Dmytro Kundys

62 total papers · 2.1k total citations
35 papers, 1.2k citations indexed

About

Dmytro Kundys is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dmytro Kundys has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 19 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Dmytro Kundys's work include Photonic and Optical Devices (15 papers), Quantum Information and Cryptography (9 papers) and Advanced Fiber Optic Sensors (6 papers). Dmytro Kundys is often cited by papers focused on Photonic and Optical Devices (15 papers), Quantum Information and Cryptography (9 papers) and Advanced Fiber Optic Sensors (6 papers). Dmytro Kundys collaborates with scholars based in United Kingdom, France and China. Dmytro Kundys's co-authors include Peter G. R. Smith, Brian J. Smith, Ian A. Walmsley, Nicholas Thomas-Peter, James C. Gates, Benjamin J. Metcalf, W. Steven Kolthammer, Justin B. Spring, Xian‐Min Jin and Peter C. Humphreys and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Dmytro Kundys

33 papers receiving 1.2k citations

Hit Papers

Boson Sampling on a Photo... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Dmytro Kundys 774 741 583 127 89 35 1.2k
Sean D. Harrington 459 0.6× 661 0.9× 429 0.7× 141 1.1× 148 1.7× 22 1.0k
S. N. Dorenbos 395 0.5× 579 0.8× 579 1.0× 178 1.4× 95 1.1× 24 969
Jian Qin 950 1.2× 972 1.3× 527 0.9× 95 0.7× 109 1.2× 27 1.4k
S. M. Ulrich 566 0.7× 1.3k 1.8× 730 1.3× 140 1.1× 171 1.9× 27 1.4k
Xiaolong Hu 362 0.5× 521 0.7× 638 1.1× 226 1.8× 120 1.3× 74 1.0k
Alexander Carmele 645 0.8× 1.1k 1.4× 377 0.6× 98 0.8× 138 1.6× 65 1.2k
Vikas Anant 647 0.8× 934 1.3× 869 1.5× 264 2.1× 131 1.5× 23 1.4k
Yong-Heng Huo 640 0.8× 1.1k 1.5× 674 1.2× 245 1.9× 242 2.7× 53 1.4k
Xu Han 465 0.6× 1.2k 1.7× 811 1.4× 232 1.8× 57 0.6× 50 1.4k
Risheng Cheng 311 0.4× 765 1.0× 692 1.2× 179 1.4× 44 0.5× 21 1.0k

Countries citing papers authored by Dmytro Kundys

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Kundys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Kundys

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