Nikolay Nikolaev

1.3k total citations
88 papers, 887 citations indexed

About

Nikolay Nikolaev is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Nikolay Nikolaev has authored 88 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Nikolay Nikolaev's work include Adaptive Control of Nonlinear Systems (22 papers), Control Systems and Identification (19 papers) and Fault Detection and Control Systems (15 papers). Nikolay Nikolaev is often cited by papers focused on Adaptive Control of Nonlinear Systems (22 papers), Control Systems and Identification (19 papers) and Fault Detection and Control Systems (15 papers). Nikolay Nikolaev collaborates with scholars based in Russia, Mexico and United Kingdom. Nikolay Nikolaev's co-authors include Alexey Bobtsov, Hitoshi Iba, Atanas Gotchev, Roméo Ortega, Karen Egiazarian, Stanislav Aranovskiy, Artem Kremlev, Denis Dochain, Daniel Raho and Johannes Schiffer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Neurocomputing.

In The Last Decade

Nikolay Nikolaev

73 papers receiving 833 citations

Peers

Nikolay Nikolaev
Liang Xu China
Po-Yu Chen Taiwan
Bo Wei China
Nikolay Nikolaev
Citations per year, relative to Nikolay Nikolaev Nikolay Nikolaev (= 1×) peers Jianfeng Chen

Countries citing papers authored by Nikolay Nikolaev

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Nikolaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Nikolaev

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Nikolaev. A scholar is included among the top collaborators of Nikolay Nikolaev 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 Nikolay Nikolaev. Nikolay Nikolaev 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.
Ortega, Roméo, Alexey Bobtsov, Ramon Costa‐Castelló, Nikolay Nikolaev, & Anton A. Pyrkin. (2023). Parameter Estimation of Some Special Classes of Dynamical Nonlinear Systems with Non-Separable Nonlinear Parameterizations. QRU Quaderns de Recerca en Urbanisme. 2 indexed citations
2.
Bobtsov, Alexey, et al.. (2023). Adaptive observer for state variables of a time-varying nonlinear system with unknown constant parameters and delayed measurements. SHILAP Revista de lepidopterología. 23(4). 850–853.
3.
Nikolaev, Nikolay, et al.. (2023). Lymph nodes of the head and neck: in normal and pathological conditions. 12(1). 69–69. 11 indexed citations
4.
Nikolaev, Nikolay, et al.. (2021). METHODOLOGICAL APPROACH TO DETERMINING AND ASSESSING THE COMPETITIVENESS OF PERSONNEL. Bulletin of South Ural State University series Economics and management. 15(1). 93–109. 1 indexed citations
5.
Ortega, Roméo, Alexey Bobtsov, Nikolay Nikolaev, Johannes Schiffer, & Denis Dochain. (2020). Generalized Parameter Estimation-based Observers: Application to Power\n Systems and Chemical-Biological Reactors. arXiv (Cornell University). 55 indexed citations
6.
Bobtsov, Alexey, Roméo Ortega, Nikolay Nikolaev, & Johannes Schiffer. (2020). A Globally Convergent State Observer for Multimachine Power Systems with\n Lossy Lines. arXiv (Cornell University).
7.
Nikolaev, Nikolay. (2020). METHODOLOGICAL APPROACH TO ASSESSMENT AND IMPROVEMENT OF THE PERSONNEL MANAGEMENT SYSTEM IN CONDITIONS OF HIGHLY COMPETITIVE INNOVATION ENVIRONMENT. Bulletin of South Ural State University series Economics and management. 14(1). 80–92. 1 indexed citations
8.
Mattie, Heather, Patrick Reidy, Patrik Bächtiger, et al.. (2019). A Framework for Predicting Impactability of Digital Care Management Using Machine Learning Methods. Population Health Management. 23(4). 319–325. 6 indexed citations
9.
Pyrkin, Anton A., Stanislav Aranovskiy, Alexey Bobtsov, Sergey A. Kolyubin, & Nikolay Nikolaev. (2018). Fradkov Theorem-Based Control of MIMO Nonlinear Lurie Systems. Automation and Remote Control. 79(6). 1074–1085. 4 indexed citations
10.
Nikolaev, Nikolay, et al.. (2017). Method to select the additional inductance value for fullbridge converter. Proceedings of Tomsk State University of Control Systems and Radioelectronics. 20(3). 220–225. 1 indexed citations
11.
Kapitonov, Aleksandr, et al.. (2017). Application of the Stewart platform for studying in control theory. 115. 95–99. 5 indexed citations
12.
Borisov, Oleg I., Vladislav S. Gromov, Anton A. Pyrkin, Alexey Bobtsov, & Nikolay Nikolaev. (2016). Output Robust Control with Anti-Windup Compensation for Quadcopters**This article is supported by Russian Science Foundation, project 16-11-00049.. IFAC-PapersOnLine. 49(13). 287–292. 15 indexed citations
13.
Paolino, Michele, et al.. (2015). SnabbSwitch user space virtual switch benchmark and performance optimization for NFV. 86–92. 39 indexed citations
14.
Nikolaev, Nikolay & Atanas Gotchev. (2015). Ecg Signal Denoising Using Wavelet Domain Wiener Filtering. Zenodo (CERN European Organization for Nuclear Research). 1–4. 7 indexed citations
15.
Smirnov, Evgueni, et al.. (2013). Aggregating Human-Expert Opinions for Multi-Label Classification. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 68–69.
16.
Adams, Jeffrey M., Nikolay Nikolaev, Jeanette Ives Erickson, Marianne Ditomassi, & Dorothy Jones. (2013). Identification of the Psychometric Properties of the Leadership Influence Over Professional Practice Environments Scale. JONA The Journal of Nursing Administration. 43(5). 258–265. 11 indexed citations
17.
Nikolaev, Nikolay, et al.. (2008). Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks. 62. 843–848. 5 indexed citations
18.
Nikolaev, Nikolay & Hitoshi Iba. (2006). Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation). Springer eBooks. 15 indexed citations
19.
Nikolaev, Nikolay, et al.. (2001). Suppression of electromyogram interference on the electrocardiogram by transform domain denoising. Medical & Biological Engineering & Computing. 39(6). 649–655. 28 indexed citations
20.
Nikolaev, Nikolay & Atanas Gotchev. (1998). Denoising Of Ecg Signals Using Wavelet Shrinkage With Time-Frequency Dependant Treshold. Zenodo (CERN European Organization for Nuclear Research). 1–4. 2 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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