Maxim Bakaev
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Innovative Human-Technology Interaction
- Usability and User Interface Design
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- Hearing Impairment and Communication
Papers in
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- Web Data Mining and Analysis 5
- Web Applications and Data Management 4
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- Interactive and Immersive Displays 5
- Hand Gesture Recognition Systems 4
- Co-authors
- Martin Gaedke (8 shared papers)Tatiana Avdeenko (7 shared papers)R Elakkiya (4 shared papers)Ketan Kotecha (2 shared papers)V. Subramaniyaswamy (2 shared papers)О. М. Разумникова (7 shared papers)Sebastian Heil (6 shared papers)Lubna A. Gabralla (1 shared paper)
In The Last Decade
Maxim Bakaev
43 papers receiving 206 citations
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 108
- Developmental and Educational Psychology 48
- Computer Vision and Pattern Recognition 64
- Information Systems 35
- Information Systems and Management 9
Countries citing papers authored by Maxim Bakaev
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
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-authors
The 16 scholars most cited alongside Maxim Bakaev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 42 | |
| 2 | 2022 | 35 | |
| 3 | 2019 | 12 | |
| 4 | 2016 | 11 | |
| 5 | 2008 | 10 | |
| 6 | 2023 | 8 | |
| 7 | 2013 | 7 | |
| 8 | 2015 | 7 | |
| 9 | 2008 | 7 | |
| 10 | 2010 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 4 | |
| 16 | Kansei Engineering Experimental Research with University Websites | 2016 | 4 |
| 17 | 2017 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Maxim Bakaev
Maxim Bakaev is a scholar working on Information Systems, Human-Computer Interaction, Sociology and Political Science, Social Psychology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 228 indexed citations. Recurring topics across this work include Color perception and design (6 papers), Interactive and Immersive Displays (5 papers), Web Data Mining and Analysis (5 papers), Web Applications and Data Management (4 papers), Multimedia Communication and Technology (4 papers), Hand Gesture Recognition Systems (4 papers), Technology Use by Older Adults (4 papers) and Socioeconomic and Demographic Analysis (3 papers). The work is most often cited by research in Human-Computer Interaction (108 citations), Developmental and Educational Psychology (48 citations), Computer Vision and Pattern Recognition (64 citations), Information Systems (35 citations) and Information Systems and Management (9 citations). Maxim Bakaev has collaborated with scholars based in Russia, Germany and India. Frequent co-authors include Martin Gaedke, Tatiana Avdeenko, R Elakkiya, Ketan Kotecha, V. Subramaniyaswamy, О. М. Разумникова, Sebastian Heil, Lubna A. Gabralla, Ajith Abraham and Jatinderkumar R. Saini. Their work appears in journals such as IT Professional, Big Data and Cognitive Computing, Future Internet, Journal of Intelligence and International Journal of Mental Health Nursing.
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.