Y. S. Djikaev

89 total papers · 1.5k total citations
67 papers, 1.1k citations indexed

About

Y. S. Djikaev is a scholar working on Atmospheric Science, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Y. S. Djikaev has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Atmospheric Science, 23 papers in Atomic and Molecular Physics, and Optics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Y. S. Djikaev's work include nanoparticles nucleation surface interactions (40 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers) and Spectroscopy and Quantum Chemical Studies (19 papers). Y. S. Djikaev is often cited by papers focused on nanoparticles nucleation surface interactions (40 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers) and Spectroscopy and Quantum Chemical Studies (19 papers). Y. S. Djikaev collaborates with scholars based in United States, Canada and Russia. Y. S. Djikaev's co-authors include Eli Ruckenstein, Howard Reiss, A. Tabazadeh, Richard K. Bowles, Patrick Hamill, David Reguera, D. J. Donaldson, Ari Laaksonen, Ф. М. Куни and А. П. Гринин and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Geophysical Research Atmospheres.

In The Last Decade

Y. S. Djikaev

67 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Y. S. Djikaev	760	331	246	237	219	67	1.1k
Laura Lupi	668 0.9×	423 1.3×	75 0.3×	390 1.6×	114 0.5×	28	1.3k
Hiroki Nada	691 0.9×	496 1.5×	103 0.4×	327 1.4×	60 0.3×	49	1.4k
Ján Hrubý	403 0.5×	262 0.8×	133 0.5×	190 0.8×	83 0.4×	84	1.1k
E. N. Brodskaya	349 0.5×	330 1.0×	92 0.4×	566 2.4×	40 0.2×	103	1.3k
Sapna Sarupria	267 0.4×	436 1.3×	34 0.1×	357 1.5×	130 0.6×	49	1.4k
Richard A. Craig	167 0.2×	140 0.4×	84 0.3×	263 1.1×	88 0.4×	73	1.1k
Harshad Pathak	389 0.5×	668 2.0×	90 0.4×	340 1.4×	61 0.3×	28	1.1k
Kenji Mochizuki	216 0.3×	362 1.1×	45 0.2×	193 0.8×	48 0.2×	92	1.3k
Judith Wölk	1.1k 1.5×	377 1.1×	419 1.7×	476 2.0×	76 0.3×	26	1.3k
Amir Haji‐Akbari	281 0.4×	682 2.1×	96 0.4×	175 0.7×	28 0.1×	31	1.2k

Countries citing papers authored by Y. S. Djikaev

Since Specialization

Citations

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

Fields of papers citing papers by Y. S. Djikaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. S. Djikaev

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