Yu. Ya. Macheret

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, Uzbekistan and Spain. 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, Teresa Teixidó, Jaime Otero and Javier Lapazaran 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 718 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu. Ya. Macheret Russia 17 696 301 169 108 47 44 755
Joel Brown United States 12 552 0.8× 250 0.8× 188 1.1× 64 0.6× 37 0.8× 15 617
Ola Brandt Norway 13 441 0.6× 150 0.5× 67 0.4× 57 0.5× 19 0.4× 17 496
V. B. Spikes United States 12 759 1.1× 218 0.7× 264 1.6× 40 0.4× 31 0.7× 19 795
Cameron Lewis United States 10 554 0.8× 224 0.7× 195 1.2× 24 0.2× 16 0.3× 14 600
Patricia Vornberger United States 18 1.1k 1.5× 426 1.4× 595 3.5× 19 0.2× 29 0.6× 29 1.1k
I. Roer Switzerland 8 635 0.9× 331 1.1× 54 0.3× 26 0.2× 14 0.3× 10 670
Jordan Mertes United Kingdom 12 360 0.5× 121 0.4× 155 0.9× 21 0.2× 16 0.3× 15 434
Yushin Ahn United States 13 845 1.2× 150 0.5× 368 2.2× 16 0.1× 13 0.3× 30 889
J. W. Sanders United States 9 303 0.4× 221 0.7× 43 0.3× 29 0.3× 86 1.8× 13 398
Kathryn C. Rose United Kingdom 12 497 0.7× 201 0.7× 181 1.1× 14 0.1× 46 1.0× 18 525

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

20 of 20 papers shown
1.
Macheret, Yu. Ya., A. F. Glazovsky, E.V. Vasilenko, Ivan Lavrentiev, & Vladimir V Matskovsky. (2022). Comparison of Hydrothermal Structure of Two Glaciers in Spitsbergen and Tian Shan Based on Radio-Echo Sounding Data. Water Resources. 49(S1). S69–S79.
2.
Macheret, Yu. Ya., A. F. Glazovsky, E.V. Vasilenko, Ivan Lavrentiev, & Vladimir V Matskovsky. (2021). СРАВНЕНИЕ ГИДРОТЕРМИЧЕСКОЙ СТРУКТУРЫ ДВУХ ЛЕДНИКОВ ШПИЦБЕРГЕНА И ТЯНЬ-ШАНЯ ПО ДАННЫМ РАДИОЗОНДИРОВАНИЯ. Journal Ice and Snow. 61(2). 165–178.
3.
Macheret, Yu. Ya., A. F. Glazovsky, & Ivan Lavrentiev. (2019). Distribution of cold and temperate ice and water in glaciers at Nordenskiöld Land, Svalbard, according to data on ground-based radio-echo sounding. 17(1). 77–90. 2 indexed citations
4.
Willis, M. J., M. E. Pritchard, J. M. Ramage, et al.. (2018). Massive destabilization of an Arctic ice cap. Earth and Planetary Science Letters. 502. 146–155. 32 indexed citations
5.
Lavrentiev, Ivan, et al.. (2018). SNOW THICKNESS ON AUSTRE GRØNFJORDBREEN, SVALBARD, FROM RADAR MEASUREMENTS AND STANDARD SNOW SURVEYS. Journal Ice and Snow. 58(1). 5–20. 3 indexed citations
6.
Kotlyakov, V. M., et al.. (2017). Speed of radio wave propagation in dry and wet snow. Journal Ice and Snow. 57(1). 45–56. 5 indexed citations
7.
Kotlyakov, V. M. & Yu. Ya. Macheret. (2016). Fifty years of geophysical researches of glaciers in Institute of Geography, the Russian Academy of Sciences, 1966–2016. Journal Ice and Snow. 56(4). 561–574. 2 indexed citations
8.
Macheret, Yu. Ya., et al.. (2015). Fluctuations of ice cover and sea water pressure nearby the Tunabreen Glacier front at Spitsbergen. Journal Ice and Snow. 124(4). 119–119. 3 indexed citations
9.
Macheret, Yu. Ya., Stanislav Kutuzov, Vladimir V Matskovsky, & Ivan Lavrentiev. (2015). On the estimation of ice volume of alpine glaciers. Journal Ice and Snow. 121(1). 5–5. 7 indexed citations
10.
Vasilenko, E.V., A. F. Glazovsky, Ivan Lavrentiev, & Yu. Ya. Macheret. (2015). Changes of hydrothermal structure of Austre Grønfjordbreen and Fridtjovbreen Glaciers in Svalbard. Journal Ice and Snow. 125(1). 5–5. 5 indexed citations
11.
Valero, Francisco, et al.. (2013). Ice volume estimates from ground-penetrating radar surveys, western Nordenskiöld Land glaciers, Svalbard. Frontiers in Psychology. 13. 905277–905277. 1 indexed citations
12.
Lavrentiev, Ivan, Stanislav Kutuzov, E.V. Vasilenko, & Yu. Ya. Macheret. (2013). Radio-echo sounding of Caucasus glaciers. EGUGA. 1 indexed citations
13.
Navarro, Francisco, Yu. Ya. Macheret, & Beatriz Benjumea. (2005). Application of radar and seismic methods for the investigation of temperate glaciers. Journal of Applied Geophysics. 57(3). 193–211. 48 indexed citations
14.
Dowdeswell, Julian A., Michael R. Gorman, M. J. Williams, et al.. (2002). Form and flow of the Academy of Sciences Ice Cap, Severnaya Zemlya, Russian High Arctic. Journal of Geophysical Research Atmospheres. 107(B4). 55 indexed citations
15.
Macheret, Yu. Ya. & A. F. Glazovsky. (2000). Estimation of absolute water content in Spitsbergen glaciers from radar sounding data. Polar Research. 19(2). 205–216. 20 indexed citations
16.
Macheret, Yu. Ya., et al.. (1993). Velocity of radio waves in glaciers as an indicator of their hydrothermal state, structure and regime. Journal of Glaciology. 39(132). 373–384. 23 indexed citations
17.
Macheret, Yu. Ya., et al.. (1993). Velocity of radio waves in glaciers as an indicator of their hydrothermal state, structure and regime. Journal of Glaciology. 39(132). 373–384. 95 indexed citations
18.
Dowdeswell, Julian A., et al.. (1993). Digital comparison of high resolution Sojuzkarta KFA-1000 imagery of ice masses with Landsat and SPOT data. Annals of Glaciology. 17. 105–112. 5 indexed citations
19.
Macheret, Yu. Ya.. (1981). Forms of Glacial Relief of Spitsbergen Glaciers. Annals of Glaciology. 2. 45–51. 13 indexed citations
20.
Macheret, Yu. Ya., et al.. (1975). Interpretation of Radio-Echo Sounding Data on a Temperate Mountain Glacier from its Surface. Journal of Glaciology. 15(73). 472–472. 1 indexed citations

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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