S. Miasojedovas

75 total papers · 646 total citations
59 papers, 536 citations indexed

About

S. Miasojedovas is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, S. Miasojedovas has authored 59 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Condensed Matter Physics, 28 papers in Atomic and Molecular Physics, and Optics and 28 papers in Materials Chemistry. Recurrent topics in S. Miasojedovas's work include GaN-based semiconductor devices and materials (39 papers), Semiconductor Quantum Structures and Devices (23 papers) and ZnO doping and properties (20 papers). S. Miasojedovas is often cited by papers focused on GaN-based semiconductor devices and materials (39 papers), Semiconductor Quantum Structures and Devices (23 papers) and ZnO doping and properties (20 papers). S. Miasojedovas collaborates with scholars based in Lithuania, United States and Japan. S. Miasojedovas's co-authors include Saulius Juršėnas, Patrik Ščajev, K. Jarašiūnas, A. Žukauskas, R. Aleksiejūnas, T. Malinauskas, G. Kurilčik, Chihaya Adachi, Toshinori Matsushima and Chuanjiang Qin and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

S. Miasojedovas

53 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
S. Miasojedovas	289	286	248	195	121	59	536
F. Sacconi	364 1.3×	227 0.8×	268 1.1×	281 1.4×	84 0.7×	41	577
Yibo Liu	250 0.9×	254 0.9×	297 1.2×	120 0.6×	146 1.2×	56	534
Zhu Diao	234 0.8×	183 0.6×	166 0.7×	288 1.5×	181 1.5×	49	592
N. Furukawa	163 0.6×	208 0.7×	263 1.1×	121 0.6×	158 1.3×	41	546
A. Fouzri	227 0.8×	355 1.2×	115 0.5×	124 0.6×	184 1.5×	40	506
Yu. S. Ponosov	162 0.6×	421 1.5×	161 0.6×	174 0.9×	137 1.1×	66	615
X.Z. Xu	195 0.7×	273 1.0×	206 0.8×	206 1.1×	154 1.3×	35	533
R. K. Rakshit	224 0.8×	265 0.9×	117 0.5×	152 0.8×	211 1.7×	41	526
Yoichi Kawakami	240 0.8×	267 0.9×	208 0.8×	173 0.9×	101 0.8×	31	560
Peixian Li	174 0.6×	192 0.7×	304 1.2×	81 0.4×	188 1.6×	68	535

Countries citing papers authored by S. Miasojedovas

Since Specialization

Citations

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

Fields of papers citing papers by S. Miasojedovas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Miasojedovas

This figure shows the co-authorship network connecting the top 25 collaborators of S. Miasojedovas. A scholar is included among the top collaborators of S. Miasojedovas 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 S. Miasojedovas. S. Miasojedovas 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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