Yu. Ya. Tomka

81 total papers · 495 total citations
37 papers, 260 citations indexed

About

Yu. Ya. Tomka is a scholar working on Biomedical Engineering, Food Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu. Ya. Tomka has authored 37 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 17 papers in Food Science and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu. Ya. Tomka's work include Optical Polarization and Ellipsometry (27 papers), Advanced Scientific Research Methods (17 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Yu. Ya. Tomka is often cited by papers focused on Optical Polarization and Ellipsometry (27 papers), Advanced Scientific Research Methods (17 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Yu. Ya. Tomka collaborates with scholars based in Ukraine, China and United Kingdom. Yu. Ya. Tomka's co-authors include Yuriy Ushenko, Ye. G. Ushenko, Olexander V. Dubolazov, А. Г. Ушенко, Oleg V. Angelsky, V. P. Pishak, M. P. Gorsky, A. G. Ushenko, Igor Meglinski and Alexander Bykov and has published in prestigious journals such as Journal of Physics D Applied Physics, Journal of Biomedical Optics and Biomedical Optics Express.

In The Last Decade

Yu. Ya. Tomka

22 papers receiving 234 citations

Author Peers

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

Author						Papers	Cites
Yu. Ya. Tomka	242	98	91	70	32	37	260
Dimitry N. Burkovets	280 1.2×	115 1.2×	86 0.9×	102 1.5×	45 1.4×	29	330
A. G. Ushenko	200 0.8×	93 0.9×	73 0.8×	71 1.0×	19 0.6×	20	230
Jérémy Vizet	271 1.1×	10 0.1×	112 1.2×	98 1.4×	27 0.8×	23	302
J. Castro-Ramos	121 0.5×	7 0.1×	69 0.8×	89 1.3×	67 2.1×	44	297
V. P. Pishak	95 0.4×	37 0.4×	23 0.3×	31 0.4×	17 0.5×	48	147
N.V. Pashkovska	56 0.2×	25 0.3×	25 0.3×	22 0.3×	7 0.2×	47	116
Sebastián E. Godoy	85 0.4×	6 0.1×	13 0.1×	21 0.3×	36 1.1×	33	311
Yevgen Oberemok	120 0.5×	4 0.0×	36 0.4×	9 0.1×	25 0.8×	36	170
Georgina Sauzier	27 0.1×	6 0.1×	96 1.1×	40 0.6×	2 0.1×	34	290
Ashok Menon	31 0.1×	41 0.4×	2 0.0×	7 0.1×	47 1.5×	15	180

Countries citing papers authored by Yu. Ya. Tomka

Since Specialization

Citations

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

Fields of papers citing papers by Yu. Ya. Tomka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. Ya. Tomka. 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 Yu. Ya. Tomka. The network helps show where Yu. Ya. Tomka may publish in the future.

Co-authorship network of co-authors of Yu. Ya. Tomka

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. Ya. Tomka. A scholar is included among the top collaborators of Yu. Ya. Tomka 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 Yu. Ya. Tomka. Yu. Ya. Tomka 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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