Marcus G. Martin

6.6k total citations · 3 hit papers
32 papers, 5.7k citations indexed

About

Marcus G. Martin is a scholar working on Biomedical Engineering, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Marcus G. Martin has authored 32 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 15 papers in Organic Chemistry and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Marcus G. Martin's work include Phase Equilibria and Thermodynamics (23 papers), Chemical Thermodynamics and Molecular Structure (15 papers) and Advanced Chemical Physics Studies (10 papers). Marcus G. Martin is often cited by papers focused on Phase Equilibria and Thermodynamics (23 papers), Chemical Thermodynamics and Molecular Structure (15 papers) and Advanced Chemical Physics Studies (10 papers). Marcus G. Martin collaborates with scholars based in United States and Netherlands. Marcus G. Martin's co-authors include J. Ilja Siepmann, Collin D. Wick, Aidan P. Thompson, Rajamani Krishna, Berend Smit, Thijs J. H. Vlugt, Bin Chen, Peter A. Schultz, Arthur H. Edwards and Andrew C. Pineda and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Marcus G. Martin

32 papers receiving 5.6k citations

Hit Papers

Transferable Potentials for Phase Equilibria. 1. United-A... 1998 2026 2007 2016 1998 1999 2000 500 1000 1.5k 2.0k 2.5k

Peers

Marcus G. Martin
Jeffrey J. Potoff United States
P. A. Monson United States
N. Quirke United Kingdom
Erich A. Müller United Kingdom
Jeffrey J. Potoff United States
Marcus G. Martin
Citations per year, relative to Marcus G. Martin Marcus G. Martin (= 1×) peers Jeffrey J. Potoff

Countries citing papers authored by Marcus G. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Marcus G. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus G. Martin. 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 Marcus G. Martin. The network helps show where Marcus G. Martin may publish in the future.

Co-authorship network of co-authors of Marcus G. Martin

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

All Works

20 of 20 papers shown
1.
Yazaydın, A. Özgür & Marcus G. Martin. (2007). Bubble point pressure estimates from Gibbs ensemble simulations. Fluid Phase Equilibria. 260(2). 195–198. 10 indexed citations
2.
Sabo, Dubravko, Sameer Varma, Marcus G. Martin, & Susan B. Rempe. (2007). Studies of the Thermodynamic Properties of Hydrogen Gas in Bulk Water. The Journal of Physical Chemistry B. 112(3). 867–876. 36 indexed citations
3.
Frink, Laura J. Douglas, Marcus G. Martin, Andrew G. Salinger, & Michael A. Heroux. (2006). High performance computing for the application of molecular theories to biological systems. Journal of Physics Conference Series. 46. 304–310. 1 indexed citations
5.
Sabo, Dubravko, Susan B. Rempe, Jeffery A. Greathouse, & Marcus G. Martin. (2006). Molecular studies of the structural properties of hydrogen gas in bulk water. Molecular Simulation. 32(3-4). 269–278. 24 indexed citations
6.
Edwards, Arthur H., Andrew C. Pineda, Peter A. Schultz, et al.. (2006). Electronic structure of intrinsic defects in crystalline germanium telluride. Physical Review B. 73(4). 208 indexed citations
7.
Edwards, Arthur H., Andrew C. Pineda, Peter A. Schultz, et al.. (2005). Theory of persistent, p-type, metallic conduction in c-GeTe. Journal of Physics Condensed Matter. 17(32). L329–L335. 63 indexed citations
8.
Frink, Laura J. Douglas & Marcus G. Martin. (2004). A combined molecular simulation-molecular theory method applied to a polyatomic molecule in a dense solvent. The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine). 2 indexed citations
9.
Martin, Marcus G. & Aidan P. Thompson. (2003). Industrial property prediction using Towhee and LAMMPS. Fluid Phase Equilibria. 217(1). 105–110. 55 indexed citations
10.
Martin, Marcus G., et al.. (2002). Vapor–liquid phase equilibria of triacontane isomers: Deviations from the principle of corresponding states. Fluid Phase Equilibria. 202(2). 307–324. 28 indexed citations
11.
Martin, Marcus G., Bin Chen, & J. Ilja Siepmann. (2000). Molecular Structure and Phase Diagram of the Binary Mixture of n-Heptane and Supercritical Ethane:  A Gibbs Ensemble Monte Carlo Study. The Journal of Physical Chemistry B. 104(10). 2415–2423. 32 indexed citations
12.
Wick, Collin D., Marcus G. Martin, & J. Ilja Siepmann. (2000). Transferable Potentials for Phase Equilibria. 4. United-Atom Description of Linear and Branched Alkenes and Alkylbenzenes. The Journal of Physical Chemistry B. 104(33). 8008–8016. 525 indexed citations breakdown →
13.
Martin, Marcus G. & J. Ilja Siepmann. (1999). Novel Configurational-Bias Monte Carlo Method for Branched Molecules. Transferable Potentials for Phase Equilibria. 2. United-Atom Description of Branched Alkanes. The Journal of Physical Chemistry B. 103(21). 4508–4517. 767 indexed citations breakdown →
14.
Vlugt, Thijs J. H., Marcus G. Martin, Berend Smit, J. Ilja Siepmann, & Rajamani Krishna. (1998). Improving the eÅ ciency of the con® gurational-bias Monte Carlo algorithm. 1 indexed citations
15.
Chen, Bin, Marcus G. Martin, & J. Ilja Siepmann. (1998). Thermodynamic Properties of the Williams, OPLS-AA, and MMFF94 All-Atom Force Fields for Normal Alkanes. The Journal of Physical Chemistry B. 102(14). 2578–2586. 92 indexed citations
16.
Martin, Marcus G. & J. Ilja Siepmann. (1998). Transferable Potentials for Phase Equilibria. 1. United-Atom Description of n-Alkanes. The Journal of Physical Chemistry B. 102(14). 2569–2577. 2529 indexed citations breakdown →
17.
Martin, Marcus G., Bin Chen, & J. Ilja Siepmann. (1998). A novel Monte Carlo algorithm for polarizable force fields: Application to a fluctuating charge model for water. The Journal of Chemical Physics. 108(9). 3383–3385. 44 indexed citations
18.
Martin, Marcus G. & J. Ilja Siepmann. (1998). Calculating Gibbs free energies of transfer from Gibbs ensemble Monte Carlo simulations. Theoretical Chemistry Accounts. 99(5). 347–350. 63 indexed citations
19.
Vlugt, Thijs J. H., Marcus G. Martin, Berend Smit, J. Ilja Siepmann, & Rajamani Krishna. (1998). Improving the efficiency of the configurational-bias Monte Carlo algorithm. Molecular Physics. 94(4). 727–733. 136 indexed citations
20.
Martin, Marcus G. & J. Ilja Siepmann. (1997). Predicting Multicomponent Phase Equilibria and Free Energies of Transfer for Alkanes by Molecular Simulation. Journal of the American Chemical Society. 119(38). 8921–8924. 135 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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