Lev D. Gelb

4.1k total citations · 1 hit paper
52 papers, 3.4k citations indexed

About

Lev D. Gelb is a scholar working on Materials Chemistry, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Lev D. Gelb has authored 52 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 19 papers in Biomedical Engineering and 16 papers in Condensed Matter Physics. Recurrent topics in Lev D. Gelb's work include Phase Equilibria and Thermodynamics (17 papers), Material Dynamics and Properties (17 papers) and Theoretical and Computational Physics (16 papers). Lev D. Gelb is often cited by papers focused on Phase Equilibria and Thermodynamics (17 papers), Material Dynamics and Properties (17 papers) and Theoretical and Computational Physics (16 papers). Lev D. Gelb collaborates with scholars based in United States, Peru and Poland. Lev D. Gelb's co-authors include Keith E. Gubbins, Małgorzata Śliwińska-Bartkowiak, Ravi Radhakrishnan, Daniel W. Siderius, Niny Z. Rao, Rafael Salazar, Erich A. Müller, Amir Taghavi Nasrabadi, Somendra Nath Chakraborty and Jolanta Tomaszewska‐Gras and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and Physical review. B, Condensed matter.

In The Last Decade

Lev D. Gelb

52 papers receiving 3.4k citations

Hit Papers

Phase separation in confined systems 1999 2026 2008 2017 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev D. Gelb United States 25 1.9k 1.4k 573 538 505 52 3.4k
Małgorzata Śliwińska-Bartkowiak Poland 30 2.5k 1.3× 2.0k 1.4× 473 0.8× 725 1.3× 584 1.2× 82 4.3k
Kunimitsu Morishige Japan 33 2.2k 1.1× 1.2k 0.8× 866 1.5× 628 1.2× 302 0.6× 102 3.4k
Miguel Castro Spain 38 2.1k 1.1× 1.1k 0.7× 722 1.3× 713 1.3× 451 0.9× 175 4.6k
Aleksey Vishnyakov United States 32 1.3k 0.7× 1.5k 1.0× 351 0.6× 421 0.8× 208 0.4× 58 3.3k
Patrick Huber Germany 35 1.7k 0.9× 1.2k 0.8× 209 0.4× 668 1.2× 233 0.5× 180 3.8k
Jeremy C. Palmer United States 32 1.8k 1.0× 986 0.7× 582 1.0× 524 1.0× 393 0.8× 83 3.0k
Mario Santoro Italy 34 1.8k 0.9× 957 0.7× 391 0.7× 819 1.5× 245 0.5× 134 3.8k
G. Zgrablich Argentina 25 1.2k 0.6× 670 0.5× 285 0.5× 424 0.8× 711 1.4× 154 2.3k
D. D. Australia 34 1.8k 0.9× 1.6k 1.2× 945 1.6× 331 0.6× 154 0.3× 170 3.9k
Osamu Yamamuro Japan 34 2.6k 1.4× 594 0.4× 378 0.7× 492 0.9× 232 0.5× 207 4.2k

Countries citing papers authored by Lev D. Gelb

Since Specialization
Citations

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

Fields of papers citing papers by Lev D. Gelb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev D. Gelb. 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 Lev D. Gelb. The network helps show where Lev D. Gelb may publish in the future.

