Daniel A. Erwin

734 citations
46 papers · 575 · h-index 13

Impact in

Papers in

Daniel A. Erwin

42 papers receiving 545 citations

Peers

Daniel A. Erwin
Comparison fields: 5 of 72
  • Applied Mathematics 323
  • Computational Mechanics 273
  • Aerospace Engineering 133
  • Atomic and Molecular Physics, and Optics 116
  • Astronomy and Astrophysics 53
Replace Pénélope Leyland with:
Pénélope Leyland Switzerland
Mikhail Alekseevich Lavrentʹev Russia
Grant Palmer United States
В. В. Аристов Russia
Brian Martin Australia
Andrew B. White United States
Katharina Kormann Germany
Hans Babovsky Germany
Claude Greengard United States
Kevin Gott United States
Daniel A. Erwin relative to Pénélope Leyland Switzerland Pénélope Leyland's profile →
Citations per field
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Pénélope Leyland · 1×
Citations per year

Countries citing papers authored by Daniel A. Erwin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Erwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Erwin. 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 Daniel A. Erwin. The network helps show where Daniel A. Erwin may publish in the future.

Co-authors

The 23 scholars most cited alongside Daniel A. Erwin, 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 Daniel A. Erwin Line = papers co-authored together Daniel A. Erwin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198998
2 199157
3 199055
4 199148
5 201747
6 199240
7 200526
8 200819
9 199317
10 199116
11 199314
12 202213
13 198313
14 19879
15 19929
16 19868
17 19888
18 19916
19 19866
20 19856

About Daniel A. Erwin

Daniel A. Erwin is a scholar working on Atomic and Molecular Physics, and Optics, Applied Mathematics, Electrical and Electronic Engineering, Mechanics of Materials and Spectroscopy, having authored 46 papers that have together received 575 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (14 papers), Laser-induced spectroscopy and plasma (8 papers), Atomic and Molecular Physics (8 papers), Plasma Diagnostics and Applications (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Spacecraft Design and Technology (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Vacuum and Plasma Arcs (4 papers). The work is most often cited by research in Applied Mathematics (323 citations), Computational Mechanics (273 citations), Aerospace Engineering (133 citations), Atomic and Molecular Physics, and Optics (116 citations) and Astronomy and Astrophysics (53 citations). Daniel A. Erwin has collaborated with scholars based in United States, Japan and Romania. Frequent co-authors include E. P. Muntz, Joseph A. Kunc, Dean C. Wadsworth, Azad M. Madni, Roger Ghanem, Barry Boehm, Martin A. Gundersen, J. A. Kunc, William D. Deininger and Michael Sievers. Their work appears in journals such as Applied Physics Letters, Journal of the Optical Society of America A, Journal of Fluid Mechanics, Physical Review A and Computer Physics Communications.

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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