Daniel H. Wacks

466 total citations
19 papers, 393 citations indexed

About

Daniel H. Wacks is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Daniel H. Wacks has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 11 papers in Fluid Flow and Transfer Processes and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Daniel H. Wacks's work include Combustion and flame dynamics (13 papers), Advanced Combustion Engine Technologies (11 papers) and Fire dynamics and safety research (7 papers). Daniel H. Wacks is often cited by papers focused on Combustion and flame dynamics (13 papers), Advanced Combustion Engine Technologies (11 papers) and Fire dynamics and safety research (7 papers). Daniel H. Wacks collaborates with scholars based in United Kingdom, Germany and Saudi Arabia. Daniel H. Wacks's co-authors include Nilanjan Chakraborty, Carlo F. Barenghi, Angela White, N. P. Proukakis, Markus Klein, Hong G. Im, Epaminondas Mastorakos, Tamir Brosh, Dinesh V. Patel and Jiawei Lai and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.

In The Last Decade

Daniel H. Wacks

19 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel H. Wacks United Kingdom 12 273 157 123 118 41 19 393
Josef Felver United States 13 303 1.1× 76 0.5× 16 0.1× 59 0.5× 14 0.3× 31 432
Dominique Fourguette United States 12 440 1.6× 117 0.7× 16 0.1× 78 0.7× 49 1.2× 34 584
Daniel Martínez-Ruiz Spain 12 302 1.1× 152 1.0× 85 0.7× 8 0.1× 11 0.3× 29 353
C. D. Carter United States 8 619 2.3× 87 0.6× 31 0.3× 20 0.2× 29 0.7× 13 688
David F. Marran United States 7 195 0.7× 150 1.0× 35 0.3× 13 0.1× 33 0.8× 14 227
L. K. Su United States 7 259 0.9× 40 0.3× 13 0.1× 24 0.2× 11 0.3× 8 330
Pierre Moreau Germany 12 141 0.5× 76 0.5× 47 0.4× 14 0.1× 3 0.1× 34 468
Yu. V. Tunik Russia 9 199 0.7× 29 0.2× 41 0.3× 57 0.5× 6 0.1× 44 378
Ross A. Burns United States 12 247 0.9× 32 0.2× 4 0.0× 60 0.5× 18 0.4× 43 381
O. Jarrett United States 8 221 0.8× 73 0.5× 11 0.1× 26 0.2× 15 0.4× 33 333

Countries citing papers authored by Daniel H. Wacks

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Wacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Wacks. 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 Daniel H. Wacks. The network helps show where Daniel H. Wacks may publish in the future.

