John Jasa

831 citations
30 papers · 584 · h-index 14

Impact in

Papers in

John Jasa

29 papers receiving 572 citations

Peers

John Jasa
Comparison fields: 5 of 59
  • Statistics, Probability and Uncertainty 118
  • Aerospace Engineering 303
  • Global and Planetary Change 247
  • Computational Mechanics 174
  • Computational Theory and Mathematics 103
Replace Hyoung-Jin Kim with:
Hyoung-Jin Kim South Korea
Andrew Hahn United States
Daniel P. Raymer United States
Zhoujie Lyu United States
Zhanxue Wang China
Markus P. Rumpfkeil United States
Maxwell Blair United States
Anubhav Datta United States
Hirokazu Miura United States
Paul Gelhausen United States
John Jasa relative to Hyoung-Jin Kim South Korea Hyoung-Jin Kim's profile →
Citations per field
00.5×3.0×
Hyoung-Jin Kim · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John Jasa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Jasa Line = papers co-authored together John Jasa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 201889
3 202046
4 201943
5 201835
6 201934
7 202326
8 201424
9 201823
10 202320
11 201717
12 201816
13 201814
14 202213
15 202212
16 202010
17 20197
18 20226
19 20216
20 20226

About John Jasa

John Jasa is a scholar working on Aerospace Engineering, Global and Planetary Change, Computational Mechanics, Computational Theory and Mathematics and Environmental Engineering, having authored 30 papers that have together received 584 indexed citations. Recurring topics across this work include Advanced Aircraft Design and Technologies (13 papers), Wind Energy Research and Development (8 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Aerospace and Aviation Technology (5 papers), Wind and Air Flow Studies (4 papers), Force Microscopy Techniques and Applications (3 papers) and Rocket and propulsion systems research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (118 citations), Aerospace Engineering (303 citations), Global and Planetary Change (247 citations), Computational Mechanics (174 citations) and Computational Theory and Mathematics (103 citations). John Jasa has collaborated with scholars based in United States, United Kingdom and France. Frequent 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, Mehrdad Negahban, Lili Zhang and Garrett Barter. Their work appears in journals such as Wind energy science, Journal of Aircraft, Scientific Reports, Structural and Multidisciplinary Optimization and Applied Energy.

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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