Valentin Mateev
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies 11
- Control and Systems Engineering top 10%
- Magnetic Bearings and Levitation Dynamics 23
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- Electric Motor Design and Analysis 26
- Power Transformer Diagnostics and Insulation 6
- Magnetic Field Sensors Techniques 6
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- Magnetic Properties and Applications 18
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- Non-Destructive Testing Techniques 8
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- Advanced Sensor and Energy Harvesting Materials 7
Valentin Mateev
98 papers receiving 386 citations
Peers
Comparison fields: 5 of 69
- Automotive Engineering 73
- Control and Systems Engineering 125
- Electrical and Electronic Engineering 270
- Electronic, Optical and Magnetic Materials 86
- Mechanical Engineering 94
Countries citing papers authored by Valentin Mateev
This map shows the geographic impact of Valentin Mateev'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 Valentin Mateev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Mateev more than expected).
Fields of papers citing papers by Valentin Mateev
This network shows the impact of papers produced by Valentin Mateev. 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 Valentin Mateev. The network helps show where Valentin Mateev may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Valentin Mateev, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Valentin Mateev
Valentin Mateev is a scholar working on Control and Systems Engineering, Automotive Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 108 papers that have together received 394 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (26 papers), Magnetic Bearings and Levitation Dynamics (23 papers), Magnetic Properties and Applications (18 papers), Additive Manufacturing and 3D Printing Technologies (11 papers), Non-Destructive Testing Techniques (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Power Transformer Diagnostics and Insulation (6 papers) and Magnetic Field Sensors Techniques (6 papers). The work is most often cited by research in Automotive Engineering (73 citations), Control and Systems Engineering (125 citations), Electrical and Electronic Engineering (270 citations), Electronic, Optical and Magnetic Materials (86 citations) and Mechanical Engineering (94 citations). Valentin Mateev has collaborated with scholars based in Bulgaria, India and Japan. Frequent co-authors include Iliana Marinova, Mariya Aleksandrova, B. Stefanov, Boriana Tzaneva, Khairunnisa Amreen, Bharat Singh Rajpurohit, Sanket Goel, Stefan Valkov, Y. Saito and Narsa Reddy Tummuru. Their work appears in journals such as Sensors, Energies, Electronics, Radiotherapy and Oncology and IEEE Transactions on Magnetics.
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.