Evgeny Burnaev

3.9k total citations · 2 hit papers
172 papers, 1.5k citations indexed

About

Evgeny Burnaev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Evgeny Burnaev has authored 172 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 21 papers in Control and Systems Engineering. Recurrent topics in Evgeny Burnaev's work include Reservoir Engineering and Simulation Methods (15 papers), Anomaly Detection Techniques and Applications (11 papers) and Functional Brain Connectivity Studies (10 papers). Evgeny Burnaev is often cited by papers focused on Reservoir Engineering and Simulation Methods (15 papers), Anomaly Detection Techniques and Applications (11 papers) and Functional Brain Connectivity Studies (10 papers). Evgeny Burnaev collaborates with scholars based in Russia, United States and United Arab Emirates. Evgeny Burnaev's co-authors include Dmitry Koroteev, Alexey Zaytsev, Andrei Osiptsov, Alexander Bernstein, Alexey Artemov, Dmitrii Shadrin, Svetlana Illarionova, Nikita Klyuchnikov, Sergey Ivanov and Maxim Sharaev and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Evgeny Burnaev

153 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks

2019 173 citations Evgeny Burnaev et al. profile →
Challenges in data-driven geospatial modeling for environmental research and practice

2024 36 citations Alexey Zaytsev, Evgeny Burnaev et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evgeny Burnaev Russia	20	346	336	256	250	183	172	1.5k
Yuanyuan Liu China	22	161 0.5×	150 0.4×	123 0.5×	456 1.8×	88 0.5×	96	1.6k
Luis Vergara Spain	24	405 1.2×	153 0.5×	134 0.5×	234 0.9×	227 1.2×	132	1.5k
Timothy Masters United States	10	670 1.9×	126 0.4×	231 0.9×	167 0.7×	138 0.8×	22	2.0k
Jun Liu China	40	680 2.0×	159 0.5×	98 0.4×	403 1.6×	82 0.4×	334	5.3k
Alberto García-García Spain	15	421 1.2×	175 0.5×	159 0.6×	1.1k 4.5×	54 0.3×	34	2.6k
Roberto Sabatini Australia	34	629 1.8×	181 0.5×	116 0.5×	371 1.5×	54 0.3×	253	3.9k
Sergiu Oprea Spain	8	378 1.1×	170 0.5×	143 0.6×	959 3.8×	53 0.3×	13	2.1k
Paweł Świętojański United Kingdom	24	1.2k 3.6×	274 0.8×	234 0.9×	263 1.1×	204 1.1×	41	2.0k

Countries citing papers authored by Evgeny Burnaev

Since Specialization

Citations

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

Fields of papers citing papers by Evgeny Burnaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Burnaev

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Burnaev. A scholar is included among the top collaborators of Evgeny Burnaev 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 Evgeny Burnaev. Evgeny Burnaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Trias, F. Xavier, et al.. (2025). A CFD-based multi-fidelity surrogate model for predicting indoor airflow parameters using sensor readings. Building and Environment. 270. 112533–112533.

Zaytsev, Alexey, et al.. (2025). A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. IEEE Access. 13. 96423–96433.

Illarionova, Svetlana, Vladimir Podlipnov, Dmitrii Shadrin, et al.. (2025). Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. IEEE Access. 13. 97454–97471.

Medvedev, Michael G., et al.. (2025). On the practical applicability of DM21 neural-network DFT functional for chemical calculations: Focus on geometry optimization. The Journal of Chemical Physics. 163(7). 2 indexed citations

Sergiyenko, Oleg, Vera Tyrsa, Julio C. Rodríguez‐Quiñonez, et al.. (2025). Modeling and Analysis of Nonlinear Chaotic Mechanical Dynamics in Laser Scanning Systems. DergiPark (Istanbul University). 7(2). 125–137.

Боронин, С. А., et al.. (2024). Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements. Petroleum Research. 10(2). 247–265. 1 indexed citations

Zaytsev, Alexey, et al.. (2024). Challenges in data-driven geospatial modeling for environmental research and practice. Nature Communications. 15(1). 10700–10700. 36 indexed citations breakdown →

Карпов, О Э, et al.. (2024). Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Information Sciences. 686. 121354–121354. 2 indexed citations

Illarionova, Svetlana, Rifat Hamoudi, Alexander Bernstein, et al.. (2024). A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Information Sciences. 686. 121358–121358. 1 indexed citations

10.

Simakov, D., et al.. (2024). A Large-Scale Empirical Study of Aligned Time Series Forecasting. IEEE Access. 12. 131100–131121. 1 indexed citations

11.

Illarionova, Svetlana, et al.. (2023). Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data. Scientific Reports. 13(1). 22167–22167. 2 indexed citations

12.

Burnaev, Evgeny, et al.. (2023). Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. IEEE Access. 11. 95681–95691. 5 indexed citations

13.

Somov, Andrey, et al.. (2021). Analysis of Video Game Players’ Emotions and Team Performance: An Esports Tournament Case Study. IEEE Journal of Biomedical and Health Informatics. 26(8). 3597–3606. 15 indexed citations

14.

Burnaev, Evgeny, et al.. (2020). Data-driven models and computational tools for neurolinguistics: a language technology perspective. 21(1). 15–52. 1 indexed citations

15.

Burnaev, Evgeny, et al.. (2019). BooVAE: A scalable framework for continual VAE learning under boosting approach.. arXiv (Cornell University). 1 indexed citations

16.

Ivanov, Sergey & Evgeny Burnaev. (2018). Anonymous Walk Embeddings. International Conference on Machine Learning. 2186–2195. 23 indexed citations

17.

Athar, ShahRukh, Evgeny Burnaev, & Victor Lempitsky. (2018). Latent Convolutional Models. International Conference on Learning Representations. 2 indexed citations

18.

Klyuchnikov, Nikita & Evgeny Burnaev. (2018). Laplace Inference for Multi-fidelity Gaussian Process Classification.. arXiv (Cornell University). 1 indexed citations

19.

Bernstein, Alexander, et al.. (2017). Machine Learning in Appearance-Based Robot Self-Localization. 106–112. 3 indexed citations

20.

Zaytsev, Alexey & Evgeny Burnaev. (2017). Minimax Approach to Variable Fidelity Data Interpolation.. International Conference on Artificial Intelligence and Statistics. 652–661. 8 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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