Maxim Shcherbakov

1.4k total citations · 1 hit paper
47 papers, 540 citations indexed

About

Maxim Shcherbakov is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Maxim Shcherbakov has authored 47 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Maxim Shcherbakov's work include Energy Load and Power Forecasting (6 papers), Forecasting Techniques and Applications (5 papers) and Topic Modeling (3 papers). Maxim Shcherbakov is often cited by papers focused on Energy Load and Power Forecasting (6 papers), Forecasting Techniques and Applications (5 papers) and Topic Modeling (3 papers). Maxim Shcherbakov collaborates with scholars based in Russia, Belgium and Greece. Maxim Shcherbakov's co-authors include Adriaan Brebels, Anton Tyukov, Timur Janovsky, Alla G. Kravets, Данила Парыгин, Marina Kultsova, Peter P. Groumpos, Ali Moradi Amani and Yuri A. Timofeev and has published in prestigious journals such as Energies, Agriculture & Food Security and Automation and Remote Control.

In The Last Decade

Maxim Shcherbakov

40 papers receiving 515 citations

Hit Papers

A Survey of Forecast Error Measures 2013 2026 2017 2021 2013 100 200 300
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.

  1. A Survey of Forecast Error Measures
    2013 325 citations Maxim Shcherbakov, Adriaan Brebels et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Shcherbakov Russia 10 149 103 77 62 56 47 540
Youru Li China 9 183 1.2× 127 1.2× 98 1.3× 88 1.4× 46 0.8× 25 545
Sangeeta Pant India 18 190 1.3× 120 1.2× 115 1.5× 45 0.7× 107 1.9× 45 899
Timo Müller Germany 10 130 0.9× 79 0.8× 41 0.5× 27 0.4× 90 1.6× 22 601
Owusu Nyarko‐Boateng Ghana 10 123 0.8× 282 2.7× 60 0.8× 64 1.0× 39 0.7× 25 705
Mohsen Yousefi Iran 4 76 0.5× 129 1.3× 125 1.6× 40 0.6× 30 0.5× 6 396
Deqiang Kong China 5 106 0.7× 107 1.0× 77 1.0× 75 1.2× 39 0.7× 7 452
Maulana Azad Iran 6 110 0.7× 76 0.7× 34 0.4× 27 0.4× 50 0.9× 10 484
Abderrazak Sebaa Algeria 7 175 1.2× 198 1.9× 145 1.9× 69 1.1× 41 0.7× 18 639
Pradeep Hewage United Kingdom 3 129 0.9× 164 1.6× 86 1.1× 64 1.0× 39 0.7× 7 553

Countries citing papers authored by Maxim Shcherbakov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Shcherbakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Shcherbakov

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Shcherbakov. A scholar is included among the top collaborators of Maxim Shcherbakov 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 Maxim Shcherbakov. Maxim Shcherbakov 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.
Shcherbakov, Maxim, et al.. (2025). An Intelligent Support Method for the Formation of Control Actions in Proactive Management of Complex Systems. Applied System Innovation. 9(1). 5–5.
2.
Shcherbakov, Maxim, et al.. (2023). New Method of Degradation Process Identification for Reliability-Centered Maintenance of Energy Equipment. Energies. 16(2). 575–575. 3 indexed citations
3.
Shcherbakov, Maxim, et al.. (2022). A Hybrid Deep Learning Framework for Intelligent Predictive Maintenance of Cyber-physical Systems. ACM Transactions on Cyber-Physical Systems. 6(2). 1–22. 24 indexed citations
4.
Kravets, Alla G., et al.. (2022). Cyber-Physical Systems: Intelligent Models and Algorithms. Studies in systems, decision and control. 2 indexed citations
5.
Shcherbakov, Maxim, et al.. (2021). ENHANCING RASA NLU MODEL FOR VIETNAMESE CHATBOT. International journal of open information technologies. 9(1). 31–36. 14 indexed citations
6.
Shcherbakov, Maxim, et al.. (2021). Forecasting potential yields under uncertainty using fuzzy cognitive maps. Agriculture & Food Security. 10(1). 3 indexed citations
7.
Kravets, Alla G., Maxim Shcherbakov, Данила Парыгин, & Peter P. Groumpos. (2021). Creativity in Intelligent Technologies and Data Science. Communications in computer and information science.
8.
Shcherbakov, Maxim, et al.. (2019). MULTILEVEL ARCHITECTURE OF AN INTELLECTUAL MANAGEMENT DECISIONS SUPPORT SYSTEM IN RESOURCES SUPPLY SYSTEMS OF INDUSTRIAL PRODUCTION. Modelirovanie, optimizaciâ i informacionnye tehnologii.. 7(1(24)). 27–28.
9.
10.
Shcherbakov, Maxim, et al.. (2018). Data Schemas for Forecasting (with Examples in R). 24. 121–125.
11.
Shcherbakov, Maxim, et al.. (2018). A Neural Network based Vietnamese Chatbot. 147–149. 10 indexed citations
12.
Shcherbakov, Maxim, et al.. (2017). A survey of fuzzy cognitive maps forecasting methods. 1–6. 5 indexed citations
13.
Shcherbakov, Maxim, et al.. (2016). AUTOMATIC MULTI-STEPS FORECASTING METHOD FOR MULTI SEASONAL TIME SERIES BASED ON SYMBOLIC AGGREGATE APPROXIMATION AND GRID SEARCH APPROACHES. Journal of Fundamental and Applied Sciences. 8. 2529–2541.
14.
Парыгин, Данила, et al.. (2016). Geospatial Data Generation and Preprocessing Tools for Urban Computing System Development1. Procedia Computer Science. 101. 217–226. 14 indexed citations
15.
Shcherbakov, Maxim, et al.. (2016). DECISION SUPPORT AUTOMATION FOR THE PUBLIC TRANSPORT ROUTES DEVELOPMENT BASED ON THE CORRESPONDENCES POPULATION DATA ANALYSIS. Vestnik komp iuternykh i informatsionnykh tekhnologii. 29–33. 2 indexed citations
16.
Парыгин, Данила, et al.. (2015). Strategway. 1–4. 10 indexed citations
17.
Kravets, Alla G., et al.. (2014). Knowledge-Based Software Engineering: 11th Joint Conference, JCKBSE 2014, Volgograd, Russia, September 17-20, 2014. Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
18.
Shcherbakov, Maxim, et al.. (2013). A Survey of Forecast Error Measures. 325 indexed citations breakdown →
19.
Tyukov, Anton, et al.. (2012). A concept of web-based energy data quality assurance and control system. 267–271. 2 indexed citations
20.
Shcherbakov, Maxim, et al.. (2008). [Dental periimplantitis distinctive features diagnostic in cases of minimal thyroid insufficiency].. PubMed. 87(5). 50–5. 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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