Valentin Stanev

1.8k citations
39 papers · 1.0k indexed · h-index 17

Impact in

Papers in

Valentin Stanev

37 papers receiving 995 citations

Peers

Valentin Stanev
Comparison fields: 5 of 85
  • Condensed Matter Physics 595
  • Electronic, Optical and Magnetic Materials 570
  • Computational Mathematics 14
  • Accounting 110
  • Atomic and Molecular Physics, and Optics 174
Replace Qisi Wang with:
Qisi Wang China
D. L. Feng China
Jiajing Tu China
Gonzalo Álvarez United States
Jared O’Neal United States
Jiansheng Wu China
Dan Xu China
Liang‐Jian Zou China
Valentin Stanev relative to Qisi Wang China Qisi Wang's profile →
Citations per field
00.5×1.5×
Qisi Wang · 1×
Citations per year

Countries citing papers authored by Valentin Stanev

Since Specialization
Citations

This map shows the geographic impact of Valentin Stanev'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 Stanev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Stanev more than expected).

Fields of papers citing papers by Valentin Stanev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Stanev. 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 Stanev. The network helps show where Valentin Stanev may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Valentin Stanev, 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 Stanev Line = papers co-authored together Valentin Stanev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20243
4 20242
5 20235
6 20232
7 20231
8 202217
9 20221
10 202148
11 201937
12 201995
13 20198
14 20187
15 201418
16 201325
17
BaFe 2 (As 1-x P x ) 2 単結晶の比熱のドーピング依存性
20129
18 20122
19 201223
20 2009178

About Valentin Stanev

Valentin Stanev is a scholar working on Computational Mathematics, Condensed Matter Physics, Structural Biology, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (17 papers), Iron-based superconductors research (12 papers), Machine Learning in Materials Science (8 papers), Superconductivity in MgB2 and Alloys (5 papers), Advanced Condensed Matter Physics (5 papers), Rare-earth and actinide compounds (5 papers), Topological Materials and Phenomena (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Condensed Matter Physics (595 citations), Electronic, Optical and Magnetic Materials (570 citations), Computational Mathematics (14 citations), Accounting (110 citations) and Atomic and Molecular Physics, and Optics (174 citations). Valentin Stanev has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Zlatko Tešanović, Victor Galitski, Ichiro Takeuchi, Jian Kang, A. Gilad Kusne, A. E. Koshelev, C. Broholm, Yusheng Zhao, Sung‐A Chang and Zhiqiang Mao. Their work appears in journals such as Physical Review B, Physical Review Letters, Scientific Reports, Journal of the American Society for Mass Spectrometry and npj Computational Materials.

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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