Vladimir Soloviev

2.1k total citations
61 papers, 975 citations indexed

About

Vladimir Soloviev is a scholar working on Information Systems, Economics and Econometrics and Education. According to data from OpenAlex, Vladimir Soloviev has authored 61 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 15 papers in Economics and Econometrics and 11 papers in Education. Recurrent topics in Vladimir Soloviev's work include Innovative Educational Technologies (17 papers), Complex Systems and Time Series Analysis (15 papers) and Educational Innovations and Challenges (7 papers). Vladimir Soloviev is often cited by papers focused on Innovative Educational Technologies (17 papers), Complex Systems and Time Series Analysis (15 papers) and Educational Innovations and Challenges (7 papers). Vladimir Soloviev collaborates with scholars based in Ukraine, Israel and United States. Vladimir Soloviev's co-authors include Dieter Fenske, Uri Banin, Andreas Eichhöfer, Сергій Олексійович Семеріков, Tetiana А. Vakaliuk, Arnold Kiv, Світлана Вікторівна Шокалюк, Vladyslav Ye. Velychko, Iryna S. Mintii and Olga V. Bondarenko and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and International Journal of Hydrogen Energy.

In The Last Decade

Vladimir Soloviev

55 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Soloviev Ukraine 13 515 337 306 162 149 61 975
Yuanyuan Jin China 21 688 1.3× 169 0.5× 103 0.3× 9 0.1× 120 0.8× 97 1.3k
Richard Silberglitt United States 18 204 0.4× 107 0.3× 44 0.1× 11 0.1× 179 1.2× 78 1.0k
Yuxian Liu China 17 388 0.8× 142 0.4× 71 0.2× 6 0.0× 30 0.2× 66 969
Y. Ramakrishna India 13 280 0.5× 120 0.4× 36 0.1× 7 0.0× 194 1.3× 46 649
Toru Sakaguchi Japan 20 580 1.1× 216 0.6× 63 0.2× 4 0.0× 451 3.0× 53 1.3k
John Kolb United States 17 503 1.0× 77 0.2× 154 0.5× 22 0.1× 65 0.4× 36 1.5k
Aleksandar Maksimović Croatia 14 110 0.2× 56 0.2× 12 0.0× 26 0.2× 41 0.3× 59 568
Manuel Lorenzo Delgado Spain 10 165 0.3× 264 0.8× 47 0.2× 135 0.8× 66 0.4× 65 530
Božidar Radenković Serbia 13 110 0.2× 73 0.2× 91 0.3× 39 0.2× 15 0.1× 65 460

Countries citing papers authored by Vladimir Soloviev

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Soloviev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Soloviev

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Soloviev. A scholar is included among the top collaborators of Vladimir Soloviev 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 Vladimir Soloviev. Vladimir Soloviev 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.
Fink, D., et al.. (2023). SIMULATION OF TRACK STRUCTURES AS THE BASIS OF BIOSENSORS. 66–72. 1 indexed citations
2.
Soloviev, Vladimir, et al.. (2022). Technology of application of 3D models of electrical engineering in the performing laboratory work. SHILAP Revista de lepidopterología. 9. 323–335. 7 indexed citations
3.
Kiv, Arnold, et al.. (2022). Complex systems and physics education. SHILAP Revista de lepidopterología. 9. 56–80. 3 indexed citations
4.
Velychko, Vladyslav Ye., et al.. (2022). Creation of open educational resources during educational practice by means of cloud technologies. SHILAP Revista de lepidopterología. 9. 278–289. 2 indexed citations
5.
Семеріков, Сергій Олексійович, Tetiana А. Vakaliuk, Iryna S. Mintii, et al.. (2022). Design methodology for immersive educational resources. SHILAP Revista de lepidopterología. 6. 176–199. 5 indexed citations
6.
Gholipour, Behnam, Ziba Karimi, Sadegh Rostamnia, et al.. (2022). Mesoporous hybrid organosilica for stabilizing Pd nanoparticles and aerobic alcohol oxidation through Pd hydride (Pd–H2) species. International Journal of Hydrogen Energy. 48(17). 6488–6498. 19 indexed citations
7.
Семеріков, Сергій Олексійович, et al.. (2022). Using spreadsheets as learning tools for neural network simulation. SHILAP Revista de lepidopterología. 10(3). 42–68. 3 indexed citations
8.
Kiv, Arnold, Сергій Олексійович Семеріков, & Vladimir Soloviev. (2021). XII International Conference on Mathematics, Science and Technology Education: conference report. SHILAP Revista de lepidopterología. 2021(2). 140–256. 1 indexed citations
9.
Семеріков, Сергій Олексійович, Tetiana А. Vakaliuk, Iryna S. Mintii, et al.. (2021). Development of the computer vision system based on machine learning for educational purposes. SHILAP Revista de lepidopterología. 5. 5 indexed citations
10.
Velychko, Vladyslav Ye., et al.. (2021). The support of the process of training pre-service mathematics teachers by means of cloud services. SHILAP Revista de lepidopterología. 8. 318–332. 9 indexed citations
11.
Soloviev, Vladimir, et al.. (2020). QUANTUM ECONOPHYSICAL PRECURSORS OF CRYPTOCURRENCY CRASHES. 3–16. 2 indexed citations
12.
Vakaliuk, Tetiana А., et al.. (2020). Model of using cloud-based environment in training databases of future IT specialists. SHILAP Revista de lepidopterología. 7. 281–292. 19 indexed citations
13.
Vakaliuk, Tetiana А., et al.. (2020). The state of ICT implementation in institutions of general secondary education: a case of Ukraine. SHILAP Revista de lepidopterología. 7. 119–133. 7 indexed citations
14.
Velychko, Vladyslav Ye., et al.. (2019). Informatization of education as a pledge of the existence and development of a modern higher education. SHILAP Revista de lepidopterología. 6. 20–32. 45 indexed citations
15.
Kiv, Arnold, Vladimir Soloviev, & Сергій Олексійович Семеріков. (2019). CTE 2018 – How cloud technologies continues to transform education. SHILAP Revista de lepidopterología. 6. 1–19. 24 indexed citations
16.
Soloviev, Vladimir, et al.. (2019). Educational digital games: models and implementation. SHILAP Revista de lepidopterología. 1. 5–26. 18 indexed citations
17.
Soloviev, Vladimir, et al.. (2019). Educational digital games: models and implementation. SHILAP Revista de lepidopterología. 6. 74–89. 27 indexed citations
18.
Mintii, Iryna S., et al.. (2019). Import test questions into Moodle LMS. SHILAP Revista de lepidopterología. 6. 529–540. 30 indexed citations
19.
Mintii, Iryna S., et al.. (2019). Import test questions into Moodle LMS. SHILAP Revista de lepidopterología. 1. 111–124. 9 indexed citations
20.
Soloviev, Vladimir, et al.. (2016). Graphodynamical research methods for complexity of modern stock markets. 152–179. 3 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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