Mikhail Cherniakov

2.6k total citations
111 papers, 1.9k citations indexed

About

Mikhail Cherniakov is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Mikhail Cherniakov has authored 111 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Aerospace Engineering, 34 papers in Electrical and Electronic Engineering and 27 papers in Biomedical Engineering. Recurrent topics in Mikhail Cherniakov's work include Advanced SAR Imaging Techniques (53 papers), Radar Systems and Signal Processing (38 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (28 papers). Mikhail Cherniakov is often cited by papers focused on Advanced SAR Imaging Techniques (53 papers), Radar Systems and Signal Processing (38 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (28 papers). Mikhail Cherniakov collaborates with scholars based in United Kingdom, China and Russia. Mikhail Cherniakov's co-authors include Michail Antoniou, Marina Gashinova, Edward Hoare, Debora Pastina, Fabrizio Santi, Hui Ma, Liam Daniel, Fatemeh Norouzian, Marta Bucciarelli and Federica Pieralice and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Mikhail Cherniakov

105 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Cherniakov United Kingdom 24 1.4k 408 407 210 187 111 1.9k
Marina Gashinova United Kingdom 24 1.3k 0.9× 695 1.7× 635 1.6× 118 0.6× 116 0.6× 211 2.0k
Michail Antoniou United Kingdom 25 1.7k 1.1× 172 0.4× 334 0.8× 241 1.1× 266 1.4× 120 2.0k
Yongzhen Li China 19 1.2k 0.8× 219 0.5× 194 0.5× 75 0.4× 162 0.9× 190 1.5k
Matthew Ritchie United Kingdom 25 1.9k 1.3× 383 0.9× 717 1.8× 306 1.5× 55 0.3× 107 2.3k
P. Hoogeboom Netherlands 22 1.1k 0.8× 221 0.5× 488 1.2× 271 1.3× 236 1.3× 106 1.6k
Sevgi Zübeyde Gürbüz United States 24 1.5k 1.0× 391 1.0× 1.3k 3.1× 93 0.4× 43 0.2× 110 2.4k
Antonio Moccia Italy 23 1.5k 1.0× 119 0.3× 106 0.3× 161 0.8× 225 1.2× 132 1.8k
Tian Jin China 24 1.3k 0.9× 364 0.9× 1.4k 3.3× 67 0.3× 63 0.3× 197 2.2k
Graeme E. Smith United States 22 1.4k 1.0× 369 0.9× 592 1.5× 161 0.8× 29 0.2× 134 2.0k

Countries citing papers authored by Mikhail Cherniakov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Cherniakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Cherniakov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Cherniakov. A scholar is included among the top collaborators of Mikhail Cherniakov 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 Mikhail Cherniakov. Mikhail Cherniakov 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.
2.
Daniel, Liam, et al.. (2023). Repeatable Wave Data for Sub-THz Radar Marine Target Detection Experiments. University of Birmingham Research Portal (University of Birmingham). 148–151. 1 indexed citations
3.
Daniel, Liam, et al.. (2021). Height Estimation for 3-D Automotive Scene Reconstruction Using 300-GHz Multireceiver Radar. IEEE Transactions on Aerospace and Electronic Systems. 58(3). 2339–2351. 5 indexed citations
4.
Fang, Yue, et al.. (2020). Improved Passive SAR Imaging With DVB-T Transmissions. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 5066–5076. 26 indexed citations
5.
Hoare, Edward, et al.. (2019). Experimental Study of Rough Surface Backscattering for Low Terahertz Automotive Radar. 1–7. 7 indexed citations
6.
Cherniakov, Mikhail, et al.. (2018). Analysis of interferences in wideband low-THz wireless systems. 1734–1737. 2 indexed citations
7.
Stove, A.G., et al.. (2018). Passive SAR satellite (PASSAT) system: airborne demonstrator and first results. IET Radar Sonar & Navigation. 13(2). 236–242. 5 indexed citations
8.
Cherniakov, Mikhail, et al.. (2018). Passive SAR Satellite System (PASSAT): Ground Trials. University of Birmingham Research Portal (University of Birmingham). 1–6. 6 indexed citations
9.
Antoniou, Michail, A.G. Stove, Mikhail Cherniakov, et al.. (2018). Passive SAR satellite constellation for near-persistent earth observation: Prospects and issues. IEEE Aerospace and Electronic Systems Magazine. 33(12). 4–15. 9 indexed citations
10.
Thaler, Lore, Xinyu Zhang, Dinghe Wang, et al.. (2017). Mouth-clicks used by blind expert human echolocators – signal description and model based signal synthesis. PLoS Computational Biology. 13(8). e1005670–e1005670. 51 indexed citations
11.
Luca, Alessandro De, Liam Daniel, Marina Gashinova, et al.. (2017). Passive Multifrequency Forward-Scatter Radar Measurements of Airborne Targets Using Broadcasting Signals. IEEE Transactions on Aerospace and Electronic Systems. 53(3). 1067–1087. 43 indexed citations
12.
Norouzian, Fatemeh, Rui Du, Marina Gashinova, et al.. (2016). Monostatic and bistatic reflectivity measurements of radar absorbers at low-THz frequency. University of Birmingham Research Portal (University of Birmingham). 117–120. 6 indexed citations
13.
Daniel, Liam, et al.. (2015). Target Shadow Profile Reconstruction in ground-based forward scatter radar. 846–851. 11 indexed citations
14.
Santi, Fabrizio, et al.. (2014). Passive multi-static SAR with GNSS transmitters: first theoretical and experimental results with point targets. IRIS Research product catalog (Sapienza University of Rome). 1–4. 6 indexed citations
15.
Hoare, Edward, et al.. (2014). Remote road surface identification using radar and ultrasonic sensors. University of Birmingham Research Portal (University of Birmingham). 185–188. 8 indexed citations
16.
Antoniou, Michail, Zhangfan Zeng, Feifeng Liu, & Mikhail Cherniakov. (2012). Passive radar imaging with GNSS transmitters and a fixed receiver: Latest results. University of Birmingham Research Portal (University of Birmingham). 271–274. 3 indexed citations
17.
Zeng, Zhangfan, Michail Antoniou, Feifeng Liu, & Mikhail Cherniakov. (2011). First Space Surface Bistatic fixed receiver SAR images with a navigation satellite. University of Birmingham Research Portal (University of Birmingham). 373–378. 5 indexed citations
18.
Antoniou, Michail, Rajesh K. Saini, Rui Zuo, & Mikhail Cherniakov. (2008). Space-Surface Bistatic SAR topology and its impact on image formation. 1–4. 1 indexed citations
19.
Cherniakov, Mikhail, Marco D’Errico, Alberto Moreira, et al.. (2008). Bistatic radar : emerging technology. John Wiley & Sons eBooks. 95 indexed citations
20.
Hu, Cheng, Michail Antoniou, Mikhail Cherniakov, & V. Sizov. (2008). Quasi-optimal signal processing in ground Forward Scattering Radar. University of Birmingham Research Portal (University of Birmingham). 1–6. 28 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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