.0k
Nikolai V. Priezjev United States 26 698 1.5× 247 0.6× 535 1.3× 671 2.0× 893 2.7× 74 2.1k
Masaya SHIGETA Japan 24 267 0.6× 345 0.8× 341 0.9× 657 2.0× 450 1.4× 126 1.9k
Ching-Yen Ho Taiwan 19 371 0.8× 300 0.7× 375 0.9× 886 2.6× 749 2.3× 52 2.0k
James E. Sprittles United Kingdom 21 240 0.5× 422 1.0× 1.1k 2.7× 123 0.4× 176 0.5× 62 1.5k
David Lacroix France 24 208 0.4× 212 0.5× 304 0.8× 263 0.8× 934 2.9× 93 1.6k
Robert J. Cattolica United States 23 462 1.0× 244 0.6× 836 2.1× 221 0.7× 211 0.6× 71 1.6k

Countries citing papers authored by Upendra Bhandarkar

Since Specialization
Citations

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

Fields of papers citing papers by Upendra Bhandarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upendra Bhandarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Upendra Bhandarkar. A scholar is included among the top collaborators of Upendra Bhandarkar 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 Upendra Bhandarkar. Upendra Bhandarkar 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.
Kumar, Vinay, et al.. (2023). Cartesian grid-based hybrid NS-DSMC methodology for continuum-rarefied gas flows around complex geometries. Numerical Heat Transfer Part B Fundamentals. 85(7). 883–905. 1 indexed citations
2.
Kumar, Vinay, Upendra Bhandarkar, Raj Kumar Singh, & Atul Sharma. (2021). Cut-cell-based Direct Simulation Monte Carlo method on a Cartesian grid for rarefied gas flow around complex geometries. Sadhana. 46(3). 1 indexed citations
3.
Bhandarkar, Upendra, et al.. (2020). Collision cross sections and nonequilibrium viscosity coefficients of N2 and O2 based on molecular dynamics. Physics of Fluids. 32(3). 19 indexed citations
4.
Bhandarkar, Upendra, et al.. (2020). Characterization of Surface Topographies Generated using Circular- and Cylindrical-Face EDT. Surface Topography Metrology and Properties. 8(4). 45018–45018. 3 indexed citations
5.
Dutta, Suryendu, et al.. (2019). Assessment of carbonization of coal as a potential strategy to reduce emissions for domestic applications. Atmospheric Pollution Research. 10(6). 1745–1754. 11 indexed citations
6.
Bhandarkar, Upendra, et al.. (2019). Surface integrity and wafer-thickness variation analysis of ultra-thin silicon wafers sliced using wire-EDM. Advances in Materials and Processing Technologies. 5(3). 512–525. 4 indexed citations
7.
Bhandarkar, Upendra, et al.. (2018). Dissociation cross section for high energy O2–O2 collisions. The Journal of Chemical Physics. 148(14). 144305–144305. 8 indexed citations
8.
Bhandarkar, Upendra, et al.. (2018). Global potential energy surface of ground state singlet spin O4. The Journal of Chemical Physics. 148(7). 74305–74305. 9 indexed citations
9.
Agrawal, Amit, et al.. (2018). 3D study of temperature drop behavior of subsonic rarefied gas flow in microchannel. Numerical Heat Transfer Part A Applications. 73(9). 654–665. 6 indexed citations
10.
Bhandarkar, Upendra, et al.. (2018). Investigation of Interaction of Rocket Plume with Dusty Lunar Surface. Bulletin of the American Physical Society. 1 indexed citations
11.
Bhandarkar, Upendra, et al.. (2017). An ab initio chemical reaction model for the direct simulation Monte Carlo study of non-equilibrium nitrogen flows. The Journal of Chemical Physics. 147(8). 12 indexed citations
12.
Agrawal, Amit, et al.. (2017). Rarefied gas flow in converging microchannel in slip and early transition regimes. Physics of Fluids. 29(3). 18 indexed citations
13.
Bhandarkar, Upendra, et al.. (2017). Dissociation cross sections for N2 + N → 3N and O2 + O → 3O using the QCT method. The Journal of Chemical Physics. 146(20). 204307–204307. 27 indexed citations
14.
Bhandarkar, Upendra, et al.. (2017). Experimental study of heat transfer in rarefied gas flow in a circular tube with constant wall temperature. Experimental Thermal and Fluid Science. 93. 326–333. 18 indexed citations
15.
Agrawal, Amit, et al.. (2017). Simulation of a temperature drop for the flow of rarefied gases in microchannels. Numerical Heat Transfer Part A Applications. 71(10). 1066–1079. 15 indexed citations
16.
Sohoni, Milind, et al.. (2017). Selection of development agenda with the community by the generation of a shared understanding. Journal of rural and community development. 12(1). 2 indexed citations
17.
Agrawal, Amit, et al.. (2016). Investigation of rarefied gas flow in microchannels of non-uniform cross section. Physics of Fluids. 28(2). 34 indexed citations
18.
Puranik, Bhalchandra, et al.. (2015). A hybrid MD-DSMC coupling method to investigate flow characteristics of micro-devices. Journal of Computational Physics. 302. 603–617. 11 indexed citations
19.
20.
Kortshagen, Uwe & Upendra Bhandarkar. (1999). Modeling of particulate coagulation in low pressure plasmas. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 887–898. 171 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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