John O. Dabiri

9.2k total citations · 2 hit papers
147 papers, 6.9k citations indexed

About

John O. Dabiri is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, John O. Dabiri has authored 147 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Aerospace Engineering, 61 papers in Computational Mechanics and 28 papers in Environmental Engineering. Recurrent topics in John O. Dabiri's work include Wind Energy Research and Development (40 papers), Biomimetic flight and propulsion mechanisms (35 papers) and Fluid Dynamics and Vibration Analysis (34 papers). John O. Dabiri is often cited by papers focused on Wind Energy Research and Development (40 papers), Biomimetic flight and propulsion mechanisms (35 papers) and Fluid Dynamics and Vibration Analysis (34 papers). John O. Dabiri collaborates with scholars based in United States, Spain and Israel. John O. Dabiri's co-authors include Morteza Gharib, Sean P. Colin, John H. Costello, Michael F. Howland, Matthias Kinzel, Kakani Katija, Brad J. Gemmell, Daniel Araya, Sanjiva K. Lele and Jerrold E. Marsden and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John O. Dabiri

143 papers receiving 6.8k citations

Hit Papers

A tissue-engineered jelly... 2011 2026 2016 2021 2012 2011 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John O. Dabiri 3.6k 2.8k 1.2k 934 865 147 6.9k
Morteza Gharib 3.8k 1.1× 5.9k 2.1× 1.1k 1.0× 310 0.3× 1.9k 2.2× 309 12.1k
Michael S. Triantafyllou 7.1k 2.0× 5.9k 2.1× 1.6k 1.4× 1.4k 1.5× 1.1k 1.2× 256 12.0k
John W. M. Bush 620 0.2× 3.4k 1.2× 180 0.2× 1.4k 1.4× 1.4k 1.7× 180 8.8k
Kenneth Breuer 3.4k 0.9× 3.3k 1.2× 293 0.3× 1.2k 1.3× 2.4k 2.8× 255 8.7k
Kamran Mohseni 1.9k 0.5× 2.0k 0.7× 144 0.1× 243 0.3× 541 0.6× 258 3.9k
Eize J. Stamhuis 1.4k 0.4× 1.2k 0.4× 139 0.1× 317 0.3× 1.1k 1.3× 92 5.6k
D. Weihs 2.4k 0.7× 1.2k 0.4× 79 0.1× 736 0.8× 700 0.8× 149 5.7k
Hiroshi Kawamura 915 0.3× 2.9k 1.0× 856 0.7× 169 0.2× 724 0.8× 598 11.8k
George S. Triantafyllou 3.1k 0.8× 2.3k 0.8× 598 0.5× 613 0.7× 384 0.4× 50 4.3k
Rajat Mittal 6.6k 1.8× 11.1k 4.0× 1.2k 1.0× 570 0.6× 1.3k 1.5× 342 15.9k

Countries citing papers authored by John O. Dabiri

Since Specialization
Citations

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

Fields of papers citing papers by John O. Dabiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John O. Dabiri. 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 John O. Dabiri. The network helps show where John O. Dabiri may publish in the future.

Co-authorship network of co-authors of John O. Dabiri

This figure shows the co-authorship network connecting the top 25 collaborators of John O. Dabiri. A scholar is included among the top collaborators of John O. Dabiri 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 John O. Dabiri. John O. Dabiri 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.
Dabiri, John O., et al.. (2025). Surfing vortex rings for energy-efficient propulsion. PNAS Nexus. 4(2). pgaf031–pgaf031. 2 indexed citations
2.
Dabiri, John O. & Anthony Leonard. (2024). Linear instability of viscous parallel shear flows: revisiting the perturbation no-slip condition. Journal of Fluid Mechanics. 996.
3.
Costello, John H., Sean P. Colin, Brad J. Gemmell, John O. Dabiri, & Eva Kanso. (2024). Turning kinematics of the scyphomedusa Aurelia aurita. Bioinspiration & Biomimetics. 19(2). 26005–26005. 1 indexed citations
4.
Costello, John H., Sean P. Colin, Brad J. Gemmell, John O. Dabiri, & Eva Kanso. (2023). A fundamental propulsive mechanism employed by swimmers and flyers throughout the animal kingdom. Journal of Experimental Biology. 226(11). 2 indexed citations
5.
Yang, Jin, Alexander K. Landauer, Jing Zhang, et al.. (2022). SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking. SoftwareX. 19. 101204–101204. 5 indexed citations
6.
Dabiri, John O., Sean P. Colin, Brad J. Gemmell, et al.. (2020). Jellyfish and Fish Solve the Challenges of Turning Dynamics Similarly to Achieve High Maneuverability. Fluids. 5(3). 106–106. 15 indexed citations
7.
Howland, Michael F. & John O. Dabiri. (2020). Influence of atmospheric boundary layer wind speed and direction shear on utility-scale yaw misaligned turbines. Bulletin of the American Physical Society.
8.
Lucas, Kelsey, John O. Dabiri, & George Lauder. (2017). A pressure-based force and torque prediction technique for the study of fish-like swimming. PLoS ONE. 12(12). e0189225–e0189225. 34 indexed citations
9.
Nawroth, Janna, Hanliang Guo, Eric J. Koch, et al.. (2017). Motile cilia create fluid-mechanical microhabitats for the active recruitment of the host microbiome. Proceedings of the National Academy of Sciences. 114(36). 9510–9516. 89 indexed citations
10.
Duvvuri, Subrahmanyam, et al.. (2017). Vertical-axis wind turbine experiments at full dynamic similarity. Bulletin of the American Physical Society. 1 indexed citations
11.
Lucas, Kelsey, John O. Dabiri, & George Lauder. (2015). Application of PIV-based pressure measurements to the study of aquatic propulsion. Bulletin of the American Physical Society. 1 indexed citations
12.
Dabiri, John O., et al.. (2015). Optimization of wind farm performance using low-order models. Bulletin of the American Physical Society. 1 indexed citations
13.
Araya, Daniel & John O. Dabiri. (2015). Transition to bluff body dynamics in the wake of vertical axis turbines. Bulletin of the American Physical Society. 1 indexed citations
14.
Moin, Parviz, et al.. (2013). Evaluation of drag forcing models for vertical axis wind turbine farms. Bulletin of the American Physical Society. 1 indexed citations
15.
Kinzel, Matthias, et al.. (2011). Quantitative Full-Scale Wind Turbine Flow Measurements. Bulletin of the American Physical Society. 64. 1 indexed citations
16.
Nawroth, Janna & John O. Dabiri. (2010). Learning from jellyfish: Fluid transport in muscular pumps at intermediate Reynolds numbers. Bulletin of the American Physical Society. 63.
17.
Dabiri, John O., Sean P. Colin, Kakani Katija, & John H. Costello. (2009). A wake-based correlate of swimming performance in seven jellyfish species. Bulletin of the American Physical Society. 62. 1 indexed citations
18.
Peng, Jifeng & John O. Dabiri. (2007). Optimal stroke patterns for a model jellyfish swimmer with thin, flexible body. Bulletin of the American Physical Society. 60. 1 indexed citations
19.
Krueger, Paul S., John O. Dabiri, & Morteza Gharib. (2004). The Formation Number of Vortex Rings Formed in the Presence of Uniform Background Co-Flow. APS Division of Fluid Dynamics Meeting Abstracts. 57. 1 indexed citations
20.
Krueger, Paul S., John O. Dabiri, & Morteza Gharib. (2002). The Effect of Uniform Background Flow on Vortex Ring Formation and Pinch-off. APS Division of Fluid Dynamics Meeting Abstracts. 55. 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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