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Harshad M. Paranjape

Materials Science · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2009
Shape Memory Alloy TransformationsTitanium Alloys Microstructure and PropertiesMetal and Thin Film MechanicsMetallurgy and Material FormingFerroelectric and Piezoelectric Materials

Publications

44

Citations

667

Est. group size

—

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Harshad M. Paranjape studies shape-memory alloys, particularly Nickel-Titanium (Nitinol), a metal that can change shape and return to its original form when heated or stressed. His work focuses on understanding how these materials deform at the microscopic level, how they fail over repeated use (fatigue), and how this knowledge can improve the design and reliability of medical devices such as cardiovascular implants.

Shape-memory alloys (Nitinol)Microstructure and deformation mechanicsFatigue and durability of materialsMedical device design and simulationUncertainty quantification and data-driven modeling

Publication output was higher earlier in the decade (notably 2017 and 2019) and has since slowed to about 1-2 papers per year in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 9 publications9172018: 2 publications182019: 6 publications192020: 5 publications202021: 2 publications212022: 3 publications222023: 1 publication232024: 1 publication242025: 2 publications252026: 2 publications26
Recent publications
Publishes in
  • Shape Memory and Superelasticity×5
  • Acta Materialia×3
  • The International Conference on Shape Memory and Superelastic Technologies (SMST), May 15 - 19, 2017×3
  • International Journal of Mechanical Sciences×2
  • Journal of the Mechanics and Physics of Solids×2
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By research-topic overlap
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  • Boyd Panton

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  • Xiaorong Cai

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  • Ryan Hahnlen

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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