Co-authorship network of co-authors of Daniel H. Wacks

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

All Works

19 of 19 papers shown
1.
Wacks, Daniel H., M.E. Nakhchi, & Mohammad Rahmati. (2021). Forced Response of a Low-Pressure Turbine Blade using Spectral/hp Element Method: Direct Numerical Simulation. SHILAP Revista de lepidopterología. 7(1). 135–147. 3 indexed citations
2.
Wacks, Daniel H., et al.. (2020). Statistical Behaviour and Modelling of Fuel Mass Fraction Dissipation Rate Transport in Turbulent Flame-Droplet Interaction: A Direct Numerical Simulation study. Flow Turbulence and Combustion. 105(1). 237–266. 2 indexed citations
3.
4.
Lai, Jiawei, Daniel H. Wacks, & Nilanjan Chakraborty. (2018). Flow topology distribution in head-on quenching of turbulent premixed flame: A Direct Numerical Simulation analysis. Fuel. 224. 186–209. 14 indexed citations
5.
Chakraborty, Nilanjan, et al.. (2018). Generalized flame surface density transport conditional on flow topologies for turbulent H2-air premixed flames in different regimes of combustion. Numerical Heat Transfer Part A Applications. 74(7). 1353–1367. 2 indexed citations
6.
Chakraborty, Nilanjan, et al.. (2018). Scalar dissipation rate transport conditional on flow topologies in different regimes of premixed turbulent combustion. Proceedings of the Combustion Institute. 37(2). 2353–2361. 7 indexed citations
7.
Wacks, Daniel H., et al.. (2018). Effects of Lewis number on the statistics of the invariants of the velocity gradient tensor and local flow topologies in turbulent premixed flames. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 474(2212). 20170706–20170706. 11 indexed citations
8.
Wacks, Daniel H., et al.. (2017). Enstrophy transport conditional on local flow topologies in different regimes of premixed turbulent combustion. Scientific Reports. 7(1). 37 indexed citations
9.
Wacks, Daniel H. & Nilanjan Chakraborty. (2016). Statistical Analysis of the Reaction Progress Variable and Mixture Fraction Gradients in Flames Propagating into Droplet Mist: A Direct Numerical Simulation Analysis. Combustion Science and Technology. 188(11-12). 2149–2177. 9 indexed citations
10.
Wacks, Daniel H. & Nilanjan Chakraborty. (2016). Flame Structure and Propagation in Turbulent Flame-Droplet Interaction: A Direct Numerical Simulation Analysis. Flow Turbulence and Combustion. 96(4). 1053–1081. 35 indexed citations
11.
Wacks, Daniel H., et al.. (2016). Statistical behavior of fuel mass fraction variance transport in turbulent flame–droplet interaction: A direct numerical simulation analysis. Numerical Heat Transfer Part A Applications. 70(10). 1087–1100. 1 indexed citations
12.
Wacks, Daniel H. & Nilanjan Chakraborty. (2016). Flow topology and alignments of scalar gradients and vorticity in turbulent spray flames: A Direct Numerical Simulation analysis. Fuel. 184. 922–947. 17 indexed citations
13.
Wacks, Daniel H., et al.. (2016). Flow topologies in different regimes of premixed turbulent combustion: A direct numerical simulation analysis. Physical Review Fluids. 1(8). 41 indexed citations
14.
Wacks, Daniel H., Nilanjan Chakraborty, & Epaminondas Mastorakos. (2015). Statistical Analysis of Turbulent Flame-Droplet Interaction: A Direct Numerical Simulation Study. Flow Turbulence and Combustion. 96(2). 573–607. 40 indexed citations
15.
Brosh, Tamir, Dinesh V. Patel, Daniel H. Wacks, & Nilanjan Chakraborty. (2014). Numerical investigation of localised forced ignition of pulverised coal particle-laden mixtures: A Direct Numerical Simulation (DNS) analysis. Fuel. 145. 50–62. 32 indexed citations
16.
Wacks, Daniel H., Andrew W. Baggaley, & Carlo F. Barenghi. (2014). Coherent laminar and turbulent motion of toroidal vortex bundles. Physics of Fluids. 26(2). 14 indexed citations
17.
White, Angela, et al.. (2011). Turbulence in a Bose-Einstein condensate. Journal of Physics Conference Series. 318(6). 62003–62003. 4 indexed citations
18.
Wacks, Daniel H. & Carlo F. Barenghi. (2011). Shell model of superfluid turbulence. Physical Review B. 84(18). 21 indexed citations
19.
White, Angela, et al.. (2010). Nonclassical Velocity Statistics in a Turbulent Atomic Bose-Einstein Condensate. Physical Review Letters. 104(7). 75301–75301. 84 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Josef Felver Breakdown of academic impact, for papers by Dominique Fourguette Breakdown of academic impact, for papers by Daniel Martínez-Ruiz Breakdown of academic impact, for papers by C. D. Carter Breakdown of academic impact, for papers by David F. Marran Breakdown of academic impact, for papers by L. K. Su Breakdown of academic impact, for papers by Pierre Moreau Breakdown of academic impact, for papers by Yu. V. Tunik Breakdown of academic impact, for papers by Ross A. Burns Breakdown of academic impact, for papers by O. Jarrett
Rankless by CCL
2026