Tomas Lämås

2.3k total citations
55 papers, 1.8k citations indexed

About

Tomas Lämås is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Tomas Lämås has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 34 papers in Nature and Landscape Conservation and 26 papers in Insect Science. Recurrent topics in Tomas Lämås's work include Forest Management and Policy (38 papers), Forest Ecology and Biodiversity Studies (26 papers) and Forest ecology and management (24 papers). Tomas Lämås is often cited by papers focused on Forest Management and Policy (38 papers), Forest Ecology and Biodiversity Studies (26 papers) and Forest ecology and management (24 papers). Tomas Lämås collaborates with scholars based in Sweden, Finland and United Kingdom. Tomas Lämås's co-authors include Karin Öhman, Göran Ståhl, Clas Fries, Peder Wikström, Ljusk Ola Eriksson, Nicholas Kruys, Bengt Gunnar Jonsson, Jeannette Eggers, Torgny Lind and Jörgen Wallerman and has published in prestigious journals such as PLoS ONE, Journal of Environmental Management and Forest Ecology and Management.

In The Last Decade

Tomas Lämås

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomas Lämås Sweden 24 1.1k 737 668 306 291 55 1.8k
Stephen R. Shifley United States 29 1.8k 1.6× 480 0.7× 1.4k 2.2× 310 1.0× 197 0.7× 89 2.6k
José Ramón González‐Olabarria Spain 28 2.3k 2.1× 497 0.7× 1.5k 2.2× 366 1.2× 190 0.7× 71 3.3k
Verena C. Griess Canada 27 1.0k 0.9× 283 0.4× 685 1.0× 317 1.0× 143 0.5× 68 1.9k
Susanna Nocentini Italy 19 1.2k 1.1× 564 0.8× 889 1.3× 283 0.9× 105 0.4× 79 1.9k
Petra Lasch‐Born Germany 22 1.7k 1.5× 392 0.5× 1.3k 1.9× 133 0.4× 130 0.4× 38 2.3k
Marc Palahí Finland 24 1.1k 1.0× 279 0.4× 862 1.3× 299 1.0× 87 0.3× 56 1.7k
Risto Sievänen Finland 31 2.0k 1.8× 524 0.7× 1.7k 2.5× 560 1.8× 149 0.5× 87 3.2k
Arne Pommerening Sweden 23 1.1k 1.0× 586 0.8× 1.6k 2.4× 435 1.4× 154 0.5× 73 2.2k
Jens Peter Skovsgaard Denmark 18 1.1k 1.0× 345 0.5× 1.4k 2.1× 334 1.1× 99 0.3× 38 2.0k
Robert G. Wagner United States 35 1.9k 1.7× 834 1.1× 2.3k 3.4× 234 0.8× 199 0.7× 117 3.3k

Countries citing papers authored by Tomas Lämås

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Lämås

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Lämås

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Lämås. A scholar is included among the top collaborators of Tomas Lämås 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 Tomas Lämås. Tomas Lämås 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.
Wallerman, Jörgen, et al.. (2024). Dynamic treatment units in forest planning improves economic performance over stand-based planning. European Journal of Forest Research. 144(1). 163–177.
2.
Lämås, Tomas, Karin Öhman, Johanna Lundström, et al.. (2023). The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use. Frontiers in Forests and Global Change. 6. 23 indexed citations
3.
Wallerman, Jörgen, et al.. (2021). Dynamic treatment units in forest planning using cell proximity. Canadian Journal of Forest Research. 51(7). 1065–1071. 12 indexed citations
4.
Felton, Adam, Per Angelstam, Lena Gustafsson, et al.. (2019). Keeping pace with forestry: Multi-scale conservation in a changing production forest matrix. AMBIO. 49(5). 1050–1064. 89 indexed citations
5.
Felton, Adam, Johan Sonesson, Urban Nilsson, et al.. (2017). Varying rotation lengths in northern production forests: Implications for habitats provided by retention and production trees. AMBIO. 46(3). 324–334. 35 indexed citations
6.
Felton, Adam, Thomas Ranius, Jean‐Michel Roberge, et al.. (2017). Projecting biodiversity and wood production in future forest landscapes: 15 key modeling considerations. Journal of Environmental Management. 197. 404–414. 10 indexed citations
7.
Lämås, Tomas, et al.. (2015). Tree retention practices in boreal forests: what kind of future landscapes are we creating?. Scandinavian Journal of Forest Research. 30(6). 526–537. 16 indexed citations
8.
Eggers, Jeannette, Tomas Lämås, Torgny Lind, & Karin Öhman. (2014). Factors Influencing the Choice of Management Strategy among Small-Scale Private Forest Owners in Sweden. Forests. 5(7). 1695–1716. 80 indexed citations
9.
Boerboom, L.G.J., Tomas Lämås, Ljusk Ola Eriksson, et al.. (2013). Studying the use of forest management decision support systems: an initial synthesis of lessons learned from case studies compiled using a semantic wiki. Scandinavian Journal of Forest Research. 29(sup1). 44–55. 14 indexed citations
10.
Lämås, Tomas, et al.. (2012). Application of a primarily deductive framework describing time consumption for hauling of logs to road-side. Annals of Operations Research. 219(1). 477–489. 2 indexed citations
11.
Lämås, Tomas, et al.. (2012). Introducing cost-plus-loss analysis into a hierarchical forestry planning environment. Annals of Operations Research. 219(1). 415–431. 15 indexed citations
12.
Bergström, Dan, et al.. (2011). Simulation of harvester productivity in selective and boom-corridor thinning of young forests. Scandinavian Journal of Forest Research. 27(1). 56–73. 35 indexed citations
13.
Horstkotte, Tim, Jon Moen, Tomas Lämås, & Timo Helle. (2011). The Legacy of Logging—Estimating Arboreal Lichen Occurrence in a Boreal Multiple-Use Landscape on a Two Century Scale. PLoS ONE. 6(12). e28779–e28779. 28 indexed citations
14.
Wikström, Peder, et al.. (2006). Modeling carbon sequestration and timber production in a regional case study. Silva Fennica. 40(4). 40 indexed citations
15.
Öhman, Karin & Tomas Lämås. (2005). Reducing forest fragmentation in long-term forest planning by using the shape index. Forest Ecology and Management. 212(1-3). 346–357. 52 indexed citations
16.
Ringvall, Anna, Hans Petersson, Göran Ståhl, & Tomas Lämås. (2005). Surveyor consistency in presence/absence sampling for monitoring vegetation in a boreal forest. Forest Ecology and Management. 212(1-3). 109–117. 39 indexed citations
17.
Öhman, Karin & Tomas Lämås. (2003). Clustering of harvest activities in multi-objective long-term forest planning. Forest Ecology and Management. 176(1-3). 161–171. 46 indexed citations
18.
Ringvall, Anna, Göran Ståhl, & Tomas Lämås. (2002). The Effect of Positional Errors on the Accuracy of Estimates in Guided Transect Sampling. Forest Science. 48(1). 101–110. 7 indexed citations
19.
Ståhl, Göran, et al.. (1998). Assessment of coarse woody debris: a comparison of probability sampling methods.. 241–248. 6 indexed citations
20.
Fries, Clas, Mattias Carlsson, Bo Dahlin, Tomas Lämås, & Ola Sallnäs. (1998). A review of conceptual landscape planning models for multiobjective forestry in Sweden. Canadian Journal of Forest Research. 28(2). 159–167. 45 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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