E. David Huckaby

594 citations
30 papers · 429 · h-index 10

Impact in

Papers in

E. David Huckaby

28 papers receiving 417 citations

Peers

E. David Huckaby
Comparison fields: 5 of 41
  • Computational Mechanics 191
  • Fluid Flow and Transfer Processes 54
  • Mechanical Engineering 200
  • Biomedical Engineering 226
  • Renewable Energy, Sustainability and the Environment 66
Replace R. Payne with:
R. Payne United States
Nikolett Sipöcz Norway
P.J. Edge United Kingdom
В. И. Терехов Russia
Keishi Kariya Japan
Nathan Weiland United States
Hin‐Sum Law Canada
Dirk Riechelmann Japan
Brock Forrest United States
David Freed United States
E. David Huckaby relative to R. Payne United States R. Payne's profile →
Citations per field
00.5×
R. Payne · 1×
Citations per year

Countries citing papers authored by E. David Huckaby

Since Specialization
Citations

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

Fields of papers citing papers by E. David Huckaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. David Huckaby. 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 E. David Huckaby. The network helps show where E. David Huckaby may publish in the future.

Co-authors

The 25 scholars most cited alongside E. David Huckaby, 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 E. David Huckaby Line = papers co-authored together E. David Huckaby 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 201170
2 201063
3 201344
4 201044
5 201342
6 201036
7 201116
8 201413
9 202312
10 200610
11 20129
12 20078
13 20098
14 20177
15 20097
16 20056
17 20045
18 20185
19 20215
20 20033

About E. David Huckaby

E. David Huckaby is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanical Engineering, Fluid Flow and Transfer Processes and Aerospace Engineering, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Combustion and flame dynamics (14 papers), Advanced Combustion Engine Technologies (6 papers), Granular flow and fluidized beds (6 papers), Carbon Dioxide Capture Technologies (5 papers), Particle Dynamics in Fluid Flows (5 papers), Combustion and Detonation Processes (5 papers), Chemical Looping and Thermochemical Processes (5 papers) and Thermochemical Biomass Conversion Processes (4 papers). The work is most often cited by research in Computational Mechanics (191 citations), Fluid Flow and Transfer Processes (54 citations), Mechanical Engineering (200 citations), Biomedical Engineering (226 citations) and Renewable Energy, Sustainability and the Environment (66 citations). E. David Huckaby has collaborated with scholars based in United States. Frequent co-authors include John M. Kuhlman, Thomas O’Brien, Ronald W. Breault, Osama A. Marzouk, Xin Sun, Gautham Krishnamoorthy, Mehrdad Shahnam, Stefano Orsino, Douglas Straub and Muhammad Sami. Their work appears in journals such as Powder Technology, Chemical Engineering Science, Journal of Engineering for Gas Turbines and Power, Advanced Powder Technology and Combustion 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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