Adarsh Krishnamurthy

2.3k total citations
96 papers, 1.5k citations indexed

About

Adarsh Krishnamurthy is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Mechanical Engineering. According to data from OpenAlex, Adarsh Krishnamurthy has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 25 papers in Computer Graphics and Computer-Aided Design and 16 papers in Mechanical Engineering. Recurrent topics in Adarsh Krishnamurthy's work include Advanced Numerical Analysis Techniques (26 papers), 3D Shape Modeling and Analysis (23 papers) and Computer Graphics and Visualization Techniques (16 papers). Adarsh Krishnamurthy is often cited by papers focused on Advanced Numerical Analysis Techniques (26 papers), 3D Shape Modeling and Analysis (23 papers) and Computer Graphics and Visualization Techniques (16 papers). Adarsh Krishnamurthy collaborates with scholars based in United States, Israel and India. Adarsh Krishnamurthy's co-authors include Sara McMains, Ming‐Chen Hsu, Aditya Balu, Soumik Sarkar, Andrew D. McCulloch, Fei Xu, Baskar Ganapathysubramanian, Sanjiv M. Narayan, Christopher Villongco and Joyce Chuang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Adarsh Krishnamurthy

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adarsh Krishnamurthy United States 21 473 355 246 240 160 96 1.5k
YingLiang Ma United Kingdom 17 110 0.2× 316 0.9× 253 1.0× 52 0.2× 57 0.4× 79 1.1k
Andrea Giachetti Italy 24 214 0.5× 38 0.1× 197 0.8× 136 0.6× 169 1.1× 132 2.1k
Anders Bjorholm Dahl Denmark 23 240 0.5× 14 0.0× 230 0.9× 276 1.1× 193 1.2× 114 2.3k
C. Monserrat Spain 21 155 0.3× 26 0.1× 433 1.8× 60 0.3× 63 0.4× 71 1.3k
Christian Rupprecht Germany 22 272 0.6× 13 0.0× 144 0.6× 201 0.8× 172 1.1× 77 1.7k
Neal Wadhwa United States 14 62 0.1× 52 0.1× 319 1.3× 45 0.2× 60 0.4× 18 1.9k
David Owen United Kingdom 18 225 0.5× 51 0.1× 38 0.2× 35 0.1× 72 0.5× 42 913
Ben Trumbore United States 5 261 0.6× 13 0.0× 136 0.6× 282 1.2× 99 0.6× 5 1.0k
Chang Ha Lee South Korea 13 319 0.7× 20 0.1× 138 0.6× 268 1.1× 145 0.9× 36 1.1k
Chang D. Yoo South Korea 30 275 0.6× 40 0.1× 838 3.4× 47 0.2× 422 2.6× 181 4.0k

Countries citing papers authored by Adarsh Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Adarsh Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adarsh Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of Adarsh Krishnamurthy. A scholar is included among the top collaborators of Adarsh Krishnamurthy 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 Adarsh Krishnamurthy. Adarsh Krishnamurthy 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.
Balu, Aditya, Talukder Z. Jubery, Yawei Li, et al.. (2025). MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel. Plant Phenomics. 8(1). 100108–100108.
2.
Ganapathysubramanian, Baskar, et al.. (2025). Real time 3D reconstruction for enhanced cybersecurity of additive manufacturing processes. Journal of Manufacturing Processes. 145. 274–285. 1 indexed citations
3.
Yang, Cheng-Hau, et al.. (2025). Direct flow simulations with implicit neural representation of complex geometry. Computer Methods in Applied Mechanics and Engineering. 446. 118248–118248.
4.
Yang, Cheng-Hau, Guglielmo Scovazzi, Adarsh Krishnamurthy, & Baskar Ganapathysubramanian. (2025). A shifted boundary method for thermal flows. Journal of Computational Physics. 547. 114333–114333.
5.
Jubery, Talukder Z., Yawei Li, Lakshmi Attigala, et al.. (2025). Procedural generation of 3D maize plant architecture from LiDAR data. Computers and Electronics in Agriculture. 236. 110382–110382. 1 indexed citations
6.
Balu, Aditya, et al.. (2025). Benchmarking scientific machine-learning approaches for flow prediction around complex geometries. Communications Engineering. 4(1). 182–182.
7.
Khara, Biswajit, Aditya Balu, Zhanhong Jiang, et al.. (2024). Neural PDE Solvers for Irregular Domains. Computer-Aided Design. 172. 103709–103709. 3 indexed citations
8.
Secor, Ethan B., et al.. (2024). NURBS-based path planning for aerosol jet printing of conformal electronics. Journal of Manufacturing Processes. 118. 187–194. 4 indexed citations
9.
Jubery, Talukder Z., Aditya Balu, Lakshmi Attigala, et al.. (2023). 3D reconstruction of plants using probabilistic voxel carving. Computers and Electronics in Agriculture. 213. 108248–108248. 12 indexed citations
10.
Balu, Aditya, et al.. (2023). THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines. Engineering With Computers. 40(6). 3477–3493. 2 indexed citations
11.
Gann, Eliot, Veronica G. Reynolds, S. Mukherjee, et al.. (2023). CyRSoXS: a GPU-accelerated virtual instrument for polarized resonant soft X-ray scattering. Journal of Applied Crystallography. 56(3). 868–883. 7 indexed citations
12.
Yang, Cheng-Hau, et al.. (2023). Optimal surrogate boundary selection and scalability studies for the shifted boundary method on octree meshes. Computer Methods in Applied Mechanics and Engineering. 419. 116686–116686. 11 indexed citations
13.
Yang, Cheng-Hau, Emily L. Johnson, Ming‐Chen Hsu, et al.. (2023). A computational framework for transmission risk assessment of aerosolized particles in classrooms. Engineering With Computers. 40(1). 235–256. 7 indexed citations
14.
Mukherjee, S., Jason K. Streit, Eliot Gann, et al.. (2021). Polarized X-ray scattering measures molecular orientation in polymer-grafted nanoparticles. Nature Communications. 12(1). 4896–4896. 22 indexed citations
15.
Xu, Songzhe, Biswajit Khara, Ming‐Chen Hsu, et al.. (2021). Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis. Computers & Mathematics with Applications. 97. 28–44. 20 indexed citations
16.
Holland, Stephen D., et al.. (2021). Fiber Layup Generation on Curved Composite Structures. Computer-Aided Design. 136. 103031–103031. 6 indexed citations
17.
Balu, Aditya, et al.. (2019). A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves. Scientific Reports. 9(1). 18560–18560. 40 indexed citations
18.
Balu, Aditya, et al.. (2016). A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. arXiv (Cornell University). 9 indexed citations
19.
Gonzales, Matthew J., Gregory M. Sturgeon, Adarsh Krishnamurthy, et al.. (2013). A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices. Medical Image Analysis. 17(5). 525–537. 40 indexed citations
20.
Arbelaez, D., et al.. (2008). Cleanability of Mechanical Components. eScholarship (California Digital Library). 7 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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