John Jasa

831 total citations
30 papers, 584 citations indexed

About

John Jasa is a scholar working on Aerospace Engineering, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, John Jasa has authored 30 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 13 papers in Global and Planetary Change and 11 papers in Computational Mechanics. Recurrent topics in John Jasa's work include Advanced Aircraft Design and Technologies (13 papers), Wind Energy Research and Development (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). John Jasa is often cited by papers focused on Advanced Aircraft Design and Technologies (13 papers), Wind Energy Research and Development (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). John Jasa collaborates with scholars based in United States, United Kingdom and France. John Jasa's co-authors include Joaquim R. R. A. Martins, John T. Hwang, Gaetan K. Kenway, Charles A. Mader, Justin S. Gray, Daniel Zalkind, Ney Rafael Sêcco, Lili Zhang, Mehrdad Negahban and George A. Gazonas and has published in prestigious journals such as Scientific Reports, Applied Energy and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

John Jasa

29 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
John Jasa	303	247	174	118	103	30	584
Daniel P. Raymer	649 2.1×	541 2.2×	188 1.1×	78 0.7×	66 0.6×	37	925
Hyoung-Jin Kim	312 1.0×	126 0.5×	410 2.4×	67 0.6×	112 1.1×	69	653
Zhanxue Wang	363 1.2×	112 0.5×	381 2.2×	24 0.2×	46 0.4×	71	625
Markus P. Rumpfkeil	346 1.1×	60 0.2×	283 1.6×	335 2.8×	290 2.8×	74	817
José Camberos	409 1.3×	119 0.5×	388 2.2×	148 1.3×	32 0.3×	101	909
Zhoujie Lyu	564 1.9×	392 1.6×	642 3.7×	187 1.6×	188 1.8×	16	1.0k
Andrew Hahn	308 1.0×	204 0.8×	136 0.8×	66 0.6×	32 0.3×	19	454
Paul Gelhausen	494 1.6×	112 0.5×	205 1.2×	25 0.2×	29 0.3×	41	641
Melike Nikbay	275 0.9×	49 0.2×	330 1.9×	183 1.6×	93 0.9×	53	585
Deutsche Forschungsanstalt für Luft und Raumfahrt	580 1.9×	56 0.2×	390 2.2×	43 0.4×	25 0.2×	7	835

Countries citing papers authored by John Jasa

Since Specialization

Citations

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

Fields of papers citing papers by John Jasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jasa

This figure shows the co-authorship network connecting the top 25 collaborators of John Jasa. A scholar is included among the top collaborators of John Jasa 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 Jasa. John Jasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Adler, Eytan J., et al.. (2025). Accelerating coupled derivative computations with nested-hierarchical linear solver strategies. Optimization and Engineering. 26(3). 2081–2119.

Jasa, John, et al.. (2024). Aviary: An Open-Source Multidisciplinary Design, Analysis, and Optimization Tool for Modeling Aircraft With Analytic Gradients. 4 indexed citations

Jasa, John, et al.. (2024). Multidisciplinary Optimization of a Transonic Truss-Braced Wing Aircraft using the Aviary Framework. 1 indexed citations

Thomas, Jared, Erik Quaeghebeur, John Jasa, et al.. (2023). A comparison of eight optimization methods applied to a wind farm layout optimization problem. Wind energy science. 8(5). 865–891. 20 indexed citations

Abbas, Nikhar, John Jasa, Daniel Zalkind, Alan Wright, & Lucy Y. Pao. (2023). Control co-design of a floating offshore wind turbine. Applied Energy. 353. 122036–122036. 26 indexed citations

Jonkman, Jason, Emmanuel Branlard, & John Jasa. (2022). Influence of wind turbine design parameters on linearized physics-based models in OpenFAST. Wind energy science. 7(2). 559–571. 12 indexed citations

Jasa, John, Pietro Bortolotti, Daniel Zalkind, & Garrett Barter. (2022). Effectively using multifidelity optimization for wind turbine design. Wind energy science. 7(3). 991–1006. 13 indexed citations

Shaler, Kelsey, John Jasa, & Garrett Barter. (2022). Efficient Loads Surrogates for Waked Turbines in an Array. Journal of Physics Conference Series. 2265(3). 32095–32095. 6 indexed citations

Jasa, John, Pietro Bortolotti, Daniel Zalkind, & Garrett Barter. (2021). Effectively using multifidelity optimization for wind turbine design. 4 indexed citations

10.

Jonkman, Jason, Emmanuel Branlard, & John Jasa. (2021). Influence of Wind Turbine Design Parameters on Linearized Physics-Based Models in OpenFAST. 1 indexed citations

11.

Jasa, John. (2020). Multidisciplinary Design Optimization of an Aircraft Considering Path-Dependent Performance. Deep Blue (University of Michigan). 3 indexed citations

12.

Kenway, Gaetan K., et al.. (2020). pyOptSparse: A Python framework for large-scaleconstrained nonlinear optimization of sparse systems. The Journal of Open Source Software. 5(54). 2564–2564. 108 indexed citations

13.

Jasa, John, Benjamin J. Brelje, Justin S. Gray, Charles A. Mader, & Joaquim R. R. A. Martins. (2020). Large-Scale Path-Dependent Optimization of Supersonic Aircraft. Aerospace. 7(10). 152–152. 10 indexed citations

14.

Hwang, John T., John Jasa, & Joaquim R. R. A. Martins. (2019). High-Fidelity Design-Allocation Optimization of a Commercial Aircraft Maximizing Airline Profit. Journal of Aircraft. 56(3). 1164–1178. 43 indexed citations

15.

Jasa, John, John T. Hwang, & Joaquim R. R. A. Martins. (2018). Open-source coupled aerostructural optimization using Python. Structural and Multidisciplinary Optimization. 57(4). 1815–1827. 89 indexed citations

16.

Jasa, John, John T. Hwang, & Joaquim R. R. A. Martins. (2018). Design and Trajectory Optimization of a Morphing Wing Aircraft. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 23 indexed citations

17.

Jasa, John, Charles A. Mader, & Joaquim R. R. A. Martins. (2018). Trajectory Optimization of a Supersonic Aircraft with a Thermal Fuel Management System. 16 indexed citations

18.

Zhang, Lili, John Jasa, Dongli Li, et al.. (2017). Molecular dynamics simulations of heterogeneous cell membranes in response to uniaxial membrane stretches at high loading rates. Scientific Reports. 7(1). 8316–8316. 17 indexed citations

19.

Zhang, Lili, et al.. (2017). High fidelity computational characterization of the mechanical response of thermally aged polycarbonate. Modelling and Simulation in Materials Science and Engineering. 25(5). 55012–55012. 5 indexed citations

20.

Sêcco, Ney Rafael, John Jasa, Gaetan K. Kenway, & Joaquim R. R. A. Martins. (2017). Component-based Geometry Manipulation for Aerodynamic Shape Optimization with Overset Meshes. Deep Blue (University of Michigan). 5 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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