Daniel T. Thorne

2.2k total citations · 2 hit papers
8 papers, 1.8k citations indexed

About

Daniel T. Thorne is a scholar working on Computational Mechanics, Accounting and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel T. Thorne has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 2 papers in Accounting and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel T. Thorne's work include Lattice Boltzmann Simulation Studies (3 papers), Aerosol Filtration and Electrostatic Precipitation (2 papers) and Accounting Education and Careers (2 papers). Daniel T. Thorne is often cited by papers focused on Lattice Boltzmann Simulation Studies (3 papers), Aerosol Filtration and Electrostatic Precipitation (2 papers) and Accounting Education and Careers (2 papers). Daniel T. Thorne collaborates with scholars based in United States. Daniel T. Thorne's co-authors include Michael C. Sukop, Christian D. Langevin, Weixing Guo, Alyssa Dausman, Marcel G. Schaap, Haibo Huang, Jonathan Joseph Hu, Craig C. Douglas, Jaideep Ray and Raymond S. Tuminaro and has published in prestigious journals such as Journal of Business Finance & Accounting, Journal of Education for Business and Numerical Linear Algebra with Applications.

In The Last Decade

Daniel T. Thorne

8 papers receiving 1.6k citations

Hit Papers

Lattice Boltzmann Modeling: An Introduction for Geoscient... 2005 2026 2012 2019 2005 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Thorne United States 5 1.2k 577 392 260 231 8 1.8k
Andrea Parmigiani Switzerland 16 801 0.7× 303 0.5× 165 0.4× 28 0.1× 230 1.0× 25 1.6k
Yehuda Bachmat Israel 11 454 0.4× 89 0.2× 586 1.5× 76 0.3× 249 1.1× 25 1.6k
Ivan Lunati Switzerland 23 866 0.7× 92 0.2× 616 1.6× 32 0.1× 619 2.7× 76 1.8k
Maciej Matyka Poland 11 365 0.3× 115 0.2× 223 0.6× 20 0.1× 243 1.1× 28 1.0k
A.H. Clément France 21 600 0.5× 207 0.4× 220 0.6× 100 0.4× 1.1k 4.7× 64 1.7k
Yuan Wang China 25 364 0.3× 155 0.3× 260 0.7× 38 0.1× 242 1.0× 229 2.5k
S. A. Galindo‐Torres Australia 25 1.0k 0.9× 217 0.4× 228 0.6× 11 0.0× 368 1.6× 106 1.9k
Zhenhua Xia China 20 989 0.9× 131 0.2× 235 0.6× 13 0.1× 161 0.7× 98 1.3k
Stuart D.C. Walsh Australia 32 581 0.5× 206 0.4× 855 2.2× 19 0.1× 1.2k 5.1× 106 2.9k
Sheng Zhang China 31 217 0.2× 129 0.2× 163 0.4× 29 0.1× 217 0.9× 197 3.4k

Countries citing papers authored by Daniel T. Thorne

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Thorne'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 T. Thorne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Thorne more than expected).

Fields of papers citing papers by Daniel T. Thorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Thorne

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

All Works

8 of 8 papers shown
1.
Langevin, Christian D., Daniel T. Thorne, Alyssa Dausman, Michael C. Sukop, & Weixing Guo. (2008). SEAWAT Version 4: A Computer Program for Simulation of Multi-Species Solute and Heat Transport. Techniques and methods. 439 indexed citations
2.
Huang, Haibo, Daniel T. Thorne, Marcel G. Schaap, & Michael C. Sukop. (2007). Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models. Physical Review E. 76(6). 66701–66701. 273 indexed citations
3.
Sukop, Michael C. & Daniel T. Thorne. (2006). Lattice Boltzmann Modeling. 394 indexed citations breakdown →
4.
Sukop, Michael C. & Daniel T. Thorne. (2005). Lattice Boltzmann Modeling: An Introduction for Geoscientists and Engineers. CERN Document Server (European Organization for Nuclear Research). 638 indexed citations breakdown →
5.
Douglas, Craig C., Jonathan Joseph Hu, Jaideep Ray, Daniel T. Thorne, & Raymond S. Tuminaro. (2004). Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies. Numerical Linear Algebra with Applications. 11(2-3). 173–187. 2 indexed citations
6.
Thorne, Daniel T., et al.. (1999). Toppling Disciplinary Silos: One Suggestion for Accounting and Management. Journal of Education for Business. 75(2). 99–103. 2 indexed citations
7.
Thorne, Daniel T., et al.. (1994). Holistic Scoring for Measuring and Promoting Improvement in Writing Skills. Journal of Education for Business. 69(4). 226–230. 4 indexed citations
8.
Thorne, Daniel T.. (1991). The Information Content of the Trend Between Historic Cost Earnings and Current Cost Earnings (United States of America). Journal of Business Finance & Accounting. 18(3). 289–303. 3 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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