Yu. Ya. Macheret

57 total papers · 997 total citations
44 papers, 755 citations indexed

About

Yu. Ya. Macheret is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine and Management, Monitoring, Policy and Law. According to data from OpenAlex, Yu. Ya. Macheret has authored 44 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atmospheric Science, 17 papers in Pulmonary and Respiratory Medicine and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Yu. Ya. Macheret's work include Cryospheric studies and observations (43 papers), Climate change and permafrost (28 papers) and Arctic and Antarctic ice dynamics (21 papers). Yu. Ya. Macheret is often cited by papers focused on Cryospheric studies and observations (43 papers), Climate change and permafrost (28 papers) and Arctic and Antarctic ice dynamics (21 papers). Yu. Ya. Macheret collaborates with scholars based in Russia, Spain and Uzbekistan. Yu. Ya. Macheret's co-authors include A. F. Glazovsky, E.V. Vasilenko, Francisco Navarro, Beatriz Benjumea, Julian A. Dowdeswell, Ivan Lavrentiev, Michael R. Gorman, Javier Lapazaran, Teresa Teixidó and Jaime Otero and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and International Journal of Remote Sensing.

In The Last Decade

Yu. Ya. Macheret

42 papers receiving 716 citations

Author Peers

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

Author						Papers	Cites
Yu. Ya. Macheret	697	303	169	108	47	44	755
Colin Meyer	462 0.7×	204 0.7×	194 1.1×	87 0.8×	32 0.7×	49	628
Uwe Nixdorf	620 0.9×	218 0.7×	165 1.0×	89 0.8×	52 1.1×	44	693
Florence Magnin	725 1.0×	413 1.4×	104 0.6×	25 0.2×	37 0.8×	45	805
Kirsty Langley	751 1.1×	189 0.6×	194 1.1×	58 0.5×	23 0.5×	46	854
Winnie Chu	720 1.0×	301 1.0×	302 1.8×	17 0.2×	29 0.6×	29	773
Philip R. Porter	623 0.9×	315 1.0×	141 0.8×	27 0.3×	25 0.5×	24	690
P. Kanagaratnam	655 0.9×	187 0.6×	199 1.2×	29 0.3×	19 0.4×	25	764
Daniel Draebing	560 0.8×	467 1.5×	32 0.2×	36 0.3×	59 1.3×	31	660
Luc Girod	512 0.7×	205 0.7×	142 0.8×	31 0.3×	33 0.7×	29	644
Robert Kenner	754 1.1×	577 1.9×	34 0.2×	44 0.4×	38 0.8×	33	895

Countries citing papers authored by Yu. Ya. Macheret

Since Specialization

Citations

This map shows the geographic impact of Yu. Ya. Macheret'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. Macheret 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. Macheret more than expected).

Fields of papers citing papers by Yu. Ya. Macheret

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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