Andrei Velichko

2.0k total citations
99 papers, 1.4k citations indexed

About

Andrei Velichko is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Atmospheric Science. According to data from OpenAlex, Andrei Velichko has authored 99 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 36 papers in Polymers and Plastics and 15 papers in Atmospheric Science. Recurrent topics in Andrei Velichko's work include Transition Metal Oxide Nanomaterials (36 papers), Advanced Memory and Neural Computing (34 papers) and Gas Sensing Nanomaterials and Sensors (15 papers). Andrei Velichko is often cited by papers focused on Transition Metal Oxide Nanomaterials (36 papers), Advanced Memory and Neural Computing (34 papers) and Gas Sensing Nanomaterials and Sensors (15 papers). Andrei Velichko collaborates with scholars based in Russia, Sweden and Türkiye. Andrei Velichko's co-authors include A. L. Pergament, Г. Б. Стефанович, Maksim Belyaev, Mehmet Tahir Huyut, V.P. Nechaev, Jef Vandenberghe, Aldar P. Gorbunov, А. М. Гришин, Tingjun Zhang and Hugh M. French and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Andrei Velichko

93 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrei Velichko Russia 22 521 480 472 187 158 99 1.4k
Zhenkun Wu China 20 514 1.0× 454 0.9× 441 0.9× 453 2.4× 28 0.2× 104 2.3k
Éric Robin France 26 378 0.7× 123 0.3× 599 1.3× 363 1.9× 92 0.6× 126 2.1k
Xiaohan Liu China 30 406 0.8× 40 0.1× 392 0.8× 368 2.0× 61 0.4× 111 2.7k
Makoto Okada Japan 22 260 0.5× 16 0.0× 850 1.8× 218 1.2× 88 0.6× 217 2.0k
Ling Tang China 23 912 1.8× 75 0.2× 279 0.6× 1.9k 9.9× 14 0.1× 117 2.9k
Andrea Irace Italy 26 2.4k 4.5× 28 0.1× 218 0.5× 204 1.1× 32 0.2× 233 3.1k
Neil M. Ribe France 40 217 0.4× 37 0.1× 280 0.6× 167 0.9× 116 0.7× 96 4.8k
Kai Wei China 22 403 0.8× 15 0.0× 287 0.6× 120 0.6× 32 0.2× 146 1.7k
Takashi Okamoto Japan 17 222 0.4× 41 0.1× 139 0.3× 169 0.9× 139 0.9× 113 1.2k

Countries citing papers authored by Andrei Velichko

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Velichko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Velichko

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Velichko. A scholar is included among the top collaborators of Andrei Velichko 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 Velichko. Andrei Velichko 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.
Huyut, Mehmet Tahir, Andrei Velichko, Maksim Belyaev, et al.. (2025). Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms. Scientific Reports. 15(1). 25262–25262.
2.
Pham, Viet–Thanh, Jesús M. Muñoz‐Pacheco, Andrei Velichko, Salah Boulaaras, & Shaher Momani. (2024). A compact structure for triple-memristor maps with a hyperplane of fixed points. Integration. 101. 102334–102334. 1 indexed citations
3.
Conejero, J. Alberto, et al.. (2024). Exploring the Entropy-Based Classification of Time Series Using Visibility Graphs from Chaotic Maps. Mathematics. 12(7). 938–938. 5 indexed citations
4.
Huyut, Mehmet Tahir, et al.. (2024). LogNNet Neural Network Application for Diabetes Mellitus Diagnosis. SHILAP Revista de lepidopterología. 105. 2003–2003.
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Pham, Viet–Thanh, Andrei Velichko, Van Van Huynh, et al.. (2023). Analysis of memristive maps with asymmetry. Integration. 94. 102110–102110. 8 indexed citations
7.
Huyut, Mehmet Tahir & Andrei Velichko. (2023). LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19. MethodsX. 10. 102194–102194. 7 indexed citations
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Velichko, Andrei, et al.. (2023). Novel techniques for improving NNetEn entropy calculation for short and noisy time series. Nonlinear Dynamics. 111(10). 9305–9326. 6 indexed citations
11.
Belyaev, Maksim, M. Murugappan, Andrei Velichko, & Dmitry Korzun. (2023). Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson’s Disease. Sensors. 23(20). 8609–8609. 16 indexed citations
12.
Huyut, Mehmet Tahir, Andrei Velichko, & Maksim Belyaev. (2022). Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers. Applied Sciences. 12(23). 12180–12180. 19 indexed citations
13.
Huyut, Mehmet Tahir & Andrei Velichko. (2022). Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors. 22(13). 4820–4820. 29 indexed citations
14.
Velichko, Andrei, et al.. (2022). Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. Sensors. 22(20). 7886–7886. 32 indexed citations
15.
Belyaev, Maksim, et al.. (2014). The Field Effect and Mott Transistor Based on Vanadium Dioxide. 1(2). 26–30. 12 indexed citations
16.
Velichko, Andrei, T. D. Morozova, О. К. Борисова, et al.. (2012). Development of the steppe zone in southern Russia based on the reconstruction from the loess-soil formation in the Don-Azov Region. Doklady Earth Sciences. 445(2). 999–1002. 23 indexed citations
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Velichko, Andrei, N. Catto, А. С. Тесаков, et al.. (2009). Structural specificity of pleistocene loess and soil formation of the southern Russian plain according to materials of Eastern Priazovie. Doklady Earth Sciences. 429(1). 1364–1368. 15 indexed citations
19.
Velichko, Andrei, et al.. (2007). Metal-semiconductor transition in nonstoichiometric vanadium dioxide films. Inorganic Materials. 43(5). 505–511. 35 indexed citations
20.
Bowen, D. Q., et al.. (1986). Correlation of Quaternary glaciations in the Northern Hemisphere. Quaternary Science Reviews. 5. IN21–510. 64 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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