H. S. Udaykumar

7.4k total citations · 1 hit paper
191 papers, 5.9k citations indexed

About

H. S. Udaykumar is a scholar working on Computational Mechanics, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, H. S. Udaykumar has authored 191 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computational Mechanics, 64 papers in Materials Chemistry and 61 papers in Mechanics of Materials. Recurrent topics in H. S. Udaykumar's work include Energetic Materials and Combustion (52 papers), High-Velocity Impact and Material Behavior (41 papers) and Lattice Boltzmann Simulation Studies (30 papers). H. S. Udaykumar is often cited by papers focused on Energetic Materials and Combustion (52 papers), High-Velocity Impact and Material Behavior (41 papers) and Lattice Boltzmann Simulation Studies (30 papers). H. S. Udaykumar collaborates with scholars based in United States, Italy and South Korea. H. S. Udaykumar's co-authors include Rajat Mittal, Wei Shyy, Shiv Kumar Sambasivan, Anil Kapahi, Saikrishna Marella, A. Khanna, Sreedevi Krishnan, Oishik Sen, J.W. Garvin and Nirmal Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

In The Last Decade

H. S. Udaykumar

188 papers receiving 5.7k citations

Hit Papers

An Accurate Cartesian Grid Method for Viscous Incompressi... 1999 2026 2008 2017 1999 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An Accurate Cartesian Grid Method for Viscous Incompressible Flows with Complex Immersed Boundaries
    1999 616 citations Rajat Mittal, H. S. Udaykumar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. S. Udaykumar United States 43 3.4k 1.5k 1.4k 1.4k 573 191 5.9k
G. Ben‐Dor Israel 38 3.1k 0.9× 1.8k 1.2× 1.4k 1.0× 1.1k 0.8× 329 0.6× 293 5.5k
Victor M. Calo Saudi Arabia 33 6.0k 1.8× 326 0.2× 612 0.4× 2.1k 1.5× 1.0k 1.8× 207 7.7k
James D. Walker United States 32 2.4k 0.7× 1.1k 0.8× 1.1k 0.8× 638 0.5× 530 0.9× 192 3.9k
Sunao Hasegawa Japan 40 2.1k 0.6× 1.1k 0.7× 1.2k 0.8× 316 0.2× 330 0.6× 341 6.4k
Nikolaus A. Adams Germany 59 11.3k 3.4× 3.0k 2.0× 954 0.7× 1.2k 0.9× 701 1.2× 378 13.1k
Steven L. Ceccio United States 42 3.5k 1.0× 1.1k 0.8× 512 0.4× 2.2k 1.6× 1.3k 2.3× 144 5.6k
Hrvoje Jasak Croatia 31 5.5k 1.6× 1.8k 1.2× 537 0.4× 721 0.5× 1.2k 2.1× 142 8.7k
T. Elperin Israel 33 2.0k 0.6× 644 0.4× 1.2k 0.8× 849 0.6× 506 0.9× 290 4.7k
Xiangyu Hu Germany 44 6.5k 2.0× 1.0k 0.7× 585 0.4× 923 0.7× 262 0.5× 220 7.9k
Dimitris Drikakis United Kingdom 51 5.4k 1.6× 2.2k 1.5× 447 0.3× 269 0.2× 523 0.9× 306 8.1k

Countries citing papers authored by H. S. Udaykumar

Since Specialization
Citations

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

Fields of papers citing papers by H. S. Udaykumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. S. Udaykumar. 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 H. S. Udaykumar. The network helps show where H. S. Udaykumar may publish in the future.

Co-authorship network of co-authors of H. S. Udaykumar

This figure shows the co-authorship network connecting the top 25 collaborators of H. S. Udaykumar. A scholar is included among the top collaborators of H. S. Udaykumar 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 H. S. Udaykumar. H. S. Udaykumar 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
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Larentzos, James P., et al.. (2025). Quantitative analysis of shear band formation around collapsing pores in shocked energetic organic crystals. Journal of Applied Physics. 137(8). 3 indexed citations
3.
Sewell, Thomas D., et al.. (2025). Shock-induced collapse of elongated pores: Comparison of all-atom molecular dynamics and atomistics-consistent continuum simulations. Journal of Applied Physics. 137(14). 2 indexed citations
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Sen, Oishik, Nirmal Kumar, James P. Larentzos, et al.. (2024). Johnson–Cook yield functions for cyclotetramethylene-tetranitramine (HMX) and cyclotrimethylene-trinitramine (RDX) derived from single crystal plasticity models. Journal of Applied Physics. 135(14). 8 indexed citations
8.
Nguyen, Phong, et al.. (2024). Physics-aware recurrent convolutional neural networks for modeling multiphase compressible flows. International Journal of Multiphase Flow. 177. 104877–104877. 3 indexed citations
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Udaykumar, H. S., et al.. (2023). Pressure-assisted binder jet additive manufacturing of solid propellants. Additive manufacturing. 77. 103808–103808. 7 indexed citations
10.
Udaykumar, H. S., et al.. (2023). Physically evocative meso-informed sub-grid source term for energy localization in shocked heterogeneous energetic materials. Journal of Applied Physics. 134(16). 2 indexed citations
11.
Nguyen, Phong, et al.. (2023). PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials. Science Advances. 9(17). eadd6868–eadd6868. 16 indexed citations
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Udaykumar, H. S., et al.. (2022). Physically Evocative Meso-Informed Burn Model: Topology of Evolving Hotspot Fields. Journal of Propulsion and Power. 38(6). 920–934. 2 indexed citations
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Sen, Oishik, et al.. (2022). Multi-scale modeling of shock initiation of a pressed energetic material I: The effect of void shapes on energy localization. Journal of Applied Physics. 131(5). 16 indexed citations
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Sen, Oishik, et al.. (2022). Meso-scale simulation of energetic materials. II. Establishing structure–property linkages using synthetic microstructures. Journal of Applied Physics. 131(5). 8 indexed citations
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Udaykumar, H. S., et al.. (2019). Direct comparison of computations and experiments on void collapse in PMMA over a range of loading conditions.. Bulletin of the American Physical Society. 1 indexed citations
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Sen, Oishik, H. S. Udaykumar, & Gustaaf B. Jacobs. (2016). Effect of Microstructural Geometry for Computing Closure Models in Multiscale Modeling of Shocked Particle Laden Flow. Bulletin of the American Physical Society. 2016. 3 indexed citations
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Mittal, Rajat, C.F. Bonilla, & H. S. Udaykumar. (2003). Cartesian Grid Methods For Simulating Flows With Moving Boundaries. WIT transactions on modelling and simulation. 33. 11 indexed citations
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Mittal, Rajat, et al.. (2001). Interaction of a Synthetic Jet with a Flat Plate Boundary Layer. University of Florida Digital Collections (University of Florida). 53. 49 indexed citations
20.
Udaykumar, H. S. & Wei Shyy. (1993). Modeling Solidification Processes at Morphological Scales. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 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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