Н. К. Чемерис

68 total papers · 436 total citations
47 papers, 361 citations indexed

About

Н. К. Чемерис is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Н. К. Чемерис has authored 47 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 14 papers in Cardiology and Cardiovascular Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Н. К. Чемерис's work include Heart Rate Variability and Autonomic Control (12 papers), Thermoregulation and physiological responses (10 papers) and Infrared Thermography in Medicine (10 papers). Н. К. Чемерис is often cited by papers focused on Heart Rate Variability and Autonomic Control (12 papers), Thermoregulation and physiological responses (10 papers) and Infrared Thermography in Medicine (10 papers). Н. К. Чемерис collaborates with scholars based in Russia, Belarus and Mozambique. Н. К. Чемерис's co-authors include A. B. Gapeyev, Arina V. Tankanag, V.N. Kazachenko, Е. Е. Фесенко, Alexei Gapeev, Е. Е. Фесенко, В. Г. Сафронова, Oleg Aslanidi, В. Б. Садовников and Э. Н. Гахова and has published in prestigious journals such as Brain Research, FEBS Letters and Bioelectromagnetics.

In The Last Decade

Н. К. Чемерис

43 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
Н. К. Чемерис	147	126	92	64	51	47	361
A. B. Gapeyev	147 1.0×	59 0.5×	76 0.8×	62 1.0×	5 0.1×	40	347
В. Г. Сафронова	55 0.4×	68 0.5×	34 0.4×	141 2.2×	17 0.3×	45	374
Yahya Akyel	227 1.5×	83 0.7×	120 1.3×	37 0.6×	2 0.0×	20	364
Serkan Gürgül	66 0.4×	74 0.6×	26 0.3×	100 1.6×	36 0.7×	32	353
Konstantin Korotkov	31 0.2×	130 1.0×	23 0.3×	15 0.2×	44 0.9×	40	319
Guangzhou An	131 0.9×	60 0.5×	46 0.5×	47 0.7×	2 0.0×	20	327
Norio Kawai	26 0.2×	68 0.5×	41 0.4×	134 2.1×	42 0.8×	30	351
Giada Bianchetti	17 0.1×	100 0.8×	37 0.4×	143 2.2×	19 0.4×	35	391
J Kobilková	59 0.4×	97 0.8×	27 0.3×	75 1.2×	13 0.3×	45	332
Xiaoliang Li	44 0.3×	21 0.2×	39 0.4×	143 2.2×	26 0.5×	24	383

Countries citing papers authored by Н. К. Чемерис

Since Specialization

Citations

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

Fields of papers citing papers by Н. К. Чемерис

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Н. К. Чемерис. 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 Н. К. Чемерис. The network helps show where Н. К. Чемерис may publish in the future.

Co-authorship network of co-authors of Н. К. Чемерис

This figure shows the co-authorship network connecting the top 25 collaborators of Н. К. Чемерис. A scholar is included among the top collaborators of Н. К. Чемерис 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 Н. К. Чемерис. Н. К. Чемерис 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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