I. V. Markov
Impact in
- Materials Chemistry top 5%
- Crystallization and Solubility Studies
- ZnO doping and properties
- Quantum Dots Synthesis And Properties
- Atmospheric Science top 10%
- nanoparticles nucleation surface interactions
Papers in
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- Thermodynamic properties of mixtures 2
- Co-authors
- Martin M. KimaniЛ. А. БулавінShekhar GuhaRita D. PetersonShivashankar VangalaMichael SnureJonathan E. SlagleTrenton R. Ensley
In The Last Decade
I. V. Markov
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Materials Chemistry 775
- Atmospheric Science 234
- Condensed Matter Physics 120
- Electronic, Optical and Magnetic Materials 155
- Atomic and Molecular Physics, and Optics 248
Countries citing papers authored by I. V. Markov
This map shows the geographic impact of I. V. Markov'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 I. V. Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. V. Markov more than expected).
Fields of papers citing papers by I. V. Markov
This network shows the impact of papers produced by I. V. Markov. 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 I. V. Markov. The network helps show where I. V. Markov may publish in the future.
Co-authors
The 10 scholars most cited alongside I. V. Markov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 0 | |
| 7 | 2018 | 3 | |
| 8 | 2016 | 60 | |
| 9 | 2016 | 17 | |
| 10 | 2012 | 1 | |
| 11 | 2006 | 1 | |
| 12 | Band and point statistical estimation of channelforming polypeptides potential | 2005 | 1 |
| 13 | Crystal Growth for Beginners Hit paper breakdown → | 2003 | 509 |
| 14 | 2003 | 409 | |
| 15 | 1995 | 312 |
About I. V. Markov
I. V. Markov is a scholar working on Fluid Flow and Transfer Processes, Statistics, Probability and Uncertainty, Spectroscopy, Physical and Theoretical Chemistry and Biomedical Engineering, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (4 papers), Thermodynamic properties of mixtures (2 papers), Diffusion Coefficients in Liquids (2 papers), Advanced Fiber Laser Technologies (1 paper), Machine Learning in Bioinformatics (1 paper), thermodynamics and calorimetric analyses (1 paper), Laser-induced spectroscopy and plasma (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Materials Chemistry (775 citations), Atmospheric Science (234 citations), Condensed Matter Physics (120 citations), Electronic, Optical and Magnetic Materials (155 citations) and Atomic and Molecular Physics, and Optics (248 citations). I. V. Markov has collaborated with scholars based in Ukraine, Bulgaria and Russia. Frequent co-authors include Martin M. Kimani, Л. А. Булавін, Shekhar Guha, Rita D. Peterson, Shivashankar Vangala, Michael Snure, Jonathan E. Slagle, Trenton R. Ensley, V. A. Tverdislov and В. А. Марков. Their work appears in journals such as Journal of Molecular Liquids, Molecular Simulation, Optical Materials Express, Fluid Phase Equilibria and Journal of Applied Mechanics and Technical Physics.
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.