Scott M. Stark

689 total citations
10 papers, 548 citations indexed

About

Scott M. Stark is a scholar working on Biomedical Engineering, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Scott M. Stark has authored 10 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 2 papers in Computational Theory and Mathematics and 2 papers in Analytical Chemistry. Recurrent topics in Scott M. Stark's work include Machine Learning in Materials Science (2 papers), Petroleum Processing and Analysis (2 papers) and Thermochemical Biomass Conversion Processes (2 papers). Scott M. Stark is often cited by papers focused on Machine Learning in Materials Science (2 papers), Petroleum Processing and Analysis (2 papers) and Thermochemical Biomass Conversion Processes (2 papers). Scott M. Stark collaborates with scholars based in United States. Scott M. Stark's co-authors include Michael T. Klein, Linda J. Broadbelt, Matthew Neurock, Antony N. Beris, Muzaffer Yaşar, Henry C. Foley, Kenneth B. Bischoff and Robert H. Harding and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and Energy & Fuels.

In The Last Decade

Scott M. Stark

10 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott M. Stark United States 8 174 135 113 109 96 10 548
Andrew J. Dallas United States 16 210 1.2× 317 2.3× 42 0.4× 110 1.0× 59 0.6× 38 859
Debra A. Tirey United States 12 127 0.7× 115 0.9× 64 0.6× 64 0.6× 49 0.5× 16 542
A. Dallos Hungary 16 177 1.0× 203 1.5× 62 0.5× 51 0.5× 78 0.8× 50 681
Shamel S. Merchant United States 16 267 1.5× 162 1.2× 121 1.1× 117 1.1× 36 0.4× 20 886
David M. Matheu United States 9 142 0.8× 143 1.1× 123 1.1× 18 0.2× 36 0.4× 10 516
Gabriela Espinosa Spain 14 158 0.9× 93 0.7× 93 0.8× 24 0.2× 178 1.9× 30 563
Antoon ten Kate Netherlands 10 139 0.8× 331 2.5× 66 0.6× 25 0.2× 83 0.9× 13 640
Miklós Görgényi Hungary 12 77 0.4× 199 1.5× 24 0.2× 96 0.9× 108 1.1× 30 555
Eduardo J. Delgado Chile 15 325 1.9× 89 0.7× 121 1.1× 12 0.1× 66 0.7× 62 656
Nathan W. Yee United States 5 171 1.0× 88 0.7× 82 0.7× 20 0.2× 49 0.5× 6 428

Countries citing papers authored by Scott M. Stark

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott M. Stark. 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 Scott M. Stark. The network helps show where Scott M. Stark may publish in the future.

Co-authorship network of co-authors of Scott M. Stark

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

All Works

10 of 10 papers shown
1.
Broadbelt, Linda J., Scott M. Stark, & Michael T. Klein. (1996). Computer generated reaction modelling: Decomposition and encoding algorithms for determining species uniqueness. Computers & Chemical Engineering. 20(2). 113–129. 83 indexed citations
2.
Broadbelt, Linda J., Scott M. Stark, & Michael T. Klein. (1995). Termination of Computer-Generated Reaction Mechanisms: Species Rank-Based Convergence Criterion. Industrial & Engineering Chemistry Research. 34(8). 2566–2573. 64 indexed citations
3.
Stark, Scott M., Matthew Neurock, & Michael T. Klein. (1995). Comparison of MIMD and SIMD strategies for Monte Carlo modelling of kinetically coupled reactions. Computers & Chemical Engineering. 19(6-7). 719–742. 3 indexed citations
5.
Stark, Scott M., et al.. (1994). Representation of the Molecular Structure of Petroleum Resid through Characterization and Monte Carlo Modeling. Energy & Fuels. 8(3). 576–580. 64 indexed citations
6.
Broadbelt, Linda J., Scott M. Stark, & Michael T. Klein. (1994). Computer Generated Pyrolysis Modeling: On-the-Fly Generation of Species, Reactions, and Rates. Industrial & Engineering Chemistry Research. 33(4). 790–799. 233 indexed citations
7.
Broadbelt, Linda J., Scott M. Stark, & Michael T. Klein. (1994). Computer generated reaction networks: on-the-fly calculation of species properties using computational quantum chemistry. Chemical Engineering Science. 49(24). 4991–5010. 57 indexed citations
8.
Stark, Scott M., Matthew Neurock, & Michael T. Klein. (1993). Strategies for modelling kinetic interactions in complex mixtures: Monte Carlo algorithms for MIMD parallel architectures. Chemical Engineering Science. 48(24). 4081–4096. 8 indexed citations
9.
Neurock, Matthew, Michael T. Klein, Scott M. Stark, et al.. (1992). Monte Carlo simulation of complex reactive mixture: An FCC case study. 88(291). 68–75. 2 indexed citations
10.
Stark, Scott M. & Antony N. Beris. (1992). LU decomposition optimized for a parallel computer with a hierarchical distributed memory. Parallel Computing. 18(9). 959–971. 8 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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