Ruslan Dautov
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Joshua Zhexue HuangSalman SalloumXiaojun ChenGill R. TsouriVladimir IglovikovCelal SavurJean‐Philippe CoudercXiaojuan Xia
- Topics
- Wireless Communication Security Techniques (4 papers)Wireless Body Area Networks (3 papers)ECG Monitoring and Analysis (3 papers)
- Journals
- IEEE Journal of Biomedical and Health InformaticsIEEE Sensors LettersInternational Journal of Data Science and Analytics
- Partner nations
- United StatesChinaRussia
In The Last Decade
Ruslan Dautov
11 papers receiving 340 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 134
- Artificial Intelligence 118
- Information Systems 116
- Computer Vision and Pattern Recognition 63
- Electrical and Electronic Engineering 47
Countries citing papers authored by Ruslan Dautov
This map shows the geographic impact of Ruslan 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 Ruslan Dautov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruslan Dautov more than expected).
Fields of papers citing papers by Ruslan Dautov
This network shows the impact of papers produced by Ruslan 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 Ruslan Dautov. The network helps show where Ruslan Dautov may publish in the future.
Co-authorship network of co-authors of Ruslan Dautov
This figure shows the co-authorship network connecting the top 25 collaborators of Ruslan Dautov. A scholar is included among the top collaborators of Ruslan Dautov 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 Ruslan Dautov. Ruslan Dautov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | Big data analytics on Apache Sparkbreakdown → | 261 |
| 11 | 41 | |
| 12 | 0 |
About Ruslan Dautov
Ruslan Dautov is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Biomedical Engineering, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (4 papers), Wireless Body Area Networks (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Computer Networks and Communications (134 citations), Information Systems (116 citations) and Management Information Systems (36 citations). Ruslan Dautov has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Joshua Zhexue Huang, Salman Salloum, Xiaojun Chen, Gill R. Tsouri, Vladimir Iglovikov, Celal Savur, Jean‐Philippe Couderc and Xiaojuan Xia. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Letters and International Journal of Data Science and Analytics.
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.