Maxim Shcherbakov
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Building and Construction top 10%
- Control and Systems Engineering
- Co-authors
- Adriaan BrebelsAnton TyukovTimur JanovskyAlla G. KravetsДанила ПарыгинMarina KultsovaPeter P. GroumposAli Moradi Amani
- Topics
- Energy Load and Power Forecasting (6 papers)Forecasting Techniques and Applications (5 papers)Topic Modeling (3 papers)
In The Last Decade
Maxim Shcherbakov
40 papers receiving 515 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 149
- Electrical and Electronic Engineering 103
- Management Science and Operations Research 77
- Building and Construction 62
- Control and Systems Engineering 56
Countries citing papers authored by Maxim Shcherbakov
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | ENHANCING RASA NLU MODEL FOR VIETNAMESE CHATBOT | 14 |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | A Survey of Forecast Error Measuresbreakdown → | 325 |
| 19 | 2 | |
| 20 | [Dental periimplantitis distinctive features diagnostic in cases of minimal thyroid insufficiency]. | 3 |
About Maxim Shcherbakov
Maxim Shcherbakov is a scholar working on Medical Laboratory Technology, Energy Engineering and Power Technology and Artificial Intelligence, having authored 47 papers that have together received 540 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (6 papers), Forecasting Techniques and Applications (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Management Science and Operations Research (77 citations), Artificial Intelligence (149 citations) and Building and Construction (62 citations). Maxim Shcherbakov has collaborated with scholars based in Russia, Belgium and Greece. Frequent 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. Their work appears in journals such as Energies, Agriculture & Food Security and Automation and Remote Control.
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.