David Hash

2.5k total citations · 1 hit paper
34 papers, 1.9k citations indexed

About

David Hash is a scholar working on Applied Mathematics, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, David Hash has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 14 papers in Materials Chemistry and 10 papers in Computational Mechanics. Recurrent topics in David Hash's work include Gas Dynamics and Kinetic Theory (17 papers), Graphene research and applications (10 papers) and Carbon Nanotubes in Composites (10 papers). David Hash is often cited by papers focused on Gas Dynamics and Kinetic Theory (17 papers), Graphene research and applications (10 papers) and Carbon Nanotubes in Composites (10 papers). David Hash collaborates with scholars based in United States, United Kingdom and Australia. David Hash's co-authors include M. Meyyappan, Lance Delzeit, Alan M. Cassell, H. A. Hassan, Brett A. Cruden, Hassan Hemida, Deepak Bose, T. R. Govindan, Martin S. Bell and W. I. Milne and has published in prestigious journals such as Nano Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

David Hash

33 papers receiving 1.9k citations

Hit Papers

Carbon nanotube growth by PECVD: a review 2003 2026 2010 2018 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Carbon nanotube growth by PECVD: a review
    2003 600 citations M. Meyyappan, Lance Delzeit et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Hash United States 20 1.1k 625 487 439 293 34 1.9k
Chun Tang China 22 1.3k 1.2× 337 0.5× 242 0.5× 387 0.9× 299 1.0× 94 1.9k
Tobias Baier Germany 23 397 0.4× 106 0.2× 328 0.7× 452 1.0× 66 0.2× 75 1.5k
Yann Le Bouar France 27 1.8k 1.7× 69 0.1× 94 0.2× 237 0.5× 592 2.0× 75 2.7k
Daniel Jakubczyk Poland 17 298 0.3× 49 0.1× 136 0.3× 279 0.6× 29 0.1× 48 878
E. W. Becker Germany 14 171 0.2× 85 0.1× 152 0.3× 552 1.3× 119 0.4× 48 1.4k
Alain Giani France 24 1.0k 1.0× 26 0.0× 92 0.2× 1.1k 2.6× 70 0.2× 88 1.9k
Franck Celestini France 21 454 0.4× 12 0.0× 458 0.9× 359 0.8× 122 0.4× 63 1.4k
P. E. Liley United States 8 528 0.5× 23 0.0× 115 0.2× 173 0.4× 99 0.3× 27 1.0k
Pascal André France 20 401 0.4× 77 0.1× 44 0.1× 597 1.4× 99 0.3× 71 1.2k
P. Hervé France 13 835 0.8× 11 0.0× 94 0.2× 628 1.4× 244 0.8× 48 1.5k

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-authorship network of co-authors of David Hash

This figure shows the co-authorship network connecting the top 25 collaborators of David Hash. A scholar is included among the top collaborators of David Hash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Hash. David Hash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bilén, Sven G., et al.. (2011). Testing of a Wireless Sensor System for Instrumented Thermal Protection Systems. NASA STI Repository (National Aeronautics and Space Administration).
2.
Garg, Rajesh, et al.. (2008). Effects of Feed Gas Composition and Catalyst Thickness on Carbon Nanotube and Nanofiber Synthesis by Plasma Enhanced Chemical Vapor Deposition. Journal of Nanoscience and Nanotechnology. 8(6). 3068–3076. 11 indexed citations
3.
Ruffin, Stephen, et al.. (2007). Validation Process for Blowing and Transpiration-Cooling in DPLR. 23 indexed citations
4.
Teo, Kenneth B. K., David Hash, Rodrigo G. Lacerda, et al.. (2004). The Significance of Plasma Heating in Carbon Nanotube and Nanofiber Growth. Nano Letters. 4(5). 921–926. 107 indexed citations
5.
Cruden, Brett A., Alan M. Cassell, David Hash, & M. Meyyappan. (2004). Residual gas analysis of a dc plasma for carbon nanofiber growth. Journal of Applied Physics. 96(9). 5284–5292. 14 indexed citations
6.
Hash, David & M. Meyyappan. (2002). Model based comparison of thermal and plasma chemical vapor deposition of carbon nanotubes. Journal of Applied Physics. 93(1). 750–752. 71 indexed citations
7.
Delzeit, Lance, Ian M. McAninch, Brett A. Cruden, et al.. (2002). Growth of multiwall carbon nanotubes in an inductively coupled plasma reactor. Journal of Applied Physics. 91(9). 6027–6033. 174 indexed citations
8.
DeVincenzi, Donald L., David Hash, Lance Delzeit, Brett A. Cruden, & M. Meyyappan. (2001). Plasma CVD of Carbon Nanotubes. 1 indexed citations
9.
Hash, David, et al.. (2001). Impact of gas heating in inductively coupled plasmas. Journal of Applied Physics. 90(5). 2148–2157. 51 indexed citations
10.
Hash, David, et al.. (2000). Characterization of showerhead performance at low pressure. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 18(6). 2808–2813. 5 indexed citations
11.
Hash, David & Hassan Hemida. (1997). Two-dimensional coupling issues of hybrid DSMC/Navier-Stokes solvers. 26 indexed citations
12.
Hash, David & M. Meyyappan. (1997). A Direct Simulation Monte Carlo Study of Flow Considerations in Plasma Reactor Development for 300 mm Processing. Journal of The Electrochemical Society. 144(11). 3999–4004. 8 indexed citations
13.
Hash, David & Hassan Hemida. (1996). A decoupled DSMC/Navier-Stokes analysis of a transitional flow experiment. 34th Aerospace Sciences Meeting and Exhibit. 39 indexed citations
14.
Hash, David & Hassan Hemida. (1995). A hybrid DSMC/Navier-Stokes solver. 33rd Aerospace Sciences Meeting and Exhibit. 14 indexed citations
15.
Moss, James N., Virendra K. Dogra, Joseph M. Price, & David Hash. (1995). Comparison of DSMC and experimental results for hypersonic external flows. 27 indexed citations
16.
Kunc, J. A., David Hash, & H. A. Hassan. (1995). The GHS interaction model for strong attractive potentials. Physics of Fluids. 7(5). 1173–1175. 9 indexed citations
17.
Hash, David, James N. Moss, & H. A. Hassan. (1994). Direct simulation of diatomic gases using the generalized hard sphere model. Journal of Thermophysics and Heat Transfer. 8(4). 758–764. 24 indexed citations
18.
Haas, Brian L., David Hash, Graeme A. Bird, Forrest Lumpkin, & H. A. Hassan. (1994). Rates of thermal relaxation in direct simulation Monte Carlo methods. Physics of Fluids. 6(6). 2191–2201. 114 indexed citations
19.
Hash, David & Hassan Hemida. (1993). Direct simulation of diatomic gases using the generalized hard sphere model. 31st Aerospace Sciences Meeting. 3 indexed citations
20.
Hash, David & Hassan Hemida. (1992). Direct simulation with vibration-dissociation coupling. 1 indexed citations

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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