A. V. Chernenko

1.1k total citations
72 papers, 793 citations indexed

About

A. V. Chernenko is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, A. V. Chernenko has authored 72 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Materials Chemistry, 27 papers in Atomic and Molecular Physics, and Optics and 20 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in A. V. Chernenko's work include Shape Memory Alloy Transformations (29 papers), Quantum and electron transport phenomena (17 papers) and Semiconductor Quantum Structures and Devices (15 papers). A. V. Chernenko is often cited by papers focused on Shape Memory Alloy Transformations (29 papers), Quantum and electron transport phenomena (17 papers) and Semiconductor Quantum Structures and Devices (15 papers). A. V. Chernenko collaborates with scholars based in Russia, Spain and Germany. A. V. Chernenko's co-authors include A. Ghotbi Varzaneh, V. D. Kulakovskiĭ, B. Aslibeiki, J.M. Barandiarán, Daniel Salazar, A. S. Brichkin, Elena Villa, A. Forchel, P. Lázpita and А. А. Максимов and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

A. V. Chernenko

65 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. V. Chernenko Russia	16	590	310	286	151	91	72	793
Nirupam Banerjee India	11	481 0.8×	105 0.3×	138 0.5×	149 1.0×	115 1.3×	20	581
Joaquín de la Torre Medina Belgium	18	434 0.7×	435 1.4×	276 1.0×	223 1.5×	31 0.3×	43	729
Quansheng Guo Japan	17	970 1.6×	111 0.4×	227 0.8×	423 2.8×	89 1.0×	34	1.1k
Dong Jik Kim Germany	6	452 0.8×	90 0.3×	214 0.7×	260 1.7×	50 0.5×	7	582
Guangyu Jiang China	13	742 1.3×	96 0.3×	236 0.8×	268 1.8×	66 0.7×	26	919
Takafumi Ishibe Japan	16	656 1.1×	205 0.7×	118 0.4×	336 2.2×	42 0.5×	58	815
Jong‐Gul Yoon South Korea	7	497 0.8×	80 0.3×	294 1.0×	110 0.7×	58 0.6×	11	589
Yangkun He China	16	401 0.7×	329 1.1×	578 2.0×	156 1.0×	301 3.3×	43	862
Mengjian Zhu China	17	607 1.0×	125 0.4×	93 0.3×	352 2.3×	41 0.5×	45	788
Joel T. Abrahamson United States	12	502 0.9×	45 0.1×	163 0.6×	206 1.4×	68 0.7×	22	687

Countries citing papers authored by A. V. Chernenko

Since Specialization

Citations

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

Fields of papers citing papers by A. V. Chernenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Chernenko

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Chernenko. A scholar is included among the top collaborators of A. V. Chernenko 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 A. V. Chernenko. A. V. Chernenko 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

Kowalska, Marta, et al.. (2025). Transformation behavior and magnetic properties of Ni-Mn-Ga melt-spun ribbons tuned by tandem of Co and Cu dopants. Journal of Alloys and Compounds. 1046. 184784–184784.

Lázpita, P., et al.. (2024). Impact of magnetic, atomic and microstructural ordering on the magnetocaloric performance of powdered NiCoMnSn metamagnetic shape memory ribbons. Materials & Design. 245. 113279–113279. 2 indexed citations

Brichkin, A. S., et al.. (2024). Excited States of Excitons in MoSe2 and WSe2 Monolayers. Journal of Experimental and Theoretical Physics Letters. 120(4). 270–276. 1 indexed citations

Chernenko, A. V.. (2024). State policy and organization of the quality management system for higher education in Ukraine. Pedagogy of the formation of a creative person in higher and secondary schools. 220–230.

Brichkin, A. S., et al.. (2024). Vozbuzhdennye sostoyaniya eksitonov v monosloyakh MoSe2 i WSe2. Письма в Журнал экспериментальной и теоретической физики. 120(3-4). 279–285.

Chernenko, A. V., et al.. (2023). Effect of the Quality of Interfaces on the Photoluminescence of Encapsulated MoSe2 Monolayers. Bulletin of the Russian Academy of Sciences Physics. 87(2). 161–164. 1 indexed citations

Chernenko, A. V., et al.. (2023). Effect of interface quality on photoluminescence of encapsulated MoSe<sub>2</sub> monolayers. Известия Российской академии наук Серия физическая. 87(2). 189–193.

Brichkin, A. S., et al.. (2023). Influence of the Encapsulating Layer Thickness on the Quality of MoSe2-Based Heterostructures. Journal of Experimental and Theoretical Physics. 136(6). 760–764. 4 indexed citations

Аrtyukhov, Аrtem, et al.. (2022). Production of ammonium nitrate with nanoporous structure: the influence of technological parameters on quality of granules. The International Journal of Advanced Manufacturing Technology. 121(3-4). 1697–1706. 1 indexed citations

10.

Chernenko, A. V., et al.. (2022). Generalized model of nonlinear elastic foundation and longitudinal waves in cylindrical shells. Izvestiya of Saratov University Mathematics Mechanics Informatics. 22(2). 196–204. 1 indexed citations

11.

Stevens, Erica, Daniel Salazar, Amir Mostafaei, et al.. (2020). Mastering a 1.2 K hysteresis for martensitic para-ferromagnetic partial transformation in Ni-Mn(Cu)-Ga magnetocaloric material via binder jet 3D printing. Additive manufacturing. 37. 101560–101560. 26 indexed citations

12.

Chernenko, A. V., et al.. (2020). The Effect of Particle Shape on Magnetic Field-Induced Rubber-Like Behavior of Ni-Mn-Ga/Silicone Composites. IOP Conference Series Materials Science and Engineering. 886(1). 12055–12055. 1 indexed citations

13.

Raygan, Shahram, et al.. (2019). Effect of adding Ti and rare earth elements on properties of Cu-14Al-4Ni shape memory alloy. Materials Research Express. 6(11). 116512–116512. 4 indexed citations

14.

Chernenko, A. V., et al.. (2018). Tools for planning research and development projects. Russian Journal of Industrial Economics. 11(1). 29–36.

15.

Chernenko, A. V. & A. S. Brichkin. (2014). Localized and bound excitons in type-II ZnMnSe/ZnSSe quantum wells. Journal of Physics Condensed Matter. 26(42). 425301–425301. 2 indexed citations

16.

Fischer, Julian, Sebastian Brodbeck, A. V. Chernenko, et al.. (2014). Anomalies of a Nonequilibrium Spinor Polariton Condensate in a Magnetic Field. Physical Review Letters. 112(9). 93902–93902. 33 indexed citations

17.

Chernenko, A. V. & J.M. Barandiarán. (2009). Ferromagnetic Shape Memory Alloys II. Trans Tech Publications Ltd. eBooks. 9 indexed citations

18.

Grigorieva, Elvira V., et al.. (2007). Proteoglycans and human breast cancer. Bulletin of Experimental Biology and Medicine. 144(3). 335–337. 3 indexed citations

19.

Bacher, G., А. А. Максимов, H. Schömig, et al.. (2002). Monitoring Statistical Magnetic Fluctuations on the Nanometer Scale. Physical Review Letters. 89(12). 127201–127201. 66 indexed citations

20.

Chernenko, A. V., et al.. (1998). Magnetoluminescence of Ge/Ge1−xSix heterostructures. Journal of Experimental and Theoretical Physics. 87(2). 337–341. 1 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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