Krishna Garikipati

5.1k total citations · 1 hit paper
105 papers, 3.5k citations indexed

About

Krishna Garikipati is a scholar working on Mechanics of Materials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Krishna Garikipati has authored 105 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanics of Materials, 32 papers in Materials Chemistry and 26 papers in Biomedical Engineering. Recurrent topics in Krishna Garikipati's work include Numerical methods in engineering (22 papers), Elasticity and Material Modeling (20 papers) and Composite Material Mechanics (19 papers). Krishna Garikipati is often cited by papers focused on Numerical methods in engineering (22 papers), Elasticity and Material Modeling (20 papers) and Composite Material Mechanics (19 papers). Krishna Garikipati collaborates with scholars based in United States, Germany and Netherlands. Krishna Garikipati's co-authors include Thomas J.R. Hughes, F. Armero, Ellen Kuhl, Ellen M. Arruda, Karl Grosh, Garth N. Wells, Anton Van der Ven, Gregory H. Teichert, Shiva Rudraraju and Luca Mazzei and has published in prestigious journals such as Cell, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Krishna Garikipati

103 papers receiving 3.4k citations

Hit Papers

align trajectories

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.

Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

2019 405 citations Mark Alber, Adrián Buganza Tepole et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Krishna Garikipati United States	27	1.2k	792	784	670	609	105	3.5k
Tarek I. Zohdi United States	38	1.7k 1.4×	510 0.6×	681 0.9×	1.1k 1.7×	576 0.9×	233	4.7k
Kian Meng Lim Singapore	36	1.0k 0.8×	407 0.5×	1.7k 2.1×	698 1.0×	895 1.5×	204	4.4k
Christian J. Cyron Germany	30	821 0.7×	318 0.4×	1.0k 1.3×	624 0.9×	156 0.3×	89	2.9k
Anthony P. Roberts Australia	27	1.3k 1.0×	942 1.2×	592 0.8×	269 0.4×	325 0.5×	61	3.8k
Fred van Keulen Netherlands	36	2.1k 1.7×	801 1.0×	907 1.2×	588 0.9×	772 1.3×	262	5.9k
Eliot Fried United States	33	1.3k 1.0×	1.5k 1.8×	1.3k 1.7×	1.0k 1.5×	155 0.3×	163	4.6k
Rohan Abeyaratne United States	33	2.2k 1.8×	1.6k 2.0×	1.3k 1.7×	372 0.6×	252 0.4×	86	4.0k
A. J. M. Spencer United Kingdom	34	2.5k 2.1×	723 0.9×	1.5k 1.9×	858 1.3×	220 0.4×	177	4.6k
Jörg Schröder Germany	33	2.4k 2.0×	840 1.1×	1.7k 2.1×	663 1.0×	124 0.2×	238	4.5k
Marino Arroyo Spain	42	1.5k 1.2×	2.0k 2.6×	1.1k 1.5×	777 1.2×	216 0.4×	101	5.3k

Countries citing papers authored by Krishna Garikipati

Since Specialization

Citations

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

Fields of papers citing papers by Krishna Garikipati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Garikipati

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tran, Quang‐Hieu, et al.. (2025). A phase-field fracture formulation for generalized standard materials: The interplay between thermomechanics and damage. Journal of the Mechanics and Physics of Solids. 201. 106154–106154. 1 indexed citations

Nallamothu, Brahmajee K., et al.. (2024). Attention-based multi-fidelity machine learning model for fractional flow reserve assessment. Computer Methods in Applied Mechanics and Engineering. 432. 117338–117338. 5 indexed citations

Teichert, Gregory H., et al.. (2024). Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order–disorder transitions in Li x CoO 2 . Journal of the Mechanics and Physics of Solids. 190. 105726–105726. 3 indexed citations

Garikipati, Krishna. (2024). Data-driven Modelling and Scientific Machine Learning in Continuum Physics. 1 indexed citations

