Mikas Remeika

43 total papers · 1.0k total citations
20 papers, 798 citations indexed

About

Mikas Remeika is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Mikas Remeika has authored 20 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Materials Chemistry. Recurrent topics in Mikas Remeika's work include Semiconductor Quantum Structures and Devices (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Mikas Remeika is often cited by papers focused on Semiconductor Quantum Structures and Devices (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Mikas Remeika collaborates with scholars based in United States, Japan and Russia. Mikas Remeika's co-authors include Yabing Qi, L. V. Butov, M. Hanson, Sonia R. Raga, Luis K. Ono, Alexey Bezryadin, Alexander A. High, A. C. Gossard, Andrew Winchester and Atsushi Gabe and has published in prestigious journals such as Physical Review Letters, Nano Letters and Journal of Applied Physics.

In The Last Decade

Mikas Remeika

20 papers receiving 787 citations

Author Peers

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

Author Last Decade Papers Cites
Mikas Remeika 489 351 291 164 100 20 798
Saban M. Hus 442 0.9× 501 1.4× 181 0.6× 45 0.3× 36 0.4× 25 764
David A. Valverde-Chávez 699 1.4× 522 1.5× 192 0.7× 153 0.9× 23 0.2× 14 815
Kasra Sardashti 826 1.7× 722 2.1× 272 0.9× 35 0.2× 53 0.5× 36 1.0k
Abdullah Al‐Mahboob 538 1.1× 791 2.3× 241 0.8× 34 0.2× 39 0.4× 35 1.0k
Dovletgeldi Seyitliyev 838 1.7× 518 1.5× 171 0.6× 281 1.7× 35 0.3× 20 936
Sameer Grover 299 0.6× 752 2.1× 329 1.1× 38 0.2× 64 0.6× 20 900
Keisuke Shinokita 688 1.4× 630 1.8× 232 0.8× 88 0.5× 19 0.2× 44 913
Huifang Ji 841 1.7× 715 2.0× 148 0.5× 92 0.6× 34 0.3× 20 917
Jingsheng Huang 633 1.3× 378 1.1× 134 0.5× 132 0.8× 40 0.4× 29 703
Lizhu Ren 344 0.7× 327 0.9× 366 1.3× 44 0.3× 109 1.1× 39 738

Countries citing papers authored by Mikas Remeika

Since Specialization
Citations

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

Fields of papers citing papers by Mikas Remeika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikas Remeika

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