Andrei Gantimurov
- Mechanical Engineering
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 10%
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- А. С. БородулинВ С ТынченкоIvan MalashinVladimir NelyubV V BukhtoyarovВ В КукарцевSergei KurashkinYadviga Tynchenko
- Topics
- Machine Learning in Materials Science (8 papers)Injection Molding Process and Properties (5 papers)Computational Drug Discovery Methods (5 papers)
- Cited by
- Nuclear Energy and EngineeringIndustrial and Manufacturing EngineeringMechanical Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- Russia
In The Last Decade
Andrei Gantimurov
35 papers receiving 314 citations
Peers
Comparison fields: 5 of 90
- Mechanical Engineering 89
- Electrical and Electronic Engineering 52
- Industrial and Manufacturing Engineering 41
- Materials Chemistry 37
- Biomedical Engineering 29
Countries citing papers authored by Andrei Gantimurov
This map shows the geographic impact of Andrei Gantimurov'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 Andrei Gantimurov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Gantimurov more than expected).
Fields of papers citing papers by Andrei Gantimurov
This network shows the impact of papers produced by Andrei Gantimurov. 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 Andrei Gantimurov. The network helps show where Andrei Gantimurov may publish in the future.
Co-authorship network of co-authors of Andrei Gantimurov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Gantimurov. A scholar is included among the top collaborators of Andrei Gantimurov 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 Andrei Gantimurov. Andrei Gantimurov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 31 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 22 |
About Andrei Gantimurov
Andrei Gantimurov is a scholar working on Nuclear Energy and Engineering, Industrial and Manufacturing Engineering and General Materials Science, having authored 43 papers that have together received 323 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Injection Molding Process and Properties (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Nuclear Energy and Engineering (3 citations), Industrial and Manufacturing Engineering (41 citations) and Mechanical Engineering (89 citations). Andrei Gantimurov has collaborated with scholars based in Russia. Frequent co-authors include А. С. Бородулин, В С Тынченко, Ivan Malashin, Vladimir Nelyub, V V Bukhtoyarov, В В Кукарцев, Sergei Kurashkin, Yadviga Tynchenko, V. A. Nelyub and А.S. Selyukov. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular 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.