Ruslan Dautov

565 total citations · 1 hit paper
12 papers, 354 citations indexed

About

Ruslan Dautov is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruslan Dautov has authored 12 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruslan Dautov's work include Wireless Communication Security Techniques (4 papers), Wireless Body Area Networks (3 papers) and ECG Monitoring and Analysis (3 papers). Ruslan Dautov is often cited by papers focused on Wireless Communication Security Techniques (4 papers), Wireless Body Area Networks (3 papers) and ECG Monitoring and Analysis (3 papers). Ruslan Dautov collaborates with scholars based in United States, China and Russia. Ruslan Dautov's co-authors include Joshua Zhexue Huang, Salman Salloum, Xiaojun Chen, Gill R. Tsouri, Vladimir Iglovikov, Celal Savur, Jean‐Philippe Couderc and Xiaojuan Xia and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Letters and International Journal of Data Science and Analytics.

In The Last Decade

Ruslan Dautov

11 papers receiving 340 citations

Hit Papers

Big data analytics on Apache Spark 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruslan Dautov United States 6 134 118 116 63 47 12 354
Ramazan Terzi Türkiye 7 98 0.7× 146 1.2× 89 0.8× 38 0.6× 33 0.7× 15 322
Wei She China 15 242 1.8× 208 1.8× 298 2.6× 87 1.4× 48 1.0× 38 562
Man Qi United Kingdom 10 121 0.9× 185 1.6× 146 1.3× 80 1.3× 26 0.6× 58 419
E. A. Mary Anita India 12 297 2.2× 150 1.3× 147 1.3× 40 0.6× 113 2.4× 48 551
Abdullah Alabdulatif Saudi Arabia 9 161 1.2× 140 1.2× 123 1.1× 41 0.7× 50 1.1× 28 414
Fereidoon Shams Aliee Iran 13 381 2.8× 141 1.2× 298 2.6× 58 0.9× 59 1.3× 36 625
Ching‐Hsien Hsu Taiwan 14 206 1.5× 111 0.9× 165 1.4× 64 1.0× 33 0.7× 33 404
Daniel Puschmann United Kingdom 7 219 1.6× 193 1.6× 92 0.8× 80 1.3× 66 1.4× 9 495
Marko Šarac Serbia 11 80 0.6× 129 1.1× 113 1.0× 82 1.3× 63 1.3× 37 397
Ridha Khédri Canada 12 107 0.8× 191 1.6× 173 1.5× 19 0.3× 14 0.3× 54 429

Countries citing papers authored by Ruslan Dautov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
1.
Savur, Celal, et al.. (2022). Monitoring Pulse Rate in the Background Using Front Facing Cameras of Mobile Devices. IEEE Journal of Biomedical and Health Informatics. 27(5). 2208–2218. 1 indexed citations
2.
3.
Dautov, Ruslan & Gill R. Tsouri. (2020). On the Trade-off between Output SNR and Secret Key Generation Rate in Switch-and-Stay Combining. 1–4. 1 indexed citations
4.
Dautov, Ruslan & Gill R. Tsouri. (2019). Dynamic Off-Body Rician Channel Modeling for Indoor Wireless Body Area Networks. IEEE Journal of Biomedical and Health Informatics. 24(5). 1246–1254. 12 indexed citations
5.
Dautov, Ruslan & Gill R. Tsouri. (2019). Effects of Passive Negative Correlation Attack on Sensors Utilizing Physical Key Extraction in Indoor Wireless Body Area Networks. IEEE Sensors Letters. 3(7). 1–4. 7 indexed citations
6.
Dautov, Ruslan & Gill R. Tsouri. (2019). On the Negatively Correlated Eavesdropper in Indoor Wireless Body Area Networks. 1–2. 3 indexed citations
7.
Dautov, Ruslan, Celal Savur, & Gill R. Tsouri. (2018). On the Effect of Face Detection on Heart Rate Estimation in Videoplethysmography. 1–5. 3 indexed citations
8.
Iglovikov, Vladimir, et al.. (2018). Camera Model Identification Using Convolutional Neural Networks. 3107–3110. 14 indexed citations
9.
Dautov, Ruslan, et al.. (2018). A technique to aggregate classes of analog fault diagnostic data based on association rule mining. 238–243. 6 indexed citations
10.
Salloum, Salman, et al.. (2016). Big data analytics on Apache Spark. International Journal of Data Science and Analytics. 1(3-4). 145–164. 261 indexed citations breakdown →
11.
Dautov, Ruslan & Gill R. Tsouri. (2014). Securing While Sampling in Wireless Body Area Networks With Application to Electrocardiography. IEEE Journal of Biomedical and Health Informatics. 20(1). 135–142. 41 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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