Kyle M. Hanquist

559 citations
42 papers · 392 · h-index 11

Impact in

Papers in

Kyle M. Hanquist

34 papers receiving 381 citations

Peers

Kyle M. Hanquist
Comparison fields: 5 of 44
  • Applied Mathematics 210
  • Computational Mechanics 140
  • Aerospace Engineering 152
  • Atomic and Molecular Physics, and Optics 81
  • General Materials Science 7
Replace Yu. V. Tunik with:
Yu. V. Tunik Russia
Marcel Pfeiffer Germany
Chunpei Cai United States
B. Z. Cybyk United States
Jonathan Burt United States
Trevor Moeller United States
Paolo Barbante Italy
Ivett Leyva United States
Minh Tuan Ho United Kingdom
A. V. Kashkovsky Russia
Kyle M. Hanquist relative to Yu. V. Tunik Russia Yu. V. Tunik's profile →
Citations per field
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Yu. V. Tunik · 1×
Citations per year

Countries citing papers authored by Kyle M. Hanquist

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Hanquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle M. Hanquist, 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 Kyle M. Hanquist Line = papers co-authored together Kyle M. Hanquist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201845
3 202038
4 202028
5 202223
6 201923
7 201820
8 201418
9 201616
10 201715
11 202115
12 202110
13 20158
14 20188
15 20198
16 20167
17 20206
18 20236
19 20235
20 20195

About Kyle M. Hanquist

Kyle M. Hanquist is a scholar working on Applied Mathematics, Computational Mechanics, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 42 papers that have together received 392 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (29 papers), Computational Fluid Dynamics and Aerodynamics (21 papers), Plasma and Flow Control in Aerodynamics (15 papers), Vacuum and Plasma Arcs (8 papers), Rocket and propulsion systems research (8 papers), Plasma Diagnostics and Applications (6 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Combustion and flame dynamics (4 papers). The work is most often cited by research in Applied Mathematics (210 citations), Computational Mechanics (140 citations), Aerospace Engineering (152 citations), Atomic and Molecular Physics, and Optics (81 citations) and General Materials Science (7 citations). Kyle M. Hanquist has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Iain D. Boyd, Kentaro Hara, Sinan Eyi, Jesse W. Streicher, Ronald K. Hanson, Ross S. Chaudhry, Özgür Tümüklü, Sergey Gimelshein, Ingrid J. Wysong and Е. В. Кустова. Their work appears in journals such as Journal of Thermophysics and Heat Transfer, Physics of Fluids, Journal of Fluids and Structures, Journal of Applied Physics and Plasma Sources Science and Technology.

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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