Evgeny V. Rebrov

6.5k total citations
210 papers, 5.2k citations indexed

About

Evgeny V. Rebrov is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Evgeny V. Rebrov has authored 210 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Materials Chemistry, 86 papers in Biomedical Engineering and 65 papers in Mechanical Engineering. Recurrent topics in Evgeny V. Rebrov's work include Catalytic Processes in Materials Science (61 papers), Innovative Microfluidic and Catalytic Techniques Innovation (60 papers) and Catalysis and Hydrodesulfurization Studies (35 papers). Evgeny V. Rebrov is often cited by papers focused on Catalytic Processes in Materials Science (61 papers), Innovative Microfluidic and Catalytic Techniques Innovation (60 papers) and Catalysis and Hydrodesulfurization Studies (35 papers). Evgeny V. Rebrov collaborates with scholars based in United Kingdom, Netherlands and Russia. Evgeny V. Rebrov's co-authors include J.C. Schouten, Volker Hessel, M.H.J.M. de Croon, Nikolay Cherkasov, T.A. Nijhuis, Pengzhao Gao, Joost Rooze, Jos T. F. Keurentjes, Jovan Jovanović and Ángel Berenguer‐Murcia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Applied Physics.

In The Last Decade

Evgeny V. Rebrov

195 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny V. Rebrov United Kingdom 40 2.4k 2.4k 1.3k 872 837 210 5.2k
Hirokazu Kobayashi Japan 47 1.8k 0.8× 3.9k 1.7× 1.6k 1.2× 872 1.0× 358 0.4× 185 6.7k
Tiefeng Wang China 45 2.3k 1.0× 3.9k 1.7× 2.3k 1.7× 1.4k 1.6× 475 0.6× 238 7.1k
Ping Li China 36 2.3k 1.0× 928 0.4× 877 0.7× 1.1k 1.3× 1.2k 1.5× 202 4.6k
T.A. Nijhuis Netherlands 47 4.3k 1.8× 2.8k 1.2× 2.2k 1.6× 2.9k 3.3× 449 0.5× 146 7.0k
Ayman M. Karim United States 38 3.4k 1.4× 2.2k 0.9× 2.0k 1.5× 2.3k 2.6× 548 0.7× 80 5.9k
Yi Cheng China 44 2.7k 1.2× 2.1k 0.9× 1.3k 1.0× 1.8k 2.1× 1.1k 1.3× 305 6.6k
Michiel T. Kreutzer Netherlands 44 1.5k 0.6× 3.6k 1.5× 1.3k 1.0× 487 0.6× 1.3k 1.5× 114 5.7k
Guangwen Chen China 48 1.5k 0.6× 5.1k 2.2× 1.9k 1.5× 618 0.7× 1.2k 1.5× 159 6.8k
Roland Dittmeyer Germany 37 2.7k 1.1× 1.1k 0.5× 1.4k 1.1× 1.9k 2.2× 926 1.1× 219 4.8k
You Han China 36 2.4k 1.0× 986 0.4× 558 0.4× 1.1k 1.3× 587 0.7× 142 4.2k

Countries citing papers authored by Evgeny V. Rebrov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny V. Rebrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeny V. Rebrov. 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 Evgeny V. Rebrov. The network helps show where Evgeny V. Rebrov may publish in the future.