Zhang, Xiaoxuan, et al.. (2022). mechanoChemML: A software library for machine learning in computational materials physics. Computational Materials Science. 211. 111493–111493. 2 indexed citations

Kochunas, Brendan, et al.. (2022). Analytic Error Analysis of Cross Section Interpolation Methods in Nodal Diffusion Codes-I: Theory. 1256–1265. 1 indexed citations

Garikipati, Krishna, et al.. (2021). Methodology for Sensitivity Analysis of Homogenized Cross-Sections to Instantaneous and Historical Lattice Conditions with Application to AP1000® PWR Lattice. Energies. 14(12). 3378–3378. 1 indexed citations

Teichert, Gregory H., Mohammad Khalil, Coleman Alleman, Krishna Garikipati, & Reese E. Jones. (2021). Sensitivity of void mediated failure to geometric design features of porous metals. International Journal of Solids and Structures. 236-237. 111309–111309. 2 indexed citations

Alber, Mark, Adrián Buganza Tepole, William R. Cannon, et al.. (2019). Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digital Medicine. 2(1). 115–115. 405 indexed citations breakdown →

10.

Garikipati, Krishna, et al.. (2017). A computational study of growth-driven folding patterns on shells, with application to the developing brain. arXiv (Cornell University). 2 indexed citations

11.

Garikipati, Krishna, Alain Goriely, Ellen Kuhl, & Andreas Menzel. (2016). Mini-Workshop: Mathematics of Differential Growth, Morphogenesis, and Pattern Selection. Oberwolfach Reports. 12(4). 2895–2910.

12.

Mills, Kristen L., Ralf Kemkemer, Shiva Rudraraju, & Krishna Garikipati. (2014). Elastic Free Energy Drives the Shape of Prevascular Solid Tumors. PLoS ONE. 9(7). e103245–e103245. 24 indexed citations

13.

Rosenthal, Devin T., Silvia Escudero, Liwei Bao, et al.. (2011). p38γ Promotes Breast Cancer Cell Motility and Metastasis through Regulation of RhoC GTPase, Cytoskeletal Architecture, and a Novel Leading Edge Behavior. Cancer Research. 71(20). 6338–6349. 49 indexed citations

14.

Garikipati, Krishna. (2003). Couple stresses in crystalline solids: origins from plastic slip gradients, dislocation core distortions, and three-body interatomic potentials. Journal of the Mechanics and Physics of Solids. 51(7). 1189–1214. 15 indexed citations

15.

Garikipati, Krishna. (2002). A variational multiscale method to embed micromechanical surface laws in the macromechanical continuum formulation. Computer Modeling in Engineering & Sciences. 3(2). 175–184. 18 indexed citations

16.

Garikipati, Krishna, et al.. (2000). Modelling and Validation of Contribions to Stress in the Shallow Trench Isolation Process Sequence. Computer Modeling in Engineering & Sciences. 1(1). 65–84. 1 indexed citations

17.

Hughes, Thomas J.R., et al.. (2000). On modelling thermal oxidation of Silicon II: numerical aspects. International Journal for Numerical Methods in Engineering. 47(1-3). 359–377. 31 indexed citations

18.

Chan, Edward, R.W. Dutton, & Krishna Garikipati. (1999). Complete Characterization of Electrostatically-Actuated Beams Including Effects of Multiple Discontinuities and Buckling. TechConnect Briefs. 194–197. 4 indexed citations

19.

Chan, Edward, Krishna Garikipati, & R.W. Dutton. (1999). Comprehensive static characterization of vertical electrostatically actuated polysilicon beams. IEEE Design & Test of Computers. 16(4). 58–65. 14 indexed citations

20.

Armero, F. & Krishna Garikipati. (1996). An Analysis of Strong-Discontinuities in Inelastic Solids with Applications to the Finite Element Simulation of Strain Localization Problems. Engineering Mechanics. 136–139. 2 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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