Dzmitry Melnikau

39 total papers · 995 total citations
21 papers, 719 citations indexed

About

Dzmitry Melnikau is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Dzmitry Melnikau has authored 21 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 8 papers in Materials Chemistry and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Dzmitry Melnikau's work include Spectroscopy and Quantum Chemical Studies (12 papers), Strong Light-Matter Interactions (9 papers) and Quantum Dots Synthesis And Properties (8 papers). Dzmitry Melnikau is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (12 papers), Strong Light-Matter Interactions (9 papers) and Quantum Dots Synthesis And Properties (8 papers). Dzmitry Melnikau collaborates with scholars based in Spain, Russia and Ireland. Dzmitry Melnikau's co-authors include Yury P. Rakovich, Diana Savateeva, Andrey L. Rogach, Andrey Chuvilin, Petr Král, Kyle W. Smith, Bongjun Yeom, Jihyeon Yeom, Sergio Domínguez-Medina and Joong Hwan Bahng and has published in prestigious journals such as Nature Materials, Nano Letters and Journal of Materials Chemistry.

In The Last Decade

Dzmitry Melnikau

21 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
Dzmitry Melnikau 377 205 200 199 165 21 719
Minjeong Cha 283 0.8× 188 0.9× 269 1.3× 102 0.5× 334 2.0× 19 783
Maria Mukhina 413 1.1× 151 0.7× 131 0.7× 110 0.6× 150 0.9× 21 648
Pradip Kumar Ghorai 434 1.2× 236 1.2× 95 0.5× 154 0.8× 145 0.9× 21 807
Elba Gomar‐Nadal 307 0.8× 235 1.1× 172 0.9× 135 0.7× 368 2.2× 18 735
Yae‐Chan Lim 303 0.8× 444 2.2× 292 1.5× 146 0.7× 109 0.7× 15 730
O. Karthaus 459 1.2× 229 1.1× 166 0.8× 91 0.5× 158 1.0× 23 866
Omri Bar‐Elli 428 1.1× 346 1.7× 288 1.4× 167 0.8× 343 2.1× 13 839
Wen Hu 274 0.7× 168 0.8× 153 0.8× 171 0.9× 194 1.2× 19 693
Kalil Bernardino 308 0.8× 244 1.2× 175 0.9× 92 0.5× 53 0.3× 24 697
Di Tian 427 1.1× 166 0.8× 127 0.6× 130 0.7× 155 0.9× 20 692

Countries citing papers authored by Dzmitry Melnikau

Since Specialization
Citations

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

Fields of papers citing papers by Dzmitry Melnikau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dzmitry Melnikau

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