Co-authorship network of co-authors of Lev D. Gelb

This figure shows the co-authorship network connecting the top 25 collaborators of Lev D. Gelb. A scholar is included among the top collaborators of Lev D. Gelb 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 Lev D. Gelb. Lev D. Gelb 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.
Gelb, Lev D., et al.. (2020). High‐resolution peak analysis in TOF SIMS data. Surface and Interface Analysis. 53(1). 53–67. 1 indexed citations
2.
Gelb, Lev D., et al.. (2019). On the permeability of colloidal gels. Physics of Fluids. 31(2). 12 indexed citations
3.
Wilson, Blake A., Amir Taghavi Nasrabadi, Lev D. Gelb, & Steven O. Nielsen. (2017). Computing free energies using nested sampling-based approaches. Molecular Simulation. 44(13-14). 1108–1123. 5 indexed citations
4.
Gelb, Lev D., et al.. (2015). Statistically rigorous analysis of imaging SIMS data in the presence of detector saturation. Surface and Interface Analysis. 47(9). 889–895. 6 indexed citations
5.
Chakraborty, Somendra Nath & Lev D. Gelb. (2012). A Monte Carlo Simulation Study of Methane Clathrate Hydrates Confined in Slit-Shaped Pores. The Journal of Physical Chemistry B. 116(7). 2183–2197. 40 indexed citations
6.
Gelb, Lev D., et al.. (2012). Optimized analysis of imaging time‐of‐flight SIMS data. Surface and Interface Analysis. 45(1). 479–482. 5 indexed citations
7.
Gelb, Lev D. & Somendra Nath Chakraborty. (2011). Boiling point determination using adiabatic Gibbs ensemble Monte Carlo simulations: Application to metals described by embedded-atom potentials. The Journal of Chemical Physics. 135(22). 224113–224113. 8 indexed citations
8.
Barnes, Brian C., Daniel W. Siderius, & Lev D. Gelb. (2009). Structure, Thermodynamics, and Solubility in Tetromino Fluids. Langmuir. 25(12). 6702–6716. 32 indexed citations
9.
Siderius, Daniel W. & Lev D. Gelb. (2009). Thermodynamic and structural properties of finely discretized on-lattice hard-sphere fluids: Virial coefficients, free energies, and direct correlation functions. The Journal of Chemical Physics. 131(8). 84503–84503. 4 indexed citations
10.
11.
Barnes, Brian C. & Lev D. Gelb. (2007). Meta-Optimization of Evolutionary Strategies for Empirical Potential Development:  Application to Aqueous Silicate Systems. Journal of Chemical Theory and Computation. 3(5). 1749–1764. 6 indexed citations
12.
Gelb, Lev D.. (2007). Simulating Silica Aerogels with a Coarse-Grained Flexible Model and Langevin Dynamics. The Journal of Physical Chemistry C. 111(43). 15792–15802. 46 indexed citations
14.
Salazar, Rafael & Lev D. Gelb. (2005). Application of the Bethe-Peierls approximation to a lattice-gas model of adsorption on mesoporous materials. Physical Review E. 71(4). 41502–41502. 24 indexed citations
15.
Gelb, Lev D. & Rafael Salazar. (2005). Adsorption in Controlled-Pore Glasses: Comparison of Molecular Simulations with a Mean-Field Lattice Gas Model. Adsorption. 11(S1). 283–288. 10 indexed citations
16.
Müller, Erich A. & Lev D. Gelb. (2003). Molecular Modeling of Fluid-Phase Equilibria Using an Isotropic Multipolar Potential. Industrial & Engineering Chemistry Research. 42(17). 4123–4131. 26 indexed citations
17.
Gelb, Lev D.. (2003). Monte Carlo simulations using sampling from an approximate potential. The Journal of Chemical Physics. 118(17). 7747–7750. 76 indexed citations
18.
Gelb, Lev D. & Keith E. Gubbins. (1997). Studies of binary liquid mixtures in cylindrical pores: phase separation, wetting and finite-size effects from Monte Carlo simulations. Physica A Statistical Mechanics and its Applications. 244(1-4). 112–123. 28 indexed citations
19.
Gelb, Lev D. & Keith E. Gubbins. (1997). Kinetics of liquid-liquid phase separation of a binary mixture in cylindrical pores. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 55(2). R1290–R1293. 46 indexed citations
20.
Gelb, Lev D.. (1994). Surface melting and layering transitions from a lattice-gas model. Physical review. B, Condensed matter. 50(15). 11146–11150. 6 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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