Maxim Bakaev

557 total citations
53 papers, 228 citations indexed

About

Maxim Bakaev is a scholar working on Information Systems, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Maxim Bakaev has authored 53 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 15 papers in Human-Computer Interaction and 10 papers in Sociology and Political Science. Recurrent topics in Maxim Bakaev's work include Color perception and design (6 papers), Web Data Mining and Analysis (5 papers) and Interactive and Immersive Displays (5 papers). Maxim Bakaev is often cited by papers focused on Color perception and design (6 papers), Web Data Mining and Analysis (5 papers) and Interactive and Immersive Displays (5 papers). Maxim Bakaev collaborates with scholars based in Russia, Germany and India. Maxim Bakaev's co-authors include Martin Gaedke, Tatiana Avdeenko, R Elakkiya, V. Subramaniyaswamy, Ketan Kotecha, О. М. Разумникова, Sebastian Heil, Lubna A. Gabralla, Ajith Abraham and Jatinderkumar R. Saini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Lecture notes in computer science.

In The Last Decade

Maxim Bakaev

43 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Bakaev Russia 8 108 64 48 43 40 53 228
Luis Quesada Costa Rica 6 92 0.9× 41 0.6× 30 0.6× 26 0.6× 68 1.7× 31 245
Yoshimi Fukumura Japan 9 133 1.2× 45 0.7× 48 1.0× 21 0.5× 66 1.6× 33 310
Valéria Farinazzo Martins Brazil 10 67 0.6× 72 1.1× 40 0.8× 13 0.3× 18 0.5× 63 259
Katsuko T. Nakahira Japan 9 126 1.2× 51 0.8× 29 0.6× 10 0.2× 45 1.1× 40 327
Rafael Duque Spain 10 53 0.5× 33 0.5× 46 1.0× 15 0.3× 49 1.2× 34 280
Achraf Othman Qatar 10 96 0.9× 44 0.7× 74 1.5× 8 0.2× 80 2.0× 48 322
Mahmood Jasim United States 11 171 1.6× 144 2.3× 104 2.2× 70 1.6× 41 1.0× 30 318
Richard Borovoy United States 4 129 1.2× 95 1.5× 47 1.0× 7 0.2× 21 0.5× 8 283
Maximiliano Paredes Velasco Spain 9 41 0.4× 48 0.8× 112 2.3× 9 0.2× 28 0.7× 48 295
Ah‐Fur Lai Taiwan 7 68 0.6× 131 2.0× 103 2.1× 33 0.8× 30 0.8× 36 380

Countries citing papers authored by Maxim Bakaev

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Bakaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Bakaev

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Bakaev. A scholar is included among the top collaborators of Maxim Bakaev 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 Maxim Bakaev. Maxim Bakaev 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.
Bakaev, Maxim, et al.. (2025). Who Will Author the Synthetic Texts? Evoking Multiple Personas from Large Language Models to Represent Users’ Associative Thesauri. Big Data and Cognitive Computing. 9(2). 46–46. 2 indexed citations
2.
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Разумникова, О. М., et al.. (2023). Nature in the Heart and Mind of the Beholder: Psycho-Emotional and EEG Differences in Perception of Virtual Nature Due to Gender. Vision. 7(2). 30–30. 8 indexed citations
4.
Gerasimov, A., et al.. (2023). Automating Stimulation Frequency Selection for SSVEP-Based Brain-Computer Interfaces. Algorithms. 16(11). 502–502. 1 indexed citations
5.
Bakaev, Maxim, et al.. (2023). Quality of Labeled Data in Machine Learning: Common Sense and the Controversial Effect for User Behavior Models. SHILAP Revista de lepidopterología. 3–3. 3 indexed citations
6.
Bakaev, Maxim, et al.. (2023). Feasibility of Spine Segmentation in ML-Based Recognition of Vertebrae in X-Ray Images. 270–274. 1 indexed citations
7.
Разумникова, О. М. & Maxim Bakaev. (2022). Age-Related Changes and Reorganization of Creativity and Intelligence Indices in Schoolchildren and University Students. Journal of Intelligence. 10(3). 52–52. 3 indexed citations
8.
Elakkiya, R, et al.. (2021). Recognition of Russian and Indian Sign Languages Based on Machine Learning. 53–74. 4 indexed citations
9.
Bakaev, Maxim, et al.. (2021). Intelligent analysis of digital economy competencies in agriculture labor. IOP Conference Series Materials Science and Engineering. 1019(1). 12046–12046. 3 indexed citations
10.
Bakaev, Maxim & О. М. Разумникова. (2021). What Makes a UI Simple? Difficulty and Complexity in Tasks Engaging Visual-Spatial Working Memory. Future Internet. 13(1). 21–21. 5 indexed citations
11.
Bakaev, Maxim, et al.. (2020). Current and expected parameters of building digital competencies among the working population. SHILAP Revista de lepidopterología. 11(1). 113–136. 2 indexed citations
12.
Elakkiya, R, et al.. (2020). Recognition of Russian and Indian sign languages used by the deaf people. Science Bulletin of the Novosibirsk State Technical University. 57–76. 3 indexed citations
13.
Разумникова, О. М., et al.. (2020). Do I Need IT? Russian Pensioners' Engagement with Information and Communication Technologies.. 199–212. 1 indexed citations
14.
Bakaev, Maxim, et al.. (2019). Auto-Extraction and Integration ofMetrics forWeb User Interfaces. Journal of Web Engineering. 17(6). 561–590. 12 indexed citations
15.
Bakaev, Maxim, et al.. (2017). Goal-Oriented Management in Innovations' Promotion with a Website. 2 indexed citations
16.
Bakaev, Maxim & Tatiana Avdeenko. (2015). A quantitative measure for information transfer in human-machine control systems. v. 1–4. 7 indexed citations
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Bakaev, Maxim & Tatiana Avdeenko. (2013). Indexing and Comparison of Multi-Dimensional Entities in a Recommender System based on Ontological Approach. Computación y Sistemas. 17(1). 5–13. 7 indexed citations
20.
Bakaev, Maxim. (2008). Fitts' law for older adults: considering a factor of age. Human Factors in Computing Systems. 260–263. 10 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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