Minna Räty

692 total citations
30 papers, 523 citations indexed

About

Minna Räty is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Minna Räty has authored 30 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nature and Landscape Conservation, 19 papers in Environmental Engineering and 15 papers in Global and Planetary Change. Recurrent topics in Minna Räty's work include Forest ecology and management (19 papers), Remote Sensing and LiDAR Applications (18 papers) and Forest Management and Policy (14 papers). Minna Räty is often cited by papers focused on Forest ecology and management (19 papers), Remote Sensing and LiDAR Applications (18 papers) and Forest Management and Policy (14 papers). Minna Räty collaborates with scholars based in Finland, Sweden and Italy. Minna Räty's co-authors include Annika Kangas, Annika Kangas, Juha Hyyppä, Xiaowei Yu, Mikko Vastaranta, Ville Kankare, Hannu Hyyppä, Juha Heikkinen, Markus Holopainen and Petteri Alho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Minna Räty

27 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minna Räty Finland	13	311	297	202	171	150	30	523
Giovanni Santopuoli Italy	14	151 0.5×	213 0.7×	307 1.5×	165 1.0×	149 1.0×	45	521
Adrian Lanz Switzerland	14	344 1.1×	413 1.4×	354 1.8×	189 1.1×	155 1.0×	24	648
Bianca N.I. Eskelson Canada	13	254 0.8×	303 1.0×	296 1.5×	93 0.5×	230 1.5×	54	601
Romuald Vaudry France	6	355 1.1×	267 0.9×	269 1.3×	71 0.4×	298 2.0×	6	592
M Rasamoelina Madagascar	4	365 1.2×	383 1.3×	246 1.2×	79 0.5×	227 1.5×	4	551
Doo-Ahn Kwak South Korea	12	455 1.5×	324 1.1×	191 0.9×	138 0.8×	278 1.9×	31	617
Alessandro Vitali Italy	13	136 0.4×	227 0.8×	359 1.8×	85 0.5×	173 1.2×	28	575
Cristina Pascual Spain	9	343 1.1×	206 0.7×	272 1.3×	94 0.5×	285 1.9×	24	539
Janne Uuttera Finland	14	288 0.9×	346 1.2×	207 1.0×	230 1.3×	130 0.9×	21	510
C. J. Goulding New Zealand	8	272 0.9×	337 1.1×	238 1.2×	101 0.6×	227 1.5×	12	533

Countries citing papers authored by Minna Räty

Since Specialization

Citations

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

Fields of papers citing papers by Minna Räty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Räty

This figure shows the co-authorship network connecting the top 25 collaborators of Minna Räty. A scholar is included among the top collaborators of Minna Räty 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 Minna Räty. Minna Räty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Korhonen, Kari, et al.. (2024). Forests of Finland 2019–2023 and their development 1921–2023. Silva Fennica. 58(5). 7 indexed citations

Mehtätalo, Lauri, et al.. (2024). A new growth curve and fit to the National Forest Inventory data of Finland. Ecological Modelling. 501. 111006–111006. 1 indexed citations

Lehtonen, Aleksi, Kyle Eyvindson, Kersti Leppä, et al.. (2023). Potential of continuous cover forestry on drained peatlands to increase the carbon sink in Finland. Scientific Reports. 13(1). 15510–15510. 16 indexed citations

Räty, Minna, et al.. (2022). efdm–An R package offering a scenario tool beyond forestry. PLoS ONE. 17(8). e0264380–e0264380. 1 indexed citations

Pitkänen, Timo P., et al.. (2021). Using auxiliary data to rationalize smartphone-based pre-harvest forest mensuration. Forestry An International Journal of Forest Research. 95(2). 247–260. 3 indexed citations

Eggers, Jeannette, Minna Räty, Karin Öhman, & Tord Snäll. (2020). How Well Do Stakeholder-Defined Forest Management Scenarios Balance Economic and Ecological Forest Values?. Forests. 11(1). 86–86. 28 indexed citations

Räty, Minna, Juha Heikkinen, Kari Korhonen, et al.. (2019). Effect of cluster configuration and auxiliary variables on the efficiency of local pivotal method for national forest inventory. Scandinavian Journal of Forest Research. 34(7). 607–616. 2 indexed citations

Kangas, Annika, Minna Räty, Kari Korhonen, Jari Vauhkonen, & Tuula Packalen. (2019). Catering Information Needs from Global to Local Scales—Potential and Challenges with National Forest Inventories. Forests. 10(9). 800–800. 16 indexed citations

Mair, Louise, Mari Jönsson, Minna Räty, et al.. (2018). Land use changes could modify future negative effects of climate change on old‐growth forest indicator species. Diversity and Distributions. 24(10). 1416–1425. 26 indexed citations

10.

Mair, Louise, Philip J. Harrison, Minna Räty, et al.. (2017). Forest management could counteract distribution retractions forced by climate change. Ecological Applications. 27(5). 1485–1497. 12 indexed citations

11.

Jonsson, Ragnar, et al.. (2016). Integrating forest-based industry and forest resource modeling. iForest - Biogeosciences and Forestry. 9(5). 743–750. 9 indexed citations

12.

Sallnäs, Ola, Ambros Berger, Minna Räty, & Renats Trubins. (2015). An Area-Based Matrix Model for Uneven-Aged Forests. Forests. 6(5). 1500–1515. 10 indexed citations

13.

Packalen, Tuula, Ola Sallnäs, Olli Salminen, et al.. (2014). The European Forestry Dynamics Model (EFDM). Joint Research Centre (European Commission). 15 indexed citations

14.

Kankare, Ville, Minna Räty, Xiaowei Yu, et al.. (2013). Single tree biomass modelling using airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 85. 66–73. 47 indexed citations

15.

Räty, Minna, Juha Heikkinen, & Annika Kangas. (2011). KRIGING WITH EXTERNAL DRIFT IN MODEL LOCALIZATION. Jukuri (Natural Resources Institute Finland (Luke)). 3(1). 1–14. 10 indexed citations

16.

Räty, Minna, Ville Kankare, Xiaowei Yu, et al.. (2011). Tree biomass estimation using ALS features.. 1–8. 7 indexed citations

17.

Räty, Minna & Annika Kangas. (2011). Comparison of k-MSN and kriging in local prediction. Forest Ecology and Management. 263. 47–56. 16 indexed citations

18.

Holopainen, Markus, Mikko Vastaranta, Ville Kankare, et al.. (2011). Biomass estimation of individual trees using stem and crown diameter measurements. 1 indexed citations

19.

Räty, Minna & Annika Kangas. (2008). Localizing general models with classification and regression trees. Scandinavian Journal of Forest Research. 23(5). 419–430. 9 indexed citations

20.

Laasasenaho, Jouko, et al.. (1970). Puuston mittaus etäisyyden- ja kulmanmittauslaitteella. Metsätieteen aikakauskirja. 2002(3). 3 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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