C.A. Erdman

1.2k citations
13 papers · 891 indexed · 1 hit paper · h-index 6

C.A. Erdman

10 papers receiving 822 citations

Hit Papers

Use of breakup time data and velocity history data to pre...8181987202620002013250500750

Peers

C.A. Erdman
Comparison fields: 5 of 71
  • Computational Mechanics 667
  • Ocean Engineering 254
  • Fluid Flow and Transfer Processes 98
  • Aerospace Engineering 207
  • Architecture 11
Replace L.-P. Hsiang with:
L.-P. Hsiang United States
Mikhael Gorokhovski France
Metin Renksizbulut Canada
M. C. Yuen United States
V. E. Denny United States
Marco Arienti United States
Pei-Kuan Wu United States
С. В. Алексеенко Russia
Christophe Dumouchel France
F.X. Demoulin France
C.A. Erdman relative to L.-P. Hsiang United States L.-P. Hsiang's profile →
Citations per field
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L.-P. Hsiang · 1×
Citations per year

Countries citing papers authored by C.A. Erdman

Since Specialization
Citations

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

Fields of papers citing papers by C.A. Erdman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside C.A. Erdman, 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 C.A. Erdman Line = papers co-authored together C.A. Erdman links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20245
2 19940
3 19928
4 19926
5
Use of breakup time data and velocity history data to predict the maximum size of stable fragments for acceleration-induced breakup of a liquid dropbreakdown →
1987818
6 19854
7 19847
8
Lunar nuclear power feasibility study
19841
9 19831
10 19753
11 197533
12 19754
13 19731

About C.A. Erdman

C.A. Erdman is a scholar working on Architecture, Media Technology, Aerospace Engineering, Mathematical Physics and Safety, Risk, Reliability and Quality, having authored 13 papers that have together received 891 indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (4 papers), Nuclear reactor physics and engineering (3 papers), Nuclear Materials and Properties (3 papers), Experimental Learning in Engineering (2 papers), Engineering Education and Pedagogy (2 papers), Cyclone Separators and Fluid Dynamics (1 paper), Electrohydrodynamics and Fluid Dynamics (1 paper) and Particle Dynamics in Fluid Flows (1 paper). The work is most often cited by research in Computational Mechanics (667 citations), Ocean Engineering (254 citations), Fluid Flow and Transfer Processes (98 citations), Aerospace Engineering (207 citations) and Architecture (11 citations). C.A. Erdman has collaborated with scholars based in United States. Frequent co-authors include M. Pilch, Mujid S. Kazimi, Charles J. Glover, A.B. Reynolds, R. C. Anderson, David M. Wayne, Geunyoung Yoon, Peter S. Hersh, David Kelly and Steven A. Greenstein. Their work appears in journals such as Nuclear Science and Engineering, Nuclear Technology, Eye & Contact Lens Science & Clinical Practice, International Journal of Multiphase Flow and Journal of Applied Physics.

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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