Mats Berlin

675 total citations
28 papers, 444 citations indexed

About

Mats Berlin is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Genetics. According to data from OpenAlex, Mats Berlin has authored 28 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nature and Landscape Conservation, 15 papers in Global and Planetary Change and 6 papers in Genetics. Recurrent topics in Mats Berlin's work include Forest ecology and management (23 papers), Forest Management and Policy (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Mats Berlin is often cited by papers focused on Forest ecology and management (23 papers), Forest Management and Policy (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Mats Berlin collaborates with scholars based in Sweden, Finland and Norway. Mats Berlin's co-authors include Gunnar Jansson, Bo Karlsson, Karl‐Anders Högberg, Lars Bärring, Martin Lascoux, Pascal Milesi, Lili Li, Jun Chen, Matti Haapanen and Andreas Helmersson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, New Phytologist and Global Change Biology.

In The Last Decade

Mats Berlin

28 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mats Berlin Sweden 13 246 183 100 93 65 28 444
Csaba Mátyás Hungary 10 292 1.2× 285 1.6× 52 0.5× 130 1.4× 113 1.7× 25 533
L. I. Milyutin Russia 8 320 1.3× 222 1.2× 70 0.7× 100 1.1× 97 1.5× 23 513
N. A. Kuzminа Russia 4 222 0.9× 158 0.9× 52 0.5× 86 0.9× 58 0.9× 19 364
Mats Hannerz Sweden 14 393 1.6× 310 1.7× 34 0.3× 152 1.6× 186 2.9× 32 662
Valentine Lafond France 13 290 1.2× 306 1.7× 27 0.3× 190 2.0× 49 0.8× 18 616
Nere Amaia Laskurain Spain 11 248 1.0× 129 0.7× 17 0.2× 183 2.0× 104 1.6× 18 425
Frank M. Schurr Germany 3 438 1.8× 145 0.8× 42 0.4× 119 1.3× 129 2.0× 3 574
Suzanne B. Marchetti United States 8 258 1.0× 349 1.9× 19 0.2× 190 2.0× 59 0.9× 10 477
Chia‐Hao Chang‐Yang Taiwan 11 294 1.2× 154 0.8× 29 0.3× 115 1.2× 39 0.6× 22 407
Thomas Vanneste Belgium 11 186 0.8× 142 0.8× 21 0.2× 100 1.1× 84 1.3× 30 444

Countries citing papers authored by Mats Berlin

Since Specialization
Citations

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

Fields of papers citing papers by Mats Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Berlin

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Berlin. A scholar is included among the top collaborators of Mats Berlin 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 Mats Berlin. Mats Berlin 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.
Čepl, Jaroslav, Arne Steffenrem, Jan Stejskal, et al.. (2025). A Pollen‐Based Assisted Migration for Rapid Forest Adaptation. Global Change Biology. 31(1). e70014–e70014. 2 indexed citations
2.
Li, Lili, Pascal Milesi, Jun Chen, et al.. (2022). Teasing apart the joint effect of demography and natural selection in the birth of a contact zone. New Phytologist. 236(5). 1976–1987. 12 indexed citations
3.
Berlin, Mats, et al.. (2022). Development of a universal height response model for transfer of Norway spruce (Picea abies L. Karst) in Fennoscandia. Forest Ecology and Management. 528. 120628–120628. 4 indexed citations
4.
Ray, Duncan, Mats Berlin, Ricardo Alı́a, et al.. (2022). Transformative changes in tree breeding for resilient forest restoration. Frontiers in Forests and Global Change. 5. 15 indexed citations
5.
Berlin, Mats, et al.. (2021). Model analysis of temperature impact on the Norway spruce provenance specific bud burst and associated risk of frost damage. Forest Ecology and Management. 493. 119252–119252. 18 indexed citations
6.
7.
Berlin, Mats, et al.. (2021). Seasonal variation in Norway spruce response to inoculation with bark beetle-associated bluestain fungi one year after a severe drought. Forest Ecology and Management. 496. 119443–119443. 11 indexed citations
8.
Karlsson, Bo, et al.. (2020). Strategies for deployment of reproductive material under supply limitations – a case study of Norway spruce seed sources in Sweden. Scandinavian Journal of Forest Research. 35(8). 495–505. 9 indexed citations
9.
10.
Chen, Jun, Lili Li, Pascal Milesi, et al.. (2019). Genomic data provide new insights on the demographic history and the extent of recent material transfers in Norway spruce. Evolutionary Applications. 12(8). 1539–1551. 50 indexed citations
11.
Milesi, Pascal, Mats Berlin, Jun Chen, et al.. (2019). Assessing the potential for assisted gene flow using past introduction of Norway spruce in southern Sweden: Local adaptation and genetic basis of quantitative traits in trees. Evolutionary Applications. 12(10). 1946–1959. 31 indexed citations
12.
Berlin, Mats, Gunnar Jansson, Karl‐Anders Högberg, & Andreas Helmersson. (2019). Analysis of non-additive genetic effects in Norway spruce. Tree Genetics & Genomes. 15(3). 20 indexed citations
13.
Keskitalo, E. Carina H., Johan Bergh, Adam Felton, et al.. (2016). Adaptation to Climate Change in Swedish Forestry. Forests. 7(2). 28–28. 48 indexed citations
14.
Berlin, Mats, Torgny Persson, Gunnar Jansson, et al.. (2016). Scots pine transfer effect models for growth and survival in Sweden and Finland. Silva Fennica. 50(3). 37 indexed citations
15.
Berlin, Mats, Gunnar Jansson, & Karl‐Anders Högberg. (2014). Genotype by environment interaction in the southern Swedish breeding population ofPicea abiesusing new climatic indices. Scandinavian Journal of Forest Research. 30(2). 112–121. 21 indexed citations
16.
Berlin, Mats, Johan Sonesson, Johan Bergh, & Gunnar Jansson. (2012). The effect of fertilization on genetic parameters in Picea abies clones in central Sweden and consequences for breeding and deployment. Forest Ecology and Management. 270. 239–247. 1 indexed citations
17.
Berlin, Mats, Lars Lönnstedt, Gunnar Jansson, Öje Danell, & Tore Ericsson. (2010). Developing a Scots pine breeding objective: a case study involving a Swedish sawmill. Silva Fennica. 44(4). 8 indexed citations
18.
Berlin, Mats, Gunnar Jansson, Öje Danell, et al.. (2009). Economic weight of tree survival relative to volume production in tree breeding: A case study with Pinus sylvestris in northern Sweden. Scandinavian Journal of Forest Research. 24(4). 288–297. 12 indexed citations
19.
Berlin, Mats, et al.. (2009). A model to estimate economic weight of tree survival relative to volume production taking patchiness into account. Scandinavian Journal of Forest Research. 24(4). 278–287. 9 indexed citations
20.
Norin, Lars, С. М. Грач, T. B. Leyser, et al.. (2008). Ionospheric plasma density irregularities measured by stimulated electromagnetic emission. Journal of Geophysical Research Atmospheres. 113(A9). 17 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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