М. А. Загребин

934 total citations
108 papers, 722 citations indexed

About

М. А. Загребин is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, М. А. Загребин has authored 108 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Electronic, Optical and Magnetic Materials, 68 papers in Materials Chemistry and 45 papers in Mechanical Engineering. Recurrent topics in М. А. Загребин's work include Shape Memory Alloy Transformations (53 papers), Heusler alloys: electronic and magnetic properties (52 papers) and Magnetic Properties and Applications (43 papers). М. А. Загребин is often cited by papers focused on Shape Memory Alloy Transformations (53 papers), Heusler alloys: electronic and magnetic properties (52 papers) and Magnetic Properties and Applications (43 papers). М. А. Загребин collaborates with scholars based in Russia, United States and Germany. М. А. Загребин's co-authors include V. D. Buchelnikov, V. V. Sokolovskiy, P. Entel, M. Ogura, Sanjubala Sahoo, Sergey Taskaev, E. Lähderanta, A. T. Zayak, B. Barbiellini and А. М. Балагуров and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Physical Review B.

In The Last Decade

М. А. Загребин

97 papers receiving 708 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
М. А. Загребин Russia 13 642 564 218 75 62 108 722
K-U Neumann United Kingdom 12 607 0.9× 618 1.1× 133 0.6× 65 0.9× 80 1.3× 17 749
Andreas Taubel Germany 14 934 1.5× 843 1.5× 186 0.9× 39 0.5× 200 3.2× 22 1.1k
Yajiu Zhang China 15 581 0.9× 468 0.8× 199 0.9× 209 2.8× 105 1.7× 34 702
Franziska Scheibel Germany 17 967 1.5× 814 1.4× 173 0.8× 46 0.6× 265 4.3× 39 1.1k
Yoshifuru Mitsui Japan 13 495 0.8× 249 0.4× 188 0.9× 93 1.2× 142 2.3× 79 595
Dimitri Benke Germany 7 638 1.0× 423 0.8× 55 0.3× 105 1.4× 169 2.7× 10 672
Abdiel Quetz United States 20 1.1k 1.7× 1.1k 2.0× 144 0.7× 35 0.5× 146 2.4× 50 1.2k
Y. V. Kudryavtsev Ukraine 10 238 0.4× 217 0.4× 77 0.4× 79 1.1× 34 0.5× 37 307
H. Y. Liu China 9 829 1.3× 783 1.4× 226 1.0× 81 1.1× 54 0.9× 14 899
G. H. Wu China 13 957 1.5× 1.0k 1.8× 225 1.0× 61 0.8× 46 0.7× 24 1.1k

Countries citing papers authored by М. А. Загребин

Since Specialization
Citations

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

Fields of papers citing papers by М. А. Загребин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. А. Загребин. 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 М. А. Загребин. The network helps show where М. А. Загребин may publish in the future.

