Igor Drobyshev

3.9k total citations · 1 hit paper
108 papers, 2.6k citations indexed

About

Igor Drobyshev is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Igor Drobyshev has authored 108 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Global and Planetary Change, 74 papers in Atmospheric Science and 41 papers in Nature and Landscape Conservation. Recurrent topics in Igor Drobyshev's work include Tree-ring climate responses (66 papers), Fire effects on ecosystems (57 papers) and Plant Water Relations and Carbon Dynamics (47 papers). Igor Drobyshev is often cited by papers focused on Tree-ring climate responses (66 papers), Fire effects on ecosystems (57 papers) and Plant Water Relations and Carbon Dynamics (47 papers). Igor Drobyshev collaborates with scholars based in Sweden, Canada and United States. Igor Drobyshev's co-authors include Mats Niklasson, Yves Bergeron, Kerstin Sonesson, Yves Bergeron, Hans W. Linderholm, Hans Linderson, Martin P. Girardin, Davide Ascoli, Marco Turco and Andrew Hacket‐Pain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Igor Drobyshev

107 papers receiving 2.5k citations

Hit Papers

Inter-annual and decadal changes in teleconnections drive... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Drobyshev Sweden 30 1.8k 1.2k 978 547 359 108 2.6k
Gianluca Piovesan Italy 34 2.0k 1.1× 1.7k 1.4× 1.8k 1.9× 633 1.2× 500 1.4× 106 3.4k
Glenn P. Juday United States 22 2.5k 1.4× 2.0k 1.7× 1.9k 2.0× 1.1k 2.1× 225 0.6× 40 4.3k
Matts Lindbladh Sweden 31 1.1k 0.6× 713 0.6× 920 0.9× 528 1.0× 1.1k 3.0× 64 2.4k
Stephen F. Arno United States 25 1.7k 0.9× 663 0.5× 1.1k 1.1× 1.1k 2.1× 218 0.6× 46 2.4k
Mats Niklasson Sweden 33 1.8k 1.0× 1.1k 0.9× 1.0k 1.0× 709 1.3× 1.3k 3.7× 78 3.3k
Alfredo Di Filippo Italy 23 1.5k 0.8× 1.3k 1.1× 1.3k 1.4× 206 0.4× 342 1.0× 49 2.1k
Davide Ascoli Italy 25 1.2k 0.7× 235 0.2× 622 0.6× 632 1.2× 139 0.4× 68 1.9k
Marco Turco Spain 34 2.6k 1.4× 918 0.7× 302 0.3× 486 0.9× 77 0.2× 74 3.4k
Alain Leduc Canada 35 2.8k 1.5× 437 0.4× 2.2k 2.3× 1.3k 2.4× 1.3k 3.6× 102 4.1k
Martin Macek Czechia 21 586 0.3× 412 0.3× 595 0.6× 349 0.6× 171 0.5× 49 1.5k

Countries citing papers authored by Igor Drobyshev

Since Specialization
Citations

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

Fields of papers citing papers by Igor Drobyshev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor Drobyshev. 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 Igor Drobyshev. The network helps show where Igor Drobyshev may publish in the future.

Co-authorship network of co-authors of Igor Drobyshev

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Drobyshev. A scholar is included among the top collaborators of Igor Drobyshev 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 Igor Drobyshev. Igor Drobyshev 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.
Dieppois, Bastien, Yann Quilcaille, Maria Vincenza Chiriacò, et al.. (2025). Future Impacts of Climate Change on Global Fire Weather: Insight from Weighted CMIP6 Multimodel Ensembles. Journal of Climate. 38(22). 6445–6462. 1 indexed citations
3.
Niklasson, Mats, et al.. (2025). Modelling of forest fuel and weather effects on fire behavior in the oak forests of Southern Sweden. Scandinavian Journal of Forest Research. 40(7-8). 357–370.
4.
Baar, Jan, et al.. (2024). Chemical changes in thermally modified, acetylated and melamine formaldehyde resin impregnated beech wood. Holzforschung. 78(8). 459–469. 5 indexed citations
5.
Bergeron, Yves, Michael C. Stambaugh, Patricia Raymond, et al.. (2024). Climatic controls of fire activity in the red pine forests of eastern North America. Agricultural and Forest Meteorology. 358. 110219–110219. 2 indexed citations
6.
Eden, Jonathan, Bastien Dieppois, Igor Drobyshev, et al.. (2023). Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales. Geoscientific model development. 16(10). 3103–3122. 14 indexed citations
7.
Bergeron, Yves, Igor Drobyshev, Alexis Achim, et al.. (2023). Recent decline in sugar maple (Acer saccharum Marsh.) growth extends to the northern parts of its distribution range in eastern Canada. Forest Ecology and Management. 545. 121304–121304. 10 indexed citations
8.
Barhoumi, Chéïma, Guillemette Ménot, Sébastien Joannin, et al.. (2023). Temperature and fire controls on vegetation dynamics in Northern Ural (Russia) boreal forests during the Holocene based on brGDGT and pollen data. Quaternary Science Reviews. 305. 108014–108014. 4 indexed citations
9.
Drobyshev, Igor, et al.. (2023). The first annually resolved analysis of slash-and-burn practices in the boreal Eurasia suggests their strong climatic and socio-economic controls. Vegetation History and Archaeobotany. 33(2). 301–312. 4 indexed citations
10.
Drobyshev, Igor, Jonathan Eden, Māra Kitenberga, et al.. (2021). Trends and patterns in annually burned forest areas and fire weather across the European boreal zone in the 20th and early 21st centuries. Agricultural and Forest Meteorology. 306. 108467–108467. 18 indexed citations
12.
Barhoumi, Chéïma, Adam A. Ali, Odile Peyron, et al.. (2020). Did long‐term fire control the coniferous boreal forest composition of the northern Ural region (Komi Republic, Russia)?. Journal of Biogeography. 47(11). 2426–2441. 16 indexed citations
13.
Boucher, Étienne, Yves Bergeron, Martin P. Girardin, et al.. (2019). North America’s oldest boreal trees are more efficient water users due to increased [CO 2 ], but do not grow faster. Proceedings of the National Academy of Sciences. 116(7). 2749–2754. 74 indexed citations
14.
Barhoumi, Chéïma, Odile Peyron, Sébastien Joannin, et al.. (2019). Gradually increasing forest fire activity during the Holocene in the northern Ural region (Komi Republic, Russia). The Holocene. 29(12). 1906–1920. 24 indexed citations
15.
Eden, Jonathan, Folmer Krikken, & Igor Drobyshev. (2019). An empirical prediction approach for seasonal fire risk in the boreal forests. International Journal of Climatology. 40(5). 2732–2744. 11 indexed citations
17.
Krikken, Folmer, Flavio Lehner, Karsten Haustein, Igor Drobyshev, & Geert Jan van Oldenborgh. (2019). Attribution of the role of climate change in the forest fires in Sweden2018. 29 indexed citations
18.
Krikken, Folmer, Flavio Lehner, Igor Drobyshev, & Geert Jan van Oldenborgh. (2019). Attribution of the role of global warming in the forest fires in Sweden 2018. EGU General Assembly Conference Abstracts. 17342. 1 indexed citations
19.
20.
Drobyshev, Igor, et al.. (2007). Crown condition dynamics of oak in southern Sweden 1988’999. Environmental Monitoring and Assessment. 134(1-3). 199–210. 15 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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