David Humbird

4.0k citations
28 papers · 1.1k · h-index 20

Impact in

Papers in

David Humbird

28 papers receiving 1.1k citations

Peers

David Humbird
Comparison fields: 5 of 84
  • Biomedical Engineering 498
  • Computational Mechanics 176
  • Catalysis 46
  • Electrical and Electronic Engineering 353
  • Materials Chemistry 207
Replace Satoshi Uchida with:
Satoshi Uchida Japan
Quan Zhou China
Ramiz A. Boulos Australia
Kapila Wadumesthrige United States
R. Lahoz Spain
Chunyu Li China
Alia Méndez‐Albores Mexico
Chengwei Liu China
Philippe Schmitz France
Pengli Li China
David Humbird relative to Satoshi Uchida Japan Satoshi Uchida's profile →
Citations per field
00.5×6.5×
Satoshi Uchida · 1×
Citations per year

Countries citing papers authored by David Humbird

Since Specialization
Citations

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

Fields of papers citing papers by David Humbird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021150
2 2016117
3 201593
4 201789
5 201087
6 200255
7 200454
8 200448
9 201746
10 201545
11 200432
12 201231
13 200727
14 201827
15 200426
16 200425
17 200425
18 202223
19 200522
20 200719

About David Humbird

David Humbird is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics, Materials Chemistry and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Ion-surface interactions and analysis (9 papers), Biofuel production and bioconversion (8 papers), Plasma Diagnostics and Applications (6 papers), Thermochemical Biomass Conversion Processes (4 papers), Silicon Nanostructures and Photoluminescence (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Biomedical Engineering (498 citations), Computational Mechanics (176 citations), Catalysis (46 citations), Electrical and Electronic Engineering (353 citations) and Materials Chemistry (207 citations). David Humbird has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include David B. Graves, Ryan Davis, Abhijit Dutta, Nancy Dowe, James D. McMillan, Joshua A. Schaidle, Ali Mohagheghi, Daniel J. Schell, Asad H. Sahir and Frederick G. Baddour. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Journal of Applied Physics, Biofuels Bioproducts and Biorefining, Plasma Sources Science and Technology and ACS Sustainable Chemistry & Engineering.

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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