Maya Marinova

134 total papers · 988 total citations
75 papers, 788 citations indexed

About

Maya Marinova is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Maya Marinova has authored 75 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 23 papers in Materials Chemistry and 19 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Maya Marinova's work include Silicon Carbide Semiconductor Technologies (31 papers), Semiconductor materials and interfaces (17 papers) and Semiconductor materials and devices (16 papers). Maya Marinova is often cited by papers focused on Silicon Carbide Semiconductor Technologies (31 papers), Semiconductor materials and interfaces (17 papers) and Semiconductor materials and devices (16 papers). Maya Marinova collaborates with scholars based in France, Greece and Bulgaria. Maya Marinova's co-authors include A. Barthélémy, Cécile Carrétéro, Alexandre Gloter, Manuel Bibès, Vincent Garcia, Stéphane Xavier, C. Deranlot, Sören Boyn, S. Fusil and Hiroyuki Yamada and has published in prestigious journals such as Nano Letters, ACS Nano and Journal of The Electrochemical Society.

In The Last Decade

Maya Marinova

70 papers receiving 781 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maya Marinova	399	355	249	109	101	75	788
Yi Chen	298 0.7×	549 1.5×	259 1.0×	48 0.4×	148 1.5×	61	891
Toru Matsushita	253 0.6×	558 1.6×	173 0.7×	105 1.0×	135 1.3×	55	795
Akio Fuwa	307 0.8×	371 1.0×	138 0.6×	89 0.8×	128 1.3×	73	690
Peng Cui	289 0.7×	227 0.6×	137 0.6×	84 0.8×	79 0.8×	63	659
Jianxin Wu	317 0.8×	265 0.7×	119 0.5×	52 0.5×	73 0.7×	55	622
Hyunsoo Lee	310 0.8×	379 1.1×	242 1.0×	63 0.6×	119 1.2×	42	702
L. G. Bulusheva	249 0.6×	501 1.4×	227 0.9×	62 0.6×	100 1.0×	63	734
Rachana Kumar	319 0.8×	331 0.9×	78 0.3×	126 1.2×	100 1.0×	60	645
Vladimir Blagojević	189 0.5×	348 1.0×	113 0.5×	146 1.3×	73 0.7×	89	646
Xiaohang Lin	456 1.1×	359 1.0×	190 0.8×	79 0.7×	68 0.7×	57	861

Countries citing papers authored by Maya Marinova

Since Specialization

Citations

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

Fields of papers citing papers by Maya Marinova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Marinova

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

All Works

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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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