Andrei F. Kazakov

7.0k total citations · 4 hit papers
81 papers, 5.6k citations indexed

About

Andrei F. Kazakov is a scholar working on Fluid Flow and Transfer Processes, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Andrei F. Kazakov has authored 81 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Fluid Flow and Transfer Processes, 33 papers in Organic Chemistry and 30 papers in Biomedical Engineering. Recurrent topics in Andrei F. Kazakov's work include Chemical Thermodynamics and Molecular Structure (31 papers), Advanced Combustion Engine Technologies (30 papers) and Phase Equilibria and Thermodynamics (26 papers). Andrei F. Kazakov is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (31 papers), Advanced Combustion Engine Technologies (30 papers) and Phase Equilibria and Thermodynamics (26 papers). Andrei F. Kazakov collaborates with scholars based in United States, South Korea and Japan. Andrei F. Kazakov's co-authors include Frederick L. Dryer, Zhenwei Zhao, Juan Li, Marcos Chaos, Michael Frenklach, Mark O. McLinden, Piotr A. Domanski, J. Steven Brown, James J. Scire and Juan Li and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and The Journal of Physical Chemistry.

In The Last Decade

Andrei F. Kazakov

81 papers receiving 5.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An updated comprehensive kinetic model of hydrogen combustion

2004 953 citations Juan Li, Zhenwei Zhao et al. International Journal of Chemical Kinetics profile →
A comprehensive kinetic mechanism for CO, CH₂O, and CH₃OH combustion

2007 710 citations Zhenwei Zhao, Andrei F. Kazakov et al. International Journal of Chemical Kinetics profile →
Thermal decomposition reaction and a comprehensive kinetic model of dimethyl ether

2007 412 citations Zhenwei Zhao, Andrei F. Kazakov et al. International Journal of Chemical Kinetics profile →
Limited options for low-global-warming-potential refrigerants

2017 390 citations Mark O. McLinden, J. Steven Brown et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrei F. Kazakov United States	31	3.5k	3.0k	1.5k	1.3k	1.0k	81	5.6k
Alberto Cuoci Italy	46	5.0k 1.4×	5.1k 1.7×	2.8k 1.9×	1.2k 0.9×	1.5k 1.5×	173	8.2k
Pierre‐Alexandre Glaude France	56	5.6k 1.6×	3.5k 1.2×	2.9k 1.9×	1.2k 0.9×	2.5k 2.5×	169	7.9k
K. Seshadri United States	39	4.4k 1.3×	4.6k 1.5×	1.0k 0.7×	1.9k 1.4×	814 0.8×	142	6.2k
Yuyang Li China	48	5.1k 1.5×	3.8k 1.3×	1.8k 1.2×	984 0.8×	2.5k 2.5×	230	7.4k
Wayne K. Metcalfe Ireland	32	4.8k 1.4×	3.8k 1.2×	1.4k 0.9×	1.8k 1.4×	1.3k 1.3×	46	5.7k
Richard A. Yetter United States	48	2.0k 0.6×	2.4k 0.8×	955 0.6×	4.1k 3.1×	3.4k 3.3×	189	8.2k
Kenneth Brezinsky United States	39	3.6k 1.0×	2.9k 1.0×	1.1k 0.7×	1.0k 0.8×	1.1k 1.1×	128	5.0k
R.P. Lindstedt United Kingdom	38	3.4k 1.0×	3.9k 1.3×	874 0.6×	1.0k 0.8×	779 0.8×	110	5.3k
Aamir Farooq Saudi Arabia	43	4.5k 1.3×	3.3k 1.1×	1.7k 1.1×	1.2k 0.9×	1.6k 1.6×	294	7.5k
Craig T. Bowman United States	38	5.8k 1.7×	4.7k 1.6×	1.2k 0.8×	1.9k 1.4×	2.3k 2.3×	112	9.1k

Countries citing papers authored by Andrei F. Kazakov

Since Specialization

Citations

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

Fields of papers citing papers by Andrei F. Kazakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrei F. Kazakov. 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 Andrei F. Kazakov. The network helps show where Andrei F. Kazakov may publish in the future.

Co-authorship network of co-authors of Andrei F. Kazakov

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

All Works

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20 of 20 papers shown

Bilodeau, Camille, et al.. (2023). Machine learning for predicting the viscosity of binary liquid mixtures. Chemical Engineering Journal. 464. 142454–142454. 34 indexed citations

Riccardi, Demian, Zachary Trautt, Ala Bazyleva, et al.. (2022). Towards improved FAIRness of the ThermoML Archive. Journal of Computational Chemistry. 43(12). 879–887. 8 indexed citations

Chirico, Robert D., Eugene Paulechka, Ala Bazyleva, & Andrei F. Kazakov. (2018). Thermodynamic properties of 2–methylindole: Experimental and computational results for gas-phase entropy and enthalpy of formation. The Journal of Chemical Thermodynamics. 125. 257–270. 9 indexed citations

