Nikolay O. Nikitin

489 total citations
25 papers, 284 citations indexed

About

Nikolay O. Nikitin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, Nikolay O. Nikitin has authored 25 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Environmental Engineering. Recurrent topics in Nikolay O. Nikitin's work include Evolutionary Algorithms and Applications (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Machine Learning and Data Classification (4 papers). Nikolay O. Nikitin is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Machine Learning and Data Classification (4 papers). Nikolay O. Nikitin collaborates with scholars based in Russia, China and Germany. Nikolay O. Nikitin's co-authors include Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky, Alexander Visheratin, Sergey V. Kovalchuk, Xiaohao Wang, Xiang Qian, Klavdiya Bochenina, Denis Nasonov, A. V. Lebedev and Liwei Lin and has published in prestigious journals such as Remote Sensing, Knowledge-Based Systems and Computers & Geosciences.

In The Last Decade

Nikolay O. Nikitin

21 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolay O. Nikitin Russia 9 86 85 73 50 38 25 284
Anna V. Kalyuzhnaya Russia 10 91 1.1× 88 1.0× 66 0.9× 65 1.3× 32 0.8× 39 327
Jinah Kim South Korea 11 89 1.0× 58 0.7× 59 0.8× 109 2.2× 28 0.7× 61 460
Yao‐Min Fang Taiwan 11 63 0.7× 45 0.5× 40 0.5× 26 0.5× 60 1.6× 29 355
Alihan Teke Türkiye 5 132 1.5× 50 0.6× 42 0.6× 59 1.2× 20 0.5× 11 364
Amir Seyed Danesh Malaysia 9 112 1.3× 99 1.2× 61 0.8× 34 0.7× 68 1.8× 23 367
Shuhaida Ismail Malaysia 9 72 0.8× 106 1.2× 65 0.9× 29 0.6× 36 0.9× 37 332
Emmanuel de Bézenac France 5 50 0.6× 46 0.5× 82 1.1× 52 1.0× 17 0.4× 8 278
N. Anusha India 7 108 1.3× 38 0.4× 30 0.4× 45 0.9× 42 1.1× 24 232

Countries citing papers authored by Nikolay O. Nikitin

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay O. Nikitin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay O. Nikitin

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay O. Nikitin. A scholar is included among the top collaborators of Nikolay O. Nikitin 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 O. Nikitin. Nikolay O. Nikitin 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.
Kalyuzhnaya, Anna V., et al.. (2025). LLM Agents for Smart City Management: Enhancing Decision Support Through Multi-Agent AI Systems. Smart Cities. 8(1). 19–19. 13 indexed citations
2.
Nikitin, Nikolay O., et al.. (2024). Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines. Knowledge-Based Systems. 302. 112363–112363.
3.
Nikitin, Nikolay O., et al.. (2024). GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1668–1675.
4.
Nikitin, Nikolay O., et al.. (2023). Automated machine learning approach for time series classification pipelines using evolutionary optimization. Knowledge-Based Systems. 268. 110483–110483. 22 indexed citations
5.
Nikitin, Nikolay O., Anna V. Kalyuzhnaya, A. V. Lebedev, et al.. (2022). Single Red Blood Cell Hydrodynamic Traps via the Generative Design. Micromachines. 13(3). 367–367. 2 indexed citations
6.
Nikitin, Nikolay O., et al.. (2022). Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea. Computers & Geosciences. 161. 105061–105061. 18 indexed citations
7.
8.
Nikitin, Nikolay O., et al.. (2022). Generative design of physical objects using modular framework. Engineering Applications of Artificial Intelligence. 119. 105715–105715. 4 indexed citations
9.
Nikitin, Nikolay O., et al.. (2021). Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River. Water. 13(24). 3482–3482. 13 indexed citations
10.
Nikitin, Nikolay O., et al.. (2021). Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning. Procedia Computer Science. 193. 484–493. 3 indexed citations
11.
Nikitin, Nikolay O., et al.. (2021). Automated Evolutionary Design of CNN Classifiers for Object Recognition on Satellite Images. Procedia Computer Science. 193. 210–219. 5 indexed citations
12.
Nikitin, Nikolay O., et al.. (2021). Hybrid Modelling of Environmental Processes using Composite Models. Procedia Computer Science. 193. 256–265. 3 indexed citations
13.
Kalyuzhnaya, Anna V., et al.. (2020). Automatic evolutionary learning of composite models with knowledge enrichment. 43–44. 8 indexed citations
14.
Kalyuzhnaya, Anna V., et al.. (2020). Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. Entropy. 23(1). 28–28. 11 indexed citations
15.
16.
Nikitin, Nikolay O., et al.. (2019). Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. Ocean Modelling. 141. 101427–101427. 6 indexed citations
17.
Nikitin, Nikolay O., et al.. (2019). Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1583–1591. 4 indexed citations
18.
Kovalchuk, Sergey V., et al.. (2018). Towards management of complex modeling through a hybrid evolutionary identification. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 255–256.
19.
Nikitin, Nikolay O., et al.. (2017). Urban Pluvial Flood Forecasting using Open Data with Machine Learning Techniques in Pattani Basin. Procedia Computer Science. 119. 288–297. 53 indexed citations
20.
Nikitin, Nikolay O., et al.. (2016). Statistics-based Models of Flood-causing Cyclones for the Baltic Sea Region. Procedia Computer Science. 101. 272–281. 3 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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