G. R. Pazuki

482 total citations
38 papers, 433 citations indexed

About

G. R. Pazuki is a scholar working on Biomedical Engineering, Filtration and Separation and Fluid Flow and Transfer Processes. According to data from OpenAlex, G. R. Pazuki has authored 38 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 16 papers in Filtration and Separation and 15 papers in Fluid Flow and Transfer Processes. Recurrent topics in G. R. Pazuki's work include Phase Equilibria and Thermodynamics (20 papers), Chemical and Physical Properties in Aqueous Solutions (16 papers) and Thermodynamic properties of mixtures (15 papers). G. R. Pazuki is often cited by papers focused on Phase Equilibria and Thermodynamics (20 papers), Chemical and Physical Properties in Aqueous Solutions (16 papers) and Thermodynamic properties of mixtures (15 papers). G. R. Pazuki collaborates with scholars based in Iran, South Africa and Saudi Arabia. G. R. Pazuki's co-authors include Mohammad Nikookar, Mohammadreza Omidkhah, Vahid Taghikhani, Manouchehr Vossoughi, Cyrus Ghotbi, Gholamreza Zahedi, S.M. Hosseini, Alireza Fazlali, Hassan Pahlavanzadeh and Amir H. Mohammadi and has published in prestigious journals such as Fuel, Industrial & Engineering Chemistry Research and Journal of Molecular Liquids.

In The Last Decade

G. R. Pazuki

38 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. R. Pazuki Iran 13 192 184 152 122 121 38 433
Tony Moorwood Portugal 5 347 1.8× 189 1.0× 155 1.0× 58 0.5× 107 0.9× 8 503
Vicki G. Niesen United States 12 434 2.3× 181 1.0× 84 0.6× 33 0.3× 134 1.1× 23 609
Loren C. Wilson United States 14 370 1.9× 61 0.3× 70 0.5× 38 0.3× 130 1.1× 22 560
Kurt A. G. Schmidt Canada 12 277 1.4× 42 0.2× 75 0.5× 33 0.3× 59 0.5× 35 451
Zofia Mączyńska Poland 13 340 1.8× 91 0.5× 50 0.3× 71 0.6× 19 0.2× 15 488
T. S. Brown United States 10 372 1.9× 184 1.0× 91 0.6× 17 0.1× 136 1.1× 13 535
Laurent Avaullée France 11 327 1.7× 140 0.8× 198 1.3× 20 0.2× 236 2.0× 13 524
Krystyna Blazej Poland 13 358 1.9× 96 0.5× 52 0.3× 73 0.6× 15 0.1× 17 487
E. Turek United States 11 312 1.6× 82 0.4× 129 0.8× 18 0.1× 217 1.8× 20 515
K.W. Won United States 6 247 1.3× 239 1.3× 85 0.6× 9 0.1× 79 0.7× 10 380

Countries citing papers authored by G. R. Pazuki

Since Specialization
Citations

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

Fields of papers citing papers by G. R. Pazuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. R. Pazuki

