С. Д. Прокошкин
- Materials Chemistry top 1%
- Titanium Alloys Microstructure and Properties 172
- Shape Memory Alloy Transformations 115
- Microstructure and mechanical properties 36
- Mechanical Engineering top 0.5%
- Intermetallics and Advanced Alloy Properties 57
- Advanced materials and composites 44
- Microstructure and Mechanical Properties of Steels 29
- Metals and Alloys top 5%
- Mechanics of Materials top 2%
- Biomaterials top 5%
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- Orthopaedic implants and arthroplasty 25
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- Bone Tissue Engineering Materials 24
- Co-authors
- Vladimir BraïlovskiК. InaekyanS. DubinskiyI. Yu. KhmelevskayaAndrey KorotitskiyVadim SheremetyevVincent DemersЕ. П. Рыклина
In The Last Decade
С. Д. Прокошкин
227 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 73
- Materials Chemistry 3.5k
- Mechanical Engineering 2.1k
- Metals and Alloys 93
- Mechanics of Materials 625
- Biomaterials 258
Countries citing papers authored by С. Д. Прокошкин
This map shows the geographic impact of С. Д. Прокошкин'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 С. Д. Прокошкин with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites С. Д. Прокошкин more than expected).
Fields of papers citing papers by С. Д. Прокошкин
This network shows the impact of papers produced by С. Д. Прокошкин. 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 С. Д. Прокошкин. The network helps show where С. Д. Прокошкин may publish in the future.
Co-authorship network
The 25 scholars most cited alongside С. Д. Прокошкин, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 5 | |
| 17 | 2014 | 36 | |
| 18 | 2013 | 20 | |
| 19 | 2007 | 12 | |
| 20 | Structure and deformation diagrams of Ti-Ni alloys subjected to a low-temperature thermomechanical treatment with postdeformation heating | 2001 | 2 |
About С. Д. Прокошкин
С. Д. Прокошкин is a scholar working on Materials Chemistry, Mechanical Engineering and General Materials Science, having authored 234 papers that have together received 3.8k indexed citations. Recurring topics across this work include Titanium Alloys Microstructure and Properties (172 papers), Shape Memory Alloy Transformations (115 papers), Intermetallics and Advanced Alloy Properties (57 papers), Advanced materials and composites (44 papers), Microstructure and mechanical properties (36 papers), Microstructure and Mechanical Properties of Steels (29 papers), Orthopaedic implants and arthroplasty (25 papers) and Bone Tissue Engineering Materials (24 papers). The work is most often cited by research in Materials Chemistry (3.5k citations), Mechanical Engineering (2.1k citations) and Metals and Alloys (93 citations). С. Д. Прокошкин has collaborated with scholars based in Russia, Canada and Zimbabwe. Frequent co-authors include Vladimir Braïlovski, К. Inaekyan, S. Dubinskiy, I. Yu. Khmelevskaya, Andrey Korotitskiy, Vadim Sheremetyev, Vincent Demers, Е. П. Рыклина, E. V. Tat’yanin and Irina Trubitsyna. Their work appears in journals such as Journal of Alloys and Compounds, Materials Science and Engineering A, The Physics of Metals and Metallography, Shape Memory and Superelasticity and Materials Letters.
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.