Maxim Buzdalov
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Software top 10%
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Co-authors
- Benjamin DoerrDenis AntipovCarola DoerrAnatoly ShalytoValeriy VyatkinVladimir UlyantsevFedor TsarevStefan Schmid
- Topics
- Advanced Multi-Objective Optimization Algorithms (34 papers)Evolutionary Algorithms and Applications (34 papers)Metaheuristic Optimization Algorithms Research (33 papers)
- Journals
- Evolutionary ComputationAlgorithmicaAutomatic Control and Computer Sciences
- Partner nations
- RussiaFranceUnited Kingdom
In The Last Decade
Maxim Buzdalov
53 papers receiving 302 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 251
- Computational Theory and Mathematics 223
- Software 21
- Control and Systems Engineering 19
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by Maxim Buzdalov
This map shows the geographic impact of Maxim Buzdalov'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 Buzdalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Buzdalov more than expected).
Fields of papers citing papers by Maxim Buzdalov
This network shows the impact of papers produced by Maxim Buzdalov. 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 Buzdalov. The network helps show where Maxim Buzdalov may publish in the future.
Co-authorship network of co-authors of Maxim Buzdalov
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Buzdalov. A scholar is included among the top collaborators of Maxim Buzdalov 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 Buzdalov. Maxim Buzdalov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | WORST-CASE EXECUTION TIME TEST GENERATION USING GENETIC ALGORITHMS WITH AUTOMATED CONSTRUCTION AND ONLINE SELECTION OF OBJECTIVES | 1 |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 7 |
About Maxim Buzdalov
Maxim Buzdalov is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence, having authored 57 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (34 papers), Evolutionary Algorithms and Applications (34 papers) and Metaheuristic Optimization Algorithms Research (33 papers). The work is most often cited by research in Computational Theory and Mathematics (223 citations), Artificial Intelligence (251 citations) and Software (21 citations). Maxim Buzdalov has collaborated with scholars based in Russia, France and United Kingdom. Frequent co-authors include Benjamin Doerr, Denis Antipov, Carola Doerr, Anatoly Shalyto, Valeriy Vyatkin, Vladimir Ulyantsev, Fedor Tsarev and Stefan Schmid. Their work appears in journals such as Evolutionary Computation, Algorithmica and Automatic Control and Computer Sciences.
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.