Daniel A. Erwin

744 citations
49 papers · 613 · h-index 13

Impact in

Papers in

Daniel A. Erwin

45 papers receiving 577 citations

Peers

Daniel A. Erwin
Comparison fields: 5 of 76
  • Applied Mathematics 339
  • Computational Mechanics 286
  • Aerospace Engineering 132
  • Atomic and Molecular Physics, and Optics 121
  • Safety, Risk, Reliability and Quality 28
Replace Maria Lampis with:
Maria Lampis Italy
Pénélope Leyland Switzerland
L. Marraffa Netherlands
Prem K. Kythe United States
Claude Greengard United States
Loula Fézoui France
Brian Martin Australia
В. В. Аристов Russia
Andrew B. White United States
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989102
2 199160
3 199058
4 201754
5 199150
6 199241
7 200527
8 200819
9 199318
10 199116
11 199314
12 202214
13 198313
14 19879
15 19939
16 19929
17 19868
18 19868
19 19888
20 19857

About Daniel A. Erwin

Daniel A. Erwin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Applied Mathematics, Mechanics of Materials and Spectroscopy, having authored 49 papers that have together received 613 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (14 papers), Plasma Diagnostics and Applications (8 papers), Laser-induced spectroscopy and plasma (8 papers), Atomic and Molecular Physics (8 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Spacecraft Design and Technology (5 papers), Laser Design and Applications (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Applied Mathematics (339 citations), Computational Mechanics (286 citations), Aerospace Engineering (132 citations), Atomic and Molecular Physics, and Optics (121 citations) and Safety, Risk, Reliability and Quality (28 citations). Daniel A. Erwin has collaborated with scholars based in United States, Romania and Japan. 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, Physical Review A, Journal of Fluid Mechanics, Journal of the Optical Society of America A and IEEE Transactions on Plasma Science.

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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