D. A. Haynes

1.1k total citations
17 papers, 216 citations indexed

About

D. A. Haynes is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. A. Haynes has authored 17 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 11 papers in Mechanics of Materials and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. A. Haynes's work include Laser-Plasma Interactions and Diagnostics (12 papers), Laser-induced spectroscopy and plasma (10 papers) and Laser-Matter Interactions and Applications (8 papers). D. A. Haynes is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (12 papers), Laser-induced spectroscopy and plasma (10 papers) and Laser-Matter Interactions and Applications (8 papers). D. A. Haynes collaborates with scholars based in United States. D. A. Haynes's co-authors include Mark Gunderson, C. F. Hooper, Roberto Mancini, R. Tommasini, L. Welser-Sherrill, I. Golovkin, J. A. Delettrez, S. W. Haan, N. Izumi and V. A. Smalyuk and has published in prestigious journals such as Review of Scientific Instruments, Physics of Plasmas and Journal of Quantitative Spectroscopy and Radiative Transfer.

In The Last Decade

D. A. Haynes

17 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Haynes United States 9 159 116 105 48 35 17 216
J. C. Moreno United States 9 263 1.7× 132 1.1× 186 1.8× 68 1.4× 79 2.3× 12 340
A. M. Saunders United States 8 113 0.7× 61 0.5× 56 0.5× 35 0.7× 69 2.0× 26 175
K. Otani Japan 8 125 0.8× 87 0.8× 50 0.5× 33 0.7× 108 3.1× 21 224
J. N. Waugh United Kingdom 8 194 1.2× 121 1.0× 88 0.8× 29 0.6× 55 1.6× 19 249
T. M. Guymer United Kingdom 8 164 1.0× 113 1.0× 102 1.0× 37 0.8× 77 2.2× 13 223
R. B. Randolph United States 9 125 0.8× 44 0.4× 52 0.5× 50 1.0× 46 1.3× 20 181
M. Desselberger United Kingdom 9 284 1.8× 219 1.9× 155 1.5× 68 1.4× 64 1.8× 13 316
T. A. Hall United Kingdom 8 140 0.9× 88 0.8× 92 0.9× 27 0.6× 102 2.9× 13 255
J. Jaquez United States 8 147 0.9× 117 1.0× 93 0.9× 14 0.3× 34 1.0× 19 194
P. Mabey France 9 100 0.6× 49 0.4× 63 0.6× 50 1.0× 47 1.3× 22 205

Countries citing papers authored by D. A. Haynes

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. A. Haynes

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Haynes. A scholar is included among the top collaborators of D. A. Haynes 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 D. A. Haynes. D. A. Haynes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Welser-Sherrill, L., D. A. Haynes, Roberto Mancini, et al.. (2009). Inference of ICF implosion core mix using experimental dataand theoretical mix modeling. High Energy Density Physics. 5(4). 249–257. 14 indexed citations
2.
Welser-Sherrill, L., James Cooley, D. A. Haynes, et al.. (2008). Application of fall-line mix models to understand degraded yield. Physics of Plasmas. 15(7). 13 indexed citations
3.
Welser-Sherrill, L., D. A. Haynes, R. C. Mancini, et al.. (2008). Inference of ICF Implosion Core Mix using Experimental Data and Theoretical Mix Modeling. University of North Texas Digital Library (University of North Texas). 5(4). 1 indexed citations
4.
Welser-Sherrill, L., Roberto Mancini, Joachim Koch, et al.. (2007). Spectroscopic determination of temperature and density spatial profiles and mix in indirect-drive implosion cores. Physical Review E. 76(5). 56403–56403. 24 indexed citations
5.
Welser-Sherrill, L., Roberto Mancini, Joachim Koch, et al.. (2007). Development of spectroscopic tools for the determination of temperature and density spatial profiles in implosion cores. High Energy Density Physics. 3(1-2). 287–291. 7 indexed citations
6.
Welser-Sherrill, L., Roberto Mancini, D. A. Haynes, et al.. (2007). Development of two mix model postprocessors for the investigation of shell mix in indirect drive implosion cores. Physics of Plasmas. 14(7). 16 indexed citations
7.
Welser-Sherrill, L., et al.. (2007). Inference of Mix from Experimental Data and Theoretical Mix Models. AIP conference proceedings. 926. 238–247. 2 indexed citations
8.
Nagayama, Taisuke, Roberto Mancini, Sushil J. Louis, et al.. (2006). Multiobjective method for fitting pinhole image intensity profiles of implosion cores driven by a Pareto genetic algorithm. Review of Scientific Instruments. 77(10). 6 indexed citations
9.
Mancini, Roberto, Taisuke Nagayama, R. Tommasini, et al.. (2006). Spatial structure analysis of direct-drive implosion cores at OMEGA using x-ray narrow-band core images. Review of Scientific Instruments. 77(10). 3 indexed citations
10.
Kyrala, G. A., Mark Gunderson, N. D. Delamater, et al.. (2006). Detailed diagnosis of a double-shell collision under realistic implosion conditions. Physics of Plasmas. 13(5). 13 indexed citations
11.
Mancini, Roberto, Joachim Koch, N. Izumi, et al.. (2005). Multi-objective spectroscopic analysis of core gradients: Extension from two to three objectives. Journal of Quantitative Spectroscopy and Radiative Transfer. 99(1-3). 649–657. 13 indexed citations
12.
Gunderson, Mark, D. A. Haynes, & D. P. Kilcrease. (2005). Using semiclassical models for electron broadening and line shift calculations of and dipole transitions. Journal of Quantitative Spectroscopy and Radiative Transfer. 99(1-3). 255–264. 2 indexed citations
13.
Haynes, D. A., et al.. (2003). Flexible database-driven opacity and spectrum calculations. Journal of Quantitative Spectroscopy and Radiative Transfer. 81(1-4). 513–520. 6 indexed citations
14.
Barnes, Cris W., S. H. Batha, Mike Dunne, et al.. (2002). Observation of mix in a compressible plasma in a convergent cylindrical geometry. Physics of Plasmas. 9(11). 4431–4434. 47 indexed citations
15.
Gunderson, Mark, et al.. (2000). Full Coulomb calculation of Stark broadened spectra from multielectron ions: A focus on the dense plasma line shift. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(4). 5584–5593. 38 indexed citations
16.
Haynes, D. A.. (2000). Plasma induced line shifts and their effects on line merging and population kinetics. AIP conference proceedings. 547. 227–237. 1 indexed citations
17.
Haynes, D. A., C. F. Hooper, Roberto Mancini, et al.. (1995). Spectroscopic analysis of Ar-doped laser-driven implosions. Review of Scientific Instruments. 66(1). 755–757. 10 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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