Co-authorship network of co-authors of М. А. Загребин

This figure shows the co-authorship network connecting the top 25 collaborators of М. А. Загребин. A scholar is included among the top collaborators of М. А. Загребин 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 М. А. Загребин. М. А. Загребин is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Шишкин, Д. А., М. А. Загребин, V. V. Sokolovskiy, et al.. (2024). Magnetization and phase transformation in Fe-Ga and Fe-Ge alloys. Journal of Magnetism and Magnetic Materials. 610. 172523–172523. 2 indexed citations
2.
Загребин, М. А., et al.. (2024). Thermoelectric Properties of Double Half-Heusler Ti2MnNiSi2 Alloy. The Physics of Metals and Metallography. 125(14). 1885–1893.
3.
Загребин, М. А., et al.. (2023). Electronic Properties of Mn3Z (Z = Ga, Ge) Alloys: Studies from First Principles. Bulletin of the Russian Academy of Sciences Physics. 87(4). 416–419. 3 indexed citations
4.
Загребин, М. А., et al.. (2023). The Effect of Doping with Al on the Stability of D03 and L12 Phases in Fe73.44(Ga,Al)26.56 Alloys: Ab Initio Calculation and Monte Carlo Modeling. Физика металлов и металловедение. 124(1). 98–105.
5.
Sokolovskiy, V. V., М. А. Загребин, & V. D. Buchelnikov. (2023). Magnetocaloric Effect of Mn<sub>2</sub>YSn (Y = Sc, Ti, V) Alloys. Физика металлов и металловедение. 124(11). 1122–1128. 1 indexed citations
6.
Загребин, М. А., et al.. (2023). The Effect of Doping with Al on the Stability of D03 and L12 Phases in Fe73.44(Ga,Al)26.56 Alloys: Ab Initio Calculation and Monte Carlo Modeling. The Physics of Metals and Metallography. 124(1). 94–100. 1 indexed citations
7.
Buchelnikov, V. D., et al.. (2021). Prediction of a Heusler alloy with switchable metal-to-half-metal behavior. Physical review. B.. 103(5). 10 indexed citations
8.
Buchelnikov, V. D., V. V. Sokolovskiy, М. А. Загребин, et al.. (2021). Design of a Stable Heusler Alloy with Switchable Metal‐to‐Half‐Metal Transition at Finite Temperature. Advanced Theory and Simulations. 4(11). 5 indexed citations
9.
Загребин, М. А., et al.. (2021). FIRST-PRINCIPLES STUDIES OF THE PHASE TRANSITIONS IN Fe-Si ALLOYS. Электронный архив ЮУрГУ (South Ural State University). 13(1). 52–58.
10.
Sokolovskiy, V. V., et al.. (2021). A Ternary Map of Ni–Mn–Ga Heusler Alloys from Ab Initio Calculations. Metals. 11(6). 973–973. 8 indexed citations
11.
Sokolovskiy, V. V., М. А. Загребин, B. Barbiellini, et al.. (2020). Electronic structure beyond the generalized gradient approximation for Ni2MnGa. Physical review. B.. 102(4). 14 indexed citations
12.
Sokolovskiy, V. V., et al.. (2020). Prediction of giant magnetocaloric effect in Ni40Co10Mn36Al14 Heusler alloys: An insight from ab initio and Monte Carlo calculations. Journal of Applied Physics. 127(16). 8 indexed citations
13.
Загребин, М. А., et al.. (2019). Phase transitions in Fe3Al-based alloys: ab initio study. Phase Transitions. 93(1). 43–53.
14.
Sokolovskiy, V. V., et al.. (2018). Phase Transitions in Ni(Co)-Mn-Sn Heusler Alloys: First-Principles Study. Materials research proceedings. 9. 98–103. 2 indexed citations
15.
Загребин, М. А., V. V. Sokolovskiy, & V. D. Buchelnikov. (2018). Phenomenological analysis of thermal hysteresis in Ni-Mn-Ga Heusler alloys. Phase Transitions. 91(5). 469–476. 1 indexed citations
16.
Загребин, М. А., et al.. (2018). Phase diagram of magnetostrictive Fe-Ga alloys: insights from theory and experiment. Phase Transitions. 92(2). 101–116. 39 indexed citations
17.
Sokolovskiy, V. V., М. А. Загребин, V. D. Buchelnikov, & P. Entel. (2018). The Effect of Anti-Site Disorder on Structural and Magnetic Properties of Ni–Co–Mn–In Alloys: <italic>Ab Initio</italic> and Monte Carlo Studies. IEEE Transactions on Magnetics. 54(11). 1–5. 5 indexed citations
18.
Buchelnikov, V. D., V. V. Sokolovskiy, & М. А. Загребин. (2016). Phase Transitions, Critical and Nonlinear Phenomena in Condensed Matter. Trans Tech Publications Ltd. eBooks.
19.
Buchelnikov, V. D., et al.. (2013). Investigations of crystal and magnetic properties of Fe-Mn-Al alloys from first principles calculations. Bulletin of Chelyabinsk State University. 2 indexed citations
20.
Загребин, М. А., V. V. Sokolovskiy, & V. D. Buchelnikov. (2011). Investigation of magnetic properties of Ni-Mn-Ga Heusler alloys with the help of ab initio calculations. Bulletin of Chelyabinsk State University. 1 indexed citations

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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