Co-authorship network of co-authors of Evgeny V. Rebrov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny V. Rebrov. A scholar is included among the top collaborators of Evgeny V. Rebrov 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 Evgeny V. Rebrov. Evgeny V. Rebrov 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.
Li, Jiayin, Jing Xu, Evgeny V. Rebrov, & Annemie Bogaerts. (2025). Machine learning-based prediction and optimization of plasma-catalytic dry reforming of methane in a dielectric barrier discharge reactor. Chemical Engineering Journal. 507. 159897–159897. 5 indexed citations
2.
Bogaerts, Annemie, Gabriele Centi, Volker Hessel, & Evgeny V. Rebrov. (2025). Perspectives and Emerging Trends in Plasma Catalysis: Facing the Challenge of Chemical Production Electrification. ChemCatChem. 17(7). 1 indexed citations
3.
Lamichhane, Pradeep, et al.. (2024). Sustainable Plasma‐Catalytic Nitrogen Fixation with Pyramid Shaped μ‐Electrode DBD and Titanium Dioxide. ChemistrySelect. 9(24). 7 indexed citations
4.
Long, Nguyen Van Duc, Pradeep Lamichhane, Mohammad Mohsen Sarafraz, et al.. (2024). Catalytic Ammonia Formation in a Microreaction Chamber with Electrically Intensified Arc Plasma. ChemCatChem. 16(13). 8 indexed citations
5.
Li, Sirui, et al.. (2024). Vertical baffles in a fluidized bed reactor: Hydraulic assessment with a numerical and experimental approach. Chemical Engineering Science. 302. 120805–120805. 2 indexed citations
6.
Unciti‐Broceta, Asier & Evgeny V. Rebrov. (2024). Catalysis on the move. Catalysis Science & Technology. 14(3). 512–514. 2 indexed citations
7.
Osorio-Tejada, José Luis, Evgeny V. Rebrov, & Volker Hessel. (2023). Internalisation of environmental costs of decentralised nitrogen fertilisers production. The International Journal of Life Cycle Assessment. 28(11). 1590–1603. 11 indexed citations
8.
Li, Sirui, et al.. (2023). Effect of temperature on the CO2 splitting rate in a DBD microreactor. Reaction Chemistry & Engineering. 8(9). 2223–2233. 19 indexed citations
9.
Cox, Rylan, Konstantinos Salonitis, S. Impey, & Evgeny V. Rebrov. (2023). Characterising flow with continuous aeration in an oscillatory baffle flow reactor using residence time distribution. Reaction Chemistry & Engineering. 8(12). 3104–3116. 2 indexed citations
10.
Wong, Syie Luing, Sabino Armenise, Bemgba Bevan Nyakuma, et al.. (2022). Catalytic pyrolysis of plastics over maghemite-impregnated \nmesocellular foam using induction heating. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Chen, Huihui, et al.. (2020). Fabrication of Magnetic Superstructure NiFe2O4@MOF-74 and Its Derivative for Electrocatalytic Hydrogen Evolution with AC Magnetic Field. ACS Applied Materials & Interfaces. 12(41). 45987–45996. 61 indexed citations
14.
Nikoshvili, Linda Zh., et al.. (2017). Hydrogenation of levulinic acid using Ru-containing catalysts based on hypercrosslinked polystyrene. Green Processing and Synthesis. 6(3). 281–286. 11 indexed citations
15.
Fernández-García, Javier, Evgeny V. Rebrov, M. R. Lees, et al.. (2017). Magnetic zeolites: novel nanoreactors through radiofrequency heating. Chemical Communications. 53(30). 4262–4265. 22 indexed citations
16.
Sulman, Mikhail G., et al.. (2017). D-glucose hydrogenation over ni based hypercrosslinked polysterene. SHILAP Revista de lepidopterología. 61. 613–618. 2 indexed citations
17.
Nikoshvili, Linda Zh., et al.. (2016). Selective Hydrogenation of Levulinic Acid to Gamma- Valerolactone Using Polymer-Based Ru-Containing Catalysts. SHILAP Revista de lepidopterología. 7 indexed citations
18.
Degirmenci, Volkan & Evgeny V. Rebrov. (2016). Design of catalytic micro trickle bed reactors. Physical Sciences Reviews. 1(4). 3 indexed citations
19.
Rebrov, Evgeny V., et al.. (2011). Application of alternative energy forms in catalytic reactor engineering. Green Processing and Synthesis. 1(1). 19–31. 49 indexed citations
20.
Кузнецов, С. А., et al.. (2008). Catalytic Mo2C coatings for the water gas shift reaction: Electrosynthesis in molten salts. Kinetics and Catalysis. 49(4). 594–598. 7 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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