Ivan P. Levkivskyi

47 total papers · 1.4k total citations
26 papers, 529 citations indexed

About

Ivan P. Levkivskyi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ivan P. Levkivskyi has authored 26 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Ivan P. Levkivskyi's work include Quantum and electron transport phenomena (21 papers), Quantum Information and Cryptography (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Ivan P. Levkivskyi is often cited by papers focused on Quantum and electron transport phenomena (21 papers), Quantum Information and Cryptography (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Ivan P. Levkivskyi collaborates with scholars based in Switzerland, Ukraine and United States. Ivan P. Levkivskyi's co-authors include Eugene V. Sukhorukov, Bertrand I. Halperin, Bernd Rosenow, A. O. Slobodeniuk, Alexey Boyarsky, Jürg Fröhlich, Jürg Fröhlich, Oded Zilberberg, Tobias Wolf and Patrycja Paruch and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Ivan P. Levkivskyi

26 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan P. Levkivskyi 502 175 151 132 58 26 529
F. Malet 473 0.9× 57 0.3× 94 0.6× 80 0.6× 52 0.9× 31 493
Roman-Pascal Riwar 515 1.0× 127 0.7× 208 1.4× 110 0.8× 65 1.1× 27 548
L. Tosi 540 1.1× 128 0.7× 235 1.6× 113 0.9× 73 1.3× 24 551
Mohammad K. Elsaid 456 0.9× 57 0.3× 48 0.3× 108 0.8× 99 1.7× 48 478
Kirill G. Fedorov 441 0.9× 312 1.8× 86 0.6× 69 0.5× 30 0.5× 34 565
Michele Filippone 456 0.9× 137 0.8× 109 0.7× 101 0.8× 40 0.7× 31 494
Lukas Grünhaupt 455 0.9× 181 1.0× 247 1.6× 106 0.8× 28 0.5× 17 548
Valentina Brosco 460 0.9× 171 1.0× 108 0.7× 109 0.8× 101 1.7× 34 517
Kyle Serniak 476 0.9× 288 1.6× 150 1.0× 66 0.5× 57 1.0× 24 617
Zi-Xiang Hu 431 0.9× 87 0.5× 157 1.0× 70 0.5× 111 1.9× 41 451

Countries citing papers authored by Ivan P. Levkivskyi

Since Specialization
Citations

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

Fields of papers citing papers by Ivan P. Levkivskyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan P. Levkivskyi. 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 Ivan P. Levkivskyi. The network helps show where Ivan P. Levkivskyi may publish in the future.

Co-authorship network of co-authors of Ivan P. Levkivskyi

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

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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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