J.C. Mandal

1.4k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

J.C. Mandal is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, J.C. Mandal has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Mechanics, 15 papers in Applied Mathematics and 4 papers in Aerospace Engineering. Recurrent topics in J.C. Mandal's work include Computational Fluid Dynamics and Aerodynamics (28 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Gas Dynamics and Kinetic Theory (15 papers). J.C. Mandal is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (28 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Gas Dynamics and Kinetic Theory (15 papers). J.C. Mandal collaborates with scholars based in India and United States. J.C. Mandal's co-authors include J. S. Jayakumar, Sanjay M. Mahajani, S. M. Deshpande, P.K. Vijayan, Rohidas Bhoi, P.K. Vijayan, Kannan N. Iyer, Chandrakant Sonawane, V. D. Sharma and Siva Parameswaran and has published in prestigious journals such as Journal of Computational Physics, Physics of Fluids and Computers & Chemical Engineering.

In The Last Decade

J.C. Mandal

36 papers receiving 989 citations

Hit Papers

Experimental and CFD estimation of heat transfer in helic... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.C. Mandal India 15 632 441 320 277 143 36 1.1k
M. Keyhani United States 17 450 0.7× 507 1.1× 475 1.5× 85 0.3× 215 1.5× 78 1.1k
W. Q. Tao China 20 639 1.0× 845 1.9× 413 1.3× 57 0.2× 119 0.8× 48 1.4k
Igor V. Shevchuk Ukraine 26 1.3k 2.1× 1.3k 3.0× 992 3.1× 84 0.3× 359 2.5× 115 1.9k
Jiaheng Chen China 20 111 0.2× 677 1.5× 153 0.5× 66 0.2× 153 1.1× 59 1.0k
Françoise Bataille France 19 576 0.9× 456 1.0× 162 0.5× 34 0.1× 148 1.0× 85 948
Matteo Pini Netherlands 19 444 0.7× 443 1.0× 72 0.2× 107 0.4× 374 2.6× 68 864
Zhu Huang China 14 224 0.4× 179 0.4× 156 0.5× 153 0.6× 157 1.1× 47 508
Mohammad Jafari Iran 17 360 0.6× 504 1.1× 364 1.1× 27 0.1× 108 0.8× 59 959
Jean-François Dietiker United States 16 604 1.0× 189 0.4× 170 0.5× 77 0.3× 139 1.0× 48 769
Hongyan Huang China 22 692 1.1× 408 0.9× 327 1.0× 46 0.2× 410 2.9× 98 1.3k

Countries citing papers authored by J.C. Mandal

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Mandal. 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 J.C. Mandal. The network helps show where J.C. Mandal may publish in the future.

Co-authorship network of co-authors of J.C. Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Mandal. A scholar is included among the top collaborators of J.C. Mandal 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 J.C. Mandal. J.C. Mandal 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.
Mandal, J.C., et al.. (2024). Stability evaluation of approximate Riemann solvers using the direct Lyapunov method. Journal of Computational Physics. 522. 113599–113599. 1 indexed citations
2.
Parameswaran, Siva & J.C. Mandal. (2023). A conservative finite volume method for incompressible two-phase flows on unstructured meshes. Numerical Heat Transfer Part B Fundamentals. 85(4). 426–453. 1 indexed citations
3.
Mandal, J.C., et al.. (2023). Effect of shock structure on instability in HLL-family schemes. 3 indexed citations
4.
Mandal, J.C., et al.. (2023). A simple HLLE-type scheme for all Mach number flows. European Journal of Mechanics - B/Fluids. 103. 145–162. 1 indexed citations
5.
Mandal, J.C., et al.. (2022). An improved HLLC-type solver for incompressible two-phase fluid flows. Computers & Fluids. 244. 105570–105570. 1 indexed citations
6.
Parameswaran, Siva & J.C. Mandal. (2022). A stable interface-preserving reinitialization equation for conservative level set method. European Journal of Mechanics - B/Fluids. 98. 40–63. 4 indexed citations
7.
Parameswaran, Siva & J.C. Mandal. (2019). A novel Roe solver for incompressible two-phase flow problems. Journal of Computational Physics. 390. 405–424. 7 indexed citations
8.
Mandal, J.C., et al.. (2018). Contact preserving Riemann solver for incompressible two-phase flows. Journal of Computational Physics. 379. 173–191. 3 indexed citations
9.
Sonawane, Chandrakant, et al.. (2017). High Resolution Incompressible Flow Computations over Unstructured Mesh using SDWLS Gradients. Journal of The Institution of Engineers (India) Series C. 100(1). 83–96. 17 indexed citations
10.
Mandal, J.C. & V. D. Sharma. (2015). A genuinely multidimensional convective pressure flux split Riemann solver for Euler equations. Journal of Computational Physics. 297. 669–688. 13 indexed citations
11.
Mandal, J.C. & Chandrakant Sonawane. (2013). Simulation of flow inside differentially heated rotating cavity. International Journal of Numerical Methods for Heat & Fluid Flow. 23(1). 23–54. 20 indexed citations
12.
Mandal, J.C. & Chandrakant Sonawane. (2013). Simulation of Moderator Flow and Temperature Inside Calandria of CANDU Reactor Using Artificial Compressibility Method. Heat Transfer Engineering. 35(14-15). 1254–1266. 19 indexed citations
13.
Mandal, J.C., et al.. (2011). An upwind method for incompressible flows with heat transfer. International Journal of Numerical Methods for Heat & Fluid Flow. 21(5). 518–534. 5 indexed citations
14.
Mandal, J.C., et al.. (2010). High resolution finite volume computations on unstructured grids using solution dependent weighted least squares gradients. Computers & Fluids. 44(1). 23–31. 23 indexed citations
15.
Mandal, J.C., et al.. (2010). Incompressible flow computations over moving boundary using a novel upwind method. Computers & Fluids. 46(1). 348–352. 21 indexed citations
16.
Jayakumar, J. S., Sanjay M. Mahajani, J.C. Mandal, Kannan N. Iyer, & P.K. Vijayan. (2009). CFD analysis of single-phase flows inside helically coiled tubes. Computers & Chemical Engineering. 34(4). 430–446. 206 indexed citations
18.
Mandal, J.C., et al.. (2007). High‐resolution finite volume computations using a novel weighted least‐squares formulation. International Journal for Numerical Methods in Fluids. 56(8). 1425–1431. 4 indexed citations
19.
Mandal, J.C., et al.. (2007). On the link between weighted least-squares and limiters used in higher-order reconstructions for finite volume computations of hyperbolic equations. Applied Numerical Mathematics. 58(5). 705–725. 17 indexed citations
20.
Mandal, J.C., et al.. (2001). Computations of laminar and turbulent mixed convection in a driven cavity using pseudo-compressibility approach. Computers & Fluids. 30(5). 607–620. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026