Rustem Dautov
Impact in
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 23
- Software System Performance and Reliability 5
- Distributed systems and fault tolerance 4
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- Cloud Computing and Resource Management 12
- Service-Oriented Architecture and Web Services 5
- Blockchain Technology Applications and Security 4
- Co-authors
- Salvatore Distefano (11 shared papers)Rajkumar Buyya (2 shared papers)Giovanni Merlino (6 shared papers)Dario Bruneo (6 shared papers)Hui Song (11 shared papers)Francesco Longo (5 shared papers)Gill R. Tsouri (1 shared paper)Antonio Puliafito (5 shared papers)
In The Last Decade
Rustem Dautov
38 papers receiving 454 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 306
- Information Systems 170
- Health Informatics 6
- Health Information Management 19
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Rustem Dautov
This map shows the geographic impact of Rustem Dautov'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 Rustem Dautov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rustem Dautov more than expected).
Fields of papers citing papers by Rustem Dautov
This network shows the impact of papers produced by Rustem Dautov. 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 Rustem Dautov. The network helps show where Rustem Dautov may publish in the future.
Co-authors
The 25 scholars most cited alongside Rustem Dautov, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 85 | |
| 2 | 2018 | 41 | |
| 3 | 2013 | 37 | |
| 4 | 2019 | 34 | |
| 5 | 2018 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2013 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2018 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 6 | |
| 20 | Towards IoT Diversity via Automated Fleet Management. | 2019 | 6 |
About Rustem Dautov
Rustem Dautov is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 39 papers that have together received 473 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (23 papers), Cloud Computing and Resource Management (12 papers), Big Data and Business Intelligence (5 papers), Context-Aware Activity Recognition Systems (5 papers), Service-Oriented Architecture and Web Services (5 papers), Software System Performance and Reliability (5 papers), Blockchain Technology Applications and Security (4 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Networks and Communications (306 citations), Information Systems (170 citations), Health Informatics (6 citations), Health Information Management (19 citations) and Computer Vision and Pattern Recognition (80 citations). Rustem Dautov has collaborated with scholars based in Norway, Russia and Italy. Frequent co-authors include Salvatore Distefano, Rajkumar Buyya, Giovanni Merlino, Dario Bruneo, Hui Song, Francesco Longo, Gill R. Tsouri, Antonio Puliafito, Nicolas Ferry and Iraklis Paraskakis. Their work appears in journals such as IEEE Access, Physics and Chemistry of Minerals, Journal of Cloud Computing Advances Systems and Applications, Software Practice and Experience and IEEE Transactions on Cloud Computing.
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.