Valentin Mateev

635 citations
120 papers · 438 · h-index 11

Impact in

Papers in

Valentin Mateev

103 papers receiving 432 citations

Peers

Valentin Mateev
Comparison fields: 5 of 66
  • Automotive Engineering 85
  • Control and Systems Engineering 133
  • Electrical and Electronic Engineering 280
  • Electronic, Optical and Magnetic Materials 87
  • Mechanical Engineering 103
Replace Iliana Marinova with:
Iliana Marinova Bulgaria
Yong-Dae Kim South Korea
Duo Xiao China
M.J. Prieto Spain
Guoqiang Chen China
Alberto Oliveri Italy
Man Wang China
Chenhui Li China
Sungmoon Joo South Korea
Xinzhen Wu China
Valentin Mateev relative to Iliana Marinova Bulgaria Iliana Marinova's profile →
Citations per field
00.5×1.6×
Iliana Marinova · 1×
Citations per year

Countries citing papers authored by Valentin Mateev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 19 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.

Border = papers with Valentin Mateev Line = papers co-authored together Valentin Mateev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201931
2 201919
3 201614
4 202412
5 202012
6 202112
7 201011
8 201611
9 201811
10 201811
11 202311
12 201211
13 201910
14 201410
15 20189
16 20199
17 20109
18 20218
19 20168
20 20238

About Valentin Mateev

Valentin Mateev is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 120 papers that have together received 438 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (28 papers), Magnetic Bearings and Levitation Dynamics (24 papers), Magnetic Properties and Applications (18 papers), Additive Manufacturing and 3D Printing Technologies (13 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Non-Destructive Testing Techniques (8 papers), Power Transformer Diagnostics and Insulation (6 papers) and Characterization and Applications of Magnetic Nanoparticles (6 papers). The work is most often cited by research in Automotive Engineering (85 citations), Control and Systems Engineering (133 citations), Electrical and Electronic Engineering (280 citations), Electronic, Optical and Magnetic Materials (87 citations) and Mechanical Engineering (103 citations). Valentin Mateev has collaborated with scholars based in Bulgaria, India and Japan. Frequent co-authors include Iliana Marinova, Mariya Petrova Aleksandrova, Bozhidar I. Stefanov, Boriana Rangelova Tzaneva, Bharat Singh Rajpurohit, Narsa Reddy Tummuru, Stefan Valkov, P. Petrov, Yoshitaka Saito and Maria Ormanova. Their work appears in journals such as Electronics, Energies, Sensors, Polymers 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.

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