This figure shows the co-authorship network connecting the top 25 collaborators of G. R. Pazuki. A scholar is included among the top collaborators of G. R. Pazuki 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 G. R. Pazuki. G. R. Pazuki 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.
2.
Nikookar, Mohammad, et al.. (2012). Modeling of Asphaltene Precipitation in Heavy Oil Reservoirs Using Hydrate-Flory-Huggins Model. Abu Dhabi International Petroleum Conference and Exhibition. 1 indexed citations
3.
Pazuki, G. R., et al.. (2011). Modeling of Osmotic Pressure of Aqueous Poly(Ethylene Glycol) Solutions Using the Artificial Neural Network and Free Volume Flory Huggins Model. Journal of Dispersion Science and Technology. 32(7). 1054–1059. 1 indexed citations
4.
Pazuki, G. R., et al.. (2010). Application of Restrictive Primitive SAFT Coupled with Different Hard-Sphere Equations to Model Mean Ionic Activity Coefficients of Electrolyte Solutions. Journal of Dispersion Science and Technology. 31(4). 536–550. 2 indexed citations
5.
Zahedi, Gholamreza, et al.. (2009). Prediction of asphaltene precipitation in crude oil. Journal of Petroleum Science and Engineering. 68(3-4). 218–222. 59 indexed citations
6.
Nikookar, Mohammad, Mohammadreza Omidkhah, & G. R. Pazuki. (2008). Prediction of Density and Solubility Parameter of Heavy Oils and SARA Fractions Using Cubic Equations of State. Petroleum Science and Technology. 26(16). 1904–1912. 16 indexed citations
7.
Pazuki, G. R.. (2008). A New Correlation for Estimating Saturated Vapor Pressure and Acentric Factor of Pure Hydrocarbons. Petroleum Science and Technology. 26(14). 1684–1693. 2 indexed citations
8.
Pazuki, G. R., Vahid Taghikhani, & Manouchehr Vossoughi. (2008). A Modified Local Composition-Based Model for Correlating the Vapor-Liquid and Liquid-Liquid Phase Equilibria of Aqueous Polymer-Salt Systems. Journal of Solution Chemistry. 37(5). 665–675. 6 indexed citations
9.
Pazuki, G. R., et al.. (2007). Modified Cubic Equation of State for Prediction VLE Phase Behavior of Fluids: Pure and Mixture. Separation Science and Technology. 42(8). 1883–1899. 9 indexed citations
10.
Mousavi, Seyed Mahmoud, et al.. (2007). Surface tension correlation for pure polar fluids by a new molecular model and SRK equation of state. Fluid Phase Equilibria. 255(1). 24–30. 10 indexed citations
11.
Pazuki, G. R., Mohammad Nikookar, & Mohammadreza Omidkhah. (2007). Application of a new cubic equation of state to computation of phase behavior of fluids and asphaltene precipitation in crude oil. Fluid Phase Equilibria. 254(1-2). 42–48. 33 indexed citations
12.
Pazuki, G. R., et al.. (2006). A new model for the activity coefficients of individual ions in aqueous electrolyte solutions. Fluid Phase Equilibria. 242(1). 65–71. 17 indexed citations
13.
Pazuki, G. R., et al.. (2006). A new two-parameter cubic equation of state for predicting phase behavior of pure compounds and mixtures. Fluid Phase Equilibria. 242(1). 19–28. 36 indexed citations
14.
Pazuki, G. R., et al.. (2006). A New Cubic Equation of State for Predicting Phase Behavior of Hydrocarbons. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 61(2). 269–276. 1 indexed citations
15.
Pazuki, G. R. & Mohammad Nikookar. (2005). A modified Flory-Huggins model for prediction of asphaltenes precipitation in crude oil. Fuel. 85(7-8). 1083–1086. 49 indexed citations
16.
Nikookar, Mohammad, et al.. (2005). A New Approach in Modeling Asphaltene Precipitation in Heavy Oil . 1 indexed citations
17.
Pazuki, G. R., et al.. (2005). A new model for predicting the thermodynamic phase behavior of electrolyte in aqueous solutions. Calphad. 29(2). 125–132. 12 indexed citations
18.
Pazuki, G. R., et al.. (2005). A new model for estimation of the critical properties of alkanes. Theoretical Foundations of Chemical Engineering. 39(1). 78–80. 2 indexed citations
19.
Pazuki, G. R.. (2005). Correlation and prediction of osmotic coefficient and water activity of aqueous electrolyte solutions by a two-ionic parameter model. The Journal of Chemical Thermodynamics. 37(7). 667–670. 14 indexed citations
20.
Pazuki, G. R., et al.. (2005). Correlation of the mean ionic activity coefficients of electrolytes in aqueous amino acid and peptide systems. Fluid Phase Equilibria. 231(2). 171–175. 14 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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