David Hash

33 papers receiving 1.9k citations

Hit Papers

Carbon nanotube growth by PECVD: a review 2003 · 600 citations
6002003202620102018200400600

Peers

David Hash
Comparison fields: 5 of 59
  • Applied Mathematics 625
  • Computational Mechanics 487
  • Materials Chemistry 1.1k
  • Aerospace Engineering 293
  • Electrical and Electronic Engineering 439
Replace Chun Tang with:
Chun Tang China
Tobias Baier Germany
Yann Le Bouar France
E. W. Becker Germany
Daniel Jakubczyk Poland
Alain Giani France
Franck Celestini France
P. E. Liley United States
Pascal André France
Marek Litniewski Poland
David Hash relative to Chun Tang China Chun Tang's profile →
Citations per field
00.5×1.5×2.0×
Chun Tang · 1×
Citations per year

Countries citing papers authored by David Hash

Since Specialization
Citations

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

Fields of papers citing papers by David Hash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Carbon nanotube growth by PECVD: a review
Hit paper breakdown →
2003600
2 2002174
3 1994114
4 2004107
5 200787
6 199685
7 199884
8 199377
9 200271
10 200669
11 200151
12 200349
13 199639
14 199738
15 200537
16 200428
17 199527
18 199726
19 199424
20 200723

About David Hash

David Hash is a scholar working on Applied Mathematics, Computational Mechanics, Materials Chemistry, Aerospace Engineering and Geophysics, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (17 papers), Carbon Nanotubes in Composites (10 papers), Graphene research and applications (10 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Diamond and Carbon-based Materials Research (8 papers), Plasma Diagnostics and Applications (7 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Plasma and Flow Control in Aerodynamics (5 papers). The work is most often cited by research in Applied Mathematics (625 citations), Computational Mechanics (487 citations), Materials Chemistry (1.1k citations), Aerospace Engineering (293 citations) and Electrical and Electronic Engineering (439 citations). David Hash has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include M. Meyyappan, Lance Delzeit, Alan M. Cassell, H. A. Hassan, Brett A. Cruden, Hassan Hemida, T. R. Govindan, Deepak Bose, Kenneth B. K. Teo and W. I. Milne. Their work appears in journals such as Journal of Applied Physics, Journal of Thermophysics and Heat Transfer, Physics of Fluids, Nano Letters and Journal of The Electrochemical Society.

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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