Messerly, Richard A., Michael R. Shirts, & Andrei F. Kazakov. (2018). Uncertainty quantification confirms unreliable extrapolation toward high pressures for united-atom Mie λ-6 force field. The Journal of Chemical Physics. 149(11). 114109–114109. 7 indexed citations

Domanski, Piotr A., Riccardo Brignoli, J. Steven Brown, Andrei F. Kazakov, & Mark O. McLinden. (2017). Low-GWP refrigerants for medium and high-pressure applications. International Journal of Refrigeration. 84. 198–209. 86 indexed citations

McLinden, Mark O., J. Steven Brown, Riccardo Brignoli, Andrei F. Kazakov, & Piotr A. Domanski. (2017). Limited options for low-global-warming-potential refrigerants. Nature Communications. 8(1). 14476–14476. 390 indexed citations breakdown →

Chirico, Robert D., W.V. Steele, & Andrei F. Kazakov. (2015). Thermodynamic properties of 1-naphthol: Mutual validation of experimental and computational results. The Journal of Chemical Thermodynamics. 86. 106–115. 18 indexed citations

Diky, Vladimir, Chris D. Muzny, Ala Bazyleva, et al.. (2014). ThermoData Engine (TDE) Version 10 (Pure Compounds, Binary Mixtures, Ternary Mixtures, and Chemical Reactions): NIST Standard Reference Database 103b | NIST. 9 indexed citations

Chirico, Robert D., W.V. Steele, & Andrei F. Kazakov. (2014). Thermodynamic properties of 1-phenylnaphthalene and 2-phenylnaphthalene. The Journal of Chemical Thermodynamics. 73. 241–254. 18 indexed citations

10.

Зарипов, З. И., Ilmutdin M. Abdulagatov, Marcia L. Huber, et al.. (2013). Experimental study of the thermal conductivity of ammonia + water refrigerant mixtures at temperatures from 278 K to 356 K and at pressures up to 20 MPa. International Journal of Refrigeration. 36(4). 1347–1368. 26 indexed citations

11.

McLinden, Mark O., Piotr A. Domanski, & Andrei F. Kazakov. (2012). Possibilities, limits and tradeoffs for refrigerants in the vapor compression cycle.. 5 indexed citations

12.

Diky, Vladimir, Robert D. Chirico, Andrei F. Kazakov, Chris D. Muzny, & Michael Frenkel. (2009). ThermoData Engine (TDE): Software Implementation of the Dynamic Data Evaluation Concept. 3. Binary Mixtures. Journal of Chemical Information and Modeling. 49(2). 503–517. 45 indexed citations

13.

Kazakov, Andrei F., Chris D. Muzny, Robert D. Chirico, Vladimir Diky, & Michael Frenkel. (2008). Web Thermo Tables - an On-Line Version of the TRC Thermodynamic Tables. Journal of Research of the National Institute of Standards and Technology. 113(4). 209–209. 8 indexed citations

14.

Kazakov, Andrei F., et al.. (2007). NIST/TRC Web Thermo Tables - Lite Edition NIST Standard Reference Subscription Database 2. 1 indexed citations

15.

Yozgatlıgil, Ahmet, Seul‐Hyun Park, Mun Young Choi, Andrei F. Kazakov, & Frederick L. Dryer. (2004). BURNING AND SOOTING BEHAVIOR OF ETHANOL DROPLET COMBUSTION UNDER MICROGRAVITY CONDITIONS. Combustion Science and Technology. 176(11). 1985–1999. 21 indexed citations

16.

Li, Juan, Zhenwei Zhao, Andrei F. Kazakov, & Frederick L. Dryer. (2004). An updated comprehensive kinetic model of hydrogen combustion. International Journal of Chemical Kinetics. 36(10). 566–575. 953 indexed citations breakdown →

17.

Zhao, Zhenwei, et al.. (2003). Burning Velocities of Real Gasoline Fuel at 353 K and 500 K. SAE technical papers on CD-ROM/SAE technical paper series. 1. 60 indexed citations

18.

Yozgatlıgil, Ahmet, Mun Young Choi, Andrei F. Kazakov, et al.. (2003). Ethanol Droplet Combustion At Elevated Pressure and Enhanced Oxygen Concentrations. 41st Aerospace Sciences Meeting and Exhibit. 3 indexed citations

19.

Kazakov, Andrei F., et al.. (2002). NIST/TRC Web Thermo Tables - Professional Edition NIST Standard Reference Subscription Database 3 | NIST. 2 indexed citations

20.

Kazakov, Andrei F. & Michael Frenklach. (1998). Dynamic Modeling of Soot Particle Coagulation and Aggregation: Implementation With the Method of Moments and Application to High-Pressure Laminar Premixed Flames. Combustion and Flame. 114(3-4). 484–501. 234 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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