Pranav Karve

470 total citations
35 papers, 322 citations indexed

About

Pranav Karve is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Pranav Karve has authored 35 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Civil and Structural Engineering. Recurrent topics in Pranav Karve's work include Non-Destructive Testing Techniques (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Power System Reliability and Maintenance (5 papers). Pranav Karve is often cited by papers focused on Non-Destructive Testing Techniques (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Power System Reliability and Maintenance (5 papers). Pranav Karve collaborates with scholars based in United States, India and South Korea. Pranav Karve's co-authors include Sankaran Mahadevan, Mulugeta Haile, Loukas F. Kallivokas, Sridhar Mahadevan, Douglas E. Adams, Chris Nash, Vivek Agarwal, Ravindra Duddu, Ryan S. Hsi and Lance Manuel and has published in prestigious journals such as PLoS ONE, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Pranav Karve

31 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranav Karve United States 11 91 79 76 70 51 35 322
Patrick E. Leser United States 11 171 1.9× 102 1.3× 172 2.3× 47 0.7× 54 1.1× 28 415
William P. Leser United States 12 165 1.8× 111 1.4× 186 2.4× 31 0.4× 72 1.4× 25 414
Jamie Blanche United Kingdom 10 59 0.6× 52 0.7× 95 1.3× 48 0.7× 41 0.8× 25 281
Pu Wang China 12 245 2.7× 144 1.8× 181 2.4× 44 0.6× 34 0.7× 44 450
Xinyu Fan China 9 46 0.5× 83 1.1× 34 0.4× 45 0.6× 14 0.3× 46 291
Jianbo Li China 14 177 1.9× 269 3.4× 166 2.2× 46 0.7× 22 0.4× 42 627
Gaetano Miraglia Italy 11 67 0.7× 202 2.6× 49 0.6× 56 0.8× 56 1.1× 37 331
Yang Tang China 14 135 1.5× 38 0.5× 65 0.9× 28 0.4× 16 0.3× 62 407
Zhi Zheng China 13 242 2.7× 45 0.6× 125 1.6× 56 0.8× 23 0.5× 36 487
B. Patzák Czechia 14 113 1.2× 283 3.6× 439 5.8× 37 0.5× 29 0.6× 52 764

Countries citing papers authored by Pranav Karve

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Karve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Karve

This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Karve. A scholar is included among the top collaborators of Pranav Karve 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 Pranav Karve. Pranav Karve 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.
Dong, Juan, Pranav Karve, Bryan A. Webler, et al.. (2025). Global sensitivity analysis for microstructural features to variability in elemental concentration of additively manufactured alloy 718. Materialia. 45. 102630–102630. 1 indexed citations
2.
Karve, Pranav, et al.. (2025). Probabilistic Digital Twin for Damage-Aware Rotorcraft Path-Tracking Optimization Under Uncertainty. AIAA Journal. 64(2). 1066–1078.
3.
Zhang, Yadong, Pranav Karve, & Sankaran Mahadevan. (2025). Operational risk quantification of power grids using graph neural network surrogates of the DC optimal power flow. Sustainable Energy Grids and Networks. 43. 101748–101748.
4.
Karve, Pranav, et al.. (2025). Probabilistic generator contingency assessment for power grids with high renewable penetration. Sustainable Energy Grids and Networks. 42. 101681–101681.
5.
Zhang, Yadong, Pranav Karve, & Sankaran Mahadevan. (2024). Graph neural networks for power grid operational risk assessment under evolving unit commitment. Applied Energy. 380. 124793–124793. 3 indexed citations
6.
Karve, Pranav, et al.. (2024). Probabilistic prediction of external corrosion fatigue life in buried steel pipes. International Journal of Pressure Vessels and Piping. 214. 105415–105415. 3 indexed citations
7.
Zhang, Yadong, Pranav Karve, & Sankaran Mahadevan. (2024). Power grid operational risk assessment using graph neural network surrogates. 1–5. 1 indexed citations
8.
Karve, Pranav, et al.. (2023). Global Sensitivity Analysis-Based Dimension Reduction for Stochastic Unit Commitment. IEEE Transactions on Power Systems. 39(2). 2775–2785. 2 indexed citations
9.
Karve, Pranav, et al.. (2023). Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis. Reliability Engineering & System Safety. 235. 109243–109243. 25 indexed citations
10.
Karve, Pranav, et al.. (2022). Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning. Structural Health Monitoring. 21(5). 1973–1991. 12 indexed citations
11.
Karve, Pranav, et al.. (2022). Digital twin for component health- and stress-aware rotorcraft flight control. Structural and Multidisciplinary Optimization. 65(11). 6 indexed citations
12.
Karve, Pranav, et al.. (2022). Digital Twin Approach for Component Health-Informed Rotorcraft Flight Parameter Optimization. AIAA Journal. 60(3). 1923–1936. 12 indexed citations
13.
Nash, Chris, Pranav Karve, Douglas E. Adams, & Sankaran Mahadevan. (2021). Flaw Detection and Localization in Curing Fiber-Reinforced Polymer Composites Using Infrared Thermography and Kalman Filtering: A Simulation Study. Journal of Nondestructive Evaluation. 40(3). 1 indexed citations
14.
Nash, Chris, et al.. (2020). Real-time cure monitoring of fiber-reinforced polymer composites using infrared thermography and recursive Bayesian filtering. Composites Part B Engineering. 198. 108241–108241. 13 indexed citations
15.
Karve, Pranav, et al.. (2019). Digital twin approach for damage-tolerant mission planning under uncertainty. Engineering Fracture Mechanics. 225. 106766–106766. 93 indexed citations
16.
Jones, Rebecca, et al.. (2018). In vitro feasibility of next generation non-linear beamforming ultrasound methods to characterize and size kidney stones. Urolithiasis. 47(2). 181–188. 13 indexed citations
17.
Hsi, Ryan S., et al.. (2018). Feasibility of non-linear beamforming ultrasound methods to characterize and size kidney stones. PLoS ONE. 13(8). e0203138–e0203138. 3 indexed citations
18.
George, Mark S., et al.. (2017). Non-linear beamforming approaches for sizing and detecting large calcifications. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 1 indexed citations
19.
Karve, Pranav & Loukas F. Kallivokas. (2015). Wave energy focusing to subsurface poroelastic formations to promote oil mobilization. Geophysical Journal International. 202(1). 119–141. 11 indexed citations
20.
Karve, Pranav, Loukas F. Kallivokas, & Lance Manuel. (2015). A framework for assessing the uncertainty in wave energy delivery to targeted subsurface formations. Journal of Applied Geophysics. 125. 26–36. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Patrick E. Leser Breakdown of academic impact, for papers by William P. Leser Breakdown of academic impact, for papers by Jamie Blanche Breakdown of academic impact, for papers by Pu Wang Breakdown of academic impact, for papers by Xinyu Fan Breakdown of academic impact, for papers by Jianbo Li Breakdown of academic impact, for papers by Gaetano Miraglia Breakdown of academic impact, for papers by Yang Tang Breakdown of academic impact, for papers by Zhi Zheng Breakdown of academic impact, for papers by B. Patzák
Rankless by CCL
2026