М. С. Китай

46 total papers · 434 total citations
30 papers, 347 citations indexed

About

М. С. Китай is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, М. С. Китай has authored 30 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in М. С. Китай's work include Laser Applications in Dentistry and Medicine (7 papers), Terahertz technology and applications (6 papers) and Laser Material Processing Techniques (6 papers). М. С. Китай is often cited by papers focused on Laser Applications in Dentistry and Medicine (7 papers), Terahertz technology and applications (6 papers) and Laser Material Processing Techniques (6 papers). М. С. Китай collaborates with scholars based in Russia, United States and United Kingdom. М. С. Китай's co-authors include Emil N. Sobol, Alexander P. Sviridov, М. М. Назаров, A. P. Shkurinov, В. И. Соколов, A. A. Angeluts, Elena Fedulova, В. В. Соколов, Brian J. F. Wong and Thomas E. Milner and has published in prestigious journals such as Applied Surface Science, IEEE Journal of Quantum Electronics and Journal of Biomedical Optics.

In The Last Decade

М. С. Китай

30 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
М. С. Китай 118 93 92 66 49 30 347
Hamed Abbasi 94 0.8× 40 0.4× 81 0.9× 8 0.1× 16 0.3× 36 364
Y. Ogata 72 0.6× 32 0.3× 50 0.5× 19 0.3× 37 0.8× 30 389
Thomas Asshauer 103 0.9× 53 0.6× 88 1.0× 19 0.3× 5 0.1× 19 321
Robin A. Damion 93 0.8× 11 0.1× 119 1.3× 30 0.5× 26 0.5× 20 388
Lama Naji 34 0.3× 20 0.2× 58 0.6× 19 0.3× 73 1.5× 18 318
Thomas C. Hutchens 87 0.7× 87 0.9× 101 1.1× 42 0.6× 1 0.0× 38 340
Laurenţiu Rusen 24 0.2× 81 0.9× 137 1.5× 19 0.3× 1 0.0× 33 388
Lan Ma 37 0.3× 93 1.0× 60 0.7× 33 0.5× 4 0.1× 34 358
Sina Ebrahimi 14 0.1× 34 0.4× 220 2.4× 39 0.6× 6 0.1× 30 399
Rajesh Kumar 24 0.2× 56 0.6× 115 1.3× 46 0.7× 83 1.7× 25 335

Countries citing papers authored by М. С. Китай

Since Specialization
Citations

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

Fields of papers citing papers by М. С. Китай

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. С. Китай. 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 М. С. Китай. The network helps show where М. С. Китай may publish in the future.

Co-authorship network of co-authors of М. С. Китай

This figure shows the co-authorship network connecting the top 25 collaborators of М. С. Китай. A scholar is included among the top collaborators of М. С. Китай 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 М. С. Китай. М. С. Китай 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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