Ramana M. Pidaparti

3.0k total citations
183 papers, 2.3k citations indexed

About

Ramana M. Pidaparti is a scholar working on Biomedical Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Ramana M. Pidaparti has authored 183 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Biomedical Engineering, 54 papers in Mechanics of Materials and 46 papers in Mechanical Engineering. Recurrent topics in Ramana M. Pidaparti's work include Fatigue and fracture mechanics (29 papers), Elasticity and Material Modeling (23 papers) and Non-Destructive Testing Techniques (18 papers). Ramana M. Pidaparti is often cited by papers focused on Fatigue and fracture mechanics (29 papers), Elasticity and Material Modeling (23 papers) and Non-Destructive Testing Techniques (18 papers). Ramana M. Pidaparti collaborates with scholars based in United States, China and Japan. Ramana M. Pidaparti's co-authors include Mathew Palakal, Parya Aghasafari, Uduak Z. George, Charles H. Turner, Qingyuan Wang, Henry T. Y. Yang, M.R. Sriraman, David B. Burr, Long Fang and Yuichi Takano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Biophysical Journal.

In The Last Decade

Ramana M. Pidaparti

168 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramana M. Pidaparti United States 24 675 608 523 415 391 183 2.3k
Christian J. Cyron Germany 30 821 1.2× 495 0.8× 1.0k 2.0× 318 0.8× 311 0.8× 89 2.9k
Samer Adeeb Canada 24 457 0.7× 537 0.9× 369 0.7× 167 0.4× 359 0.9× 196 2.1k
Michel Coret France 20 489 0.7× 671 1.1× 460 0.9× 346 0.8× 188 0.5× 74 1.4k
Carmine Pappalettere Italy 26 463 0.7× 758 1.2× 517 1.0× 129 0.3× 453 1.2× 142 2.4k
J.A.W. van Dommelen Netherlands 31 790 1.2× 868 1.4× 1.1k 2.2× 638 1.5× 143 0.4× 118 3.5k
Diab Abueidda United States 27 688 1.0× 1.6k 2.7× 777 1.5× 381 0.9× 730 1.9× 60 3.2k
R.L. Reuben United Kingdom 34 1.3k 2.0× 1.7k 2.9× 1.8k 3.5× 1.2k 2.9× 370 0.9× 178 4.0k
Rami Haj‐Ali Israel 34 1.6k 2.3× 680 1.1× 493 0.9× 343 0.8× 720 1.8× 122 3.3k
Jan Zuidema Netherlands 8 994 1.5× 623 1.0× 110 0.2× 414 1.0× 331 0.8× 14 1.9k
Jie Tong United Kingdom 36 1.6k 2.3× 1.6k 2.6× 414 0.8× 898 2.2× 303 0.8× 113 3.3k

Countries citing papers authored by Ramana M. Pidaparti

Since Specialization
Citations

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

Fields of papers citing papers by Ramana M. Pidaparti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramana M. Pidaparti. 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 Ramana M. Pidaparti. The network helps show where Ramana M. Pidaparti may publish in the future.

Co-authorship network of co-authors of Ramana M. Pidaparti

This figure shows the co-authorship network connecting the top 25 collaborators of Ramana M. Pidaparti. A scholar is included among the top collaborators of Ramana M. Pidaparti 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 Ramana M. Pidaparti. Ramana M. Pidaparti 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.
Zhao, Lin, Taotao Wu, Ramana M. Pidaparti, et al.. (2025). Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives. Acta Biomaterialia. 203. 181–213.
2.
Jayasuriya, Suren, et al.. (2024). ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23101–23109. 1 indexed citations
3.
Jayasuriya, Suren, et al.. (2024). The Impact of Teachable Machine on Middle School Teachers’ Perceptions of Science Lessons after Professional Development. Education Sciences. 14(4). 417–417. 2 indexed citations
4.
Pidaparti, Ramana M.. (2023). Design Engineering Journey.
5.
Coffield, Julie A., Jasmine Choi, Ikseon Choi, et al.. (2021). Graduate Scholars Leadership, Engagement, And Development: Initial Design, Implementation, and Lessons Learned. Journal of higher education outreach & engagement. 25(1). 3 indexed citations
6.
Nagel, Jacquelyn, et al.. (2020). Board 113: Evidence-based Resources that Scaffold Students in Performing Bio-inspired Design. Papers on Engineering Education Repository (American Society for Engineering Education). 2 indexed citations
7.
Nagel, Jacquelyn, et al.. (2020). Preliminary Findings From a Comparative Study of Two Bio-inspired Design Methods in a Second-year Engineering Curriculum. Papers on Engineering Education Repository (American Society for Engineering Education). 5 indexed citations
8.
Pidaparti, Ramana M., et al.. (2018). Evaluation of Ventilation-Induced Lung Inflammation Through Multi-Scale Simulations. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–7. 2 indexed citations
9.
Fonna, Syarizal, et al.. (2018). Pitting corrosion as a mixed system: coupled deterministic-probabilistic simulation of pit growth. IOP Conference Series Materials Science and Engineering. 352. 12018–12018. 2 indexed citations
10.
Nagel, Jacquelyn, et al.. (2016). Enhancing the Pedagogy of Bio-inspired Design in an Engineering Curriculum. 10 indexed citations
11.
Pidaparti, Ramana M. & A. C. Johnson. (2013). Evaluation of Stress Environment around Pits in Nickel Aluminum Bronze Metal under Corrosion and Cyclic Stresses. 9(1). 87–98. 1 indexed citations
12.
Pidaparti, Ramana M. & Vamsi K. Yadavalli. (2009). Nanocomposites based on Self-assembly of Collagen with DNA. TechConnect Briefs. 2(2009). 266–269. 1 indexed citations
13.
Pidaparti, Ramana M., et al.. (2007). Neural Network Mapping of Corrosion Induced Chemical Elements Degradation in Aircraft Aluminum. Cmc-computers Materials & Continua. 5(1). 1–10. 2 indexed citations
14.
Wang, Ju, et al.. (2007). Supporting Data-Intensive Wireless Sensor Applications using Smart Data Fragmentation and Buffer Management. VCU Scholars Compass (Virginia Commonwealth University). 367–371. 1 indexed citations
15.
Pidaparti, Ramana M.. (2006). Aircraft Structural Integrity Assessment through Computational Intelligence Techniques. 2(3). 131–148. 4 indexed citations
16.
Pidaparti, Ramana M., P. Worth Longest, Andrew Hsu, & H.U. Akay. (2005). Nanoscale computational analysis for an idealized bio-molecular motor. Bulletin of the Polish Academy of Sciences Technical Sciences. 53. 405–412. 2 indexed citations
17.
Pidaparti, Ramana M., et al.. (2005). Two-dimensional Corrosion Pit Initiation and Growth Simulation Model. Cmc-computers Materials & Continua. 2(1). 65–76. 3 indexed citations
18.
Wang, Qingyuan, et al.. (2003). Evaluation of the probability distribution of pitting corrosion fatigue life in aircraft materials. Acta Mechanica Sinica. 19(3). 247–252. 16 indexed citations
19.
Pidaparti, Ramana M., et al.. (2001). Micromechanical analysis of fatigue cracks in cord–rubber composites. Composite Structures. 54(4). 459–465. 14 indexed citations
20.
Bailey, R.A., Ramana M. Pidaparti, & Mathew Palakal. (2000). Corrosion Prediction In Aging AircraftMaterials. WIT transactions on engineering sciences. 26. 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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