Paul J. Hadwin

493 total citations
19 papers, 393 citations indexed

About

Paul J. Hadwin is a scholar working on Artificial Intelligence, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Paul J. Hadwin has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in Paul J. Hadwin's work include Speech Recognition and Synthesis (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Voice and Speech Disorders (5 papers). Paul J. Hadwin is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Voice and Speech Disorders (5 papers). Paul J. Hadwin collaborates with scholars based in Canada, United States and Chile. Paul J. Hadwin's co-authors include Kyle J. Daun, Samuel J. Grauer, Timothy A. Sipkens, Sean D. Peterson, Kevin A. Thomson, F. Liu, Byron D. Erath, Matías Zañartu, Erkki Somersalo and Daniela Calvetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Paul J. Hadwin

19 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul J. Hadwin Canada 13 103 92 91 85 80 19 393
Saulius Nevas Germany 14 60 0.6× 53 0.6× 187 2.1× 124 1.5× 108 1.4× 50 484
Xiaogang Sun China 13 98 1.0× 67 0.7× 62 0.7× 59 0.7× 95 1.2× 46 451
Kenneth J. DeWitt United States 11 127 1.2× 6 0.1× 38 0.4× 19 0.2× 40 0.5× 29 438
David R. Hanson United States 13 85 0.8× 26 0.3× 101 1.1× 28 0.3× 39 0.5× 44 633
Quang‐Viet Nguyen United States 13 358 3.5× 176 1.9× 79 0.9× 52 0.6× 38 0.5× 35 594
R. D. Saunders United States 13 78 0.8× 20 0.2× 132 1.5× 39 0.5× 84 1.1× 27 423
Samuele Del Bianco Italy 18 22 0.2× 82 0.9× 244 2.7× 229 2.7× 653 8.2× 66 1.2k
N Terzija United Kingdom 11 62 0.6× 144 1.6× 19 0.2× 104 1.2× 115 1.4× 21 442
Vincent Farley Canada 15 44 0.4× 175 1.9× 121 1.3× 111 1.3× 118 1.5× 74 541
Michael B. Frish United States 14 50 0.5× 220 2.4× 143 1.6× 193 2.3× 88 1.1× 42 600

Countries citing papers authored by Paul J. Hadwin

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Hadwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Hadwin. 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 Paul J. Hadwin. The network helps show where Paul J. Hadwin may publish in the future.

Co-authorship network of co-authors of Paul J. Hadwin

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Hadwin. A scholar is included among the top collaborators of Paul J. Hadwin 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 Paul J. Hadwin. Paul J. Hadwin 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.
Hadwin, Paul J., Byron D. Erath, & Sean D. Peterson. (2021). The influence of flow model selection on finite element model parameter estimation using Bayesian inference. SHILAP Revista de lepidopterología. 1(4). 45204–45204. 5 indexed citations
2.
Hadwin, Paul J., Sean D. Peterson, Byron D. Erath, et al.. (2020). Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study. The Journal of the Acoustical Society of America. 147(5). EL434–EL439. 14 indexed citations
3.
Hadwin, Paul J., et al.. (2019). Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model. Applied Sciences. 9(13). 2735–2735. 14 indexed citations
4.
Hadwin, Paul J., et al.. (2019). The effect of high-speed videoendoscopy configuration on reduced-order model parameter estimates by Bayesian inference. The Journal of the Acoustical Society of America. 146(2). 1492–1502. 8 indexed citations
5.
Hadwin, Paul J., Timothy A. Sipkens, Kevin A. Thomson, Fengshan Liu, & Kyle J. Daun. (2018). Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence. Journal of the Optical Society of America A. 35(3). 386–386. 10 indexed citations
6.
Sipkens, Timothy A., Paul J. Hadwin, Samuel J. Grauer, & Kyle J. Daun. (2018). Predicting the heat of vaporization of iron at high temperatures using time-resolved laser-induced incandescence and Bayesian model selection. Journal of Applied Physics. 123(9). 21 indexed citations
7.
Hadwin, Paul J. & Sean D. Peterson. (2017). An extended Kalman filter approach to non-stationary Bayesian estimation of reduced-order vocal fold model parameters. The Journal of the Acoustical Society of America. 141(4). 2909–2920. 12 indexed citations
8.
Grauer, Samuel J., Paul J. Hadwin, Timothy A. Sipkens, & Kyle J. Daun. (2017). Measurement-based meshing, basis selection, and prior assignment in chemical species tomography. Optics Express. 25(21). 25135–25135. 22 indexed citations
9.
Grauer, Samuel J., Paul J. Hadwin, & Kyle J. Daun. (2017). Improving chemical species tomography of turbulent flows using covariance estimation. Applied Optics. 56(13). 3900–3900. 17 indexed citations
10.
Hadwin, Paul J., et al.. (2017). Soot aggregate sizing through multiangle elastic light scattering: Influence of model error. Journal of Aerosol Science. 111. 36–50. 15 indexed citations
11.
Sipkens, Timothy A., Paul J. Hadwin, Samuel J. Grauer, & Kyle J. Daun. (2017). General error model for analysis of laser-induced incandescence signals. Applied Optics. 56(30). 8436–8436. 24 indexed citations
12.
Hadwin, Paul J., et al.. (2017). Quantifying uncertainty in auto-compensating laser-induced incandescence parameters due to multiple nuisance parameters. Applied Physics B. 123(4). 12 indexed citations
13.
Hadwin, Paul J., Timothy A. Sipkens, Kevin A. Thomson, F. Liu, & Kyle J. Daun. (2016). Quantifying uncertainty in soot volume fraction estimates using Bayesian inference of auto-correlated laser-induced incandescence measurements. Applied Physics B. 122(1). 54 indexed citations
14.
Grauer, Samuel J., Paul J. Hadwin, & Kyle J. Daun. (2016). AN ANALYSIS OF PRIOR INFORMATION IN BAYESIAN TOMOGRAPHIC RECONSTRUCTION. 1 indexed citations
15.
Grauer, Samuel J., Paul J. Hadwin, & Kyle J. Daun. (2016). Bayesian approach to the design of chemical species tomography experiments. Applied Optics. 55(21). 5772–5772. 34 indexed citations
16.
Hadwin, Paul J., Kyle J. Daun, Matías Zañartu, et al.. (2016). Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds. The Journal of the Acoustical Society of America. 139(5). 2683–2696. 24 indexed citations
17.
Daun, Kyle J., Samuel J. Grauer, & Paul J. Hadwin. (2015). Chemical species tomography of turbulent flows: Discrete ill-posed and rank deficient problems and the use of prior information. Journal of Quantitative Spectroscopy and Radiative Transfer. 172. 58–74. 81 indexed citations
18.
Calvetti, Daniela, Paul J. Hadwin, Janne M. J. Huttunen, et al.. (2015). Artificial boundary conditions and domain truncation in electrical impedance tomography. Part I: Theory and preliminary results. Inverse Problems and Imaging. 9(3). 749–766. 13 indexed citations
19.
Calvetti, Daniela, Paul J. Hadwin, Janne M. J. Huttunen, Jari P. Kaipio, & Erkki Somersalo. (2015). Artificial boundary conditions and domain truncation in electrical impedance tomography. Part II: Stochastic extension of the boundary map. Inverse Problems and Imaging. 9(3). 767–789. 12 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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