Tuula Packalen

655 total citations
34 papers, 405 citations indexed

About

Tuula Packalen is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Tuula Packalen has authored 34 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 16 papers in Nature and Landscape Conservation and 12 papers in Insect Science. Recurrent topics in Tuula Packalen's work include Forest Management and Policy (21 papers), Forest ecology and management (13 papers) and Forest Ecology and Biodiversity Studies (12 papers). Tuula Packalen is often cited by papers focused on Forest Management and Policy (21 papers), Forest ecology and management (13 papers) and Forest Ecology and Biodiversity Studies (12 papers). Tuula Packalen collaborates with scholars based in Finland, United States and Spain. Tuula Packalen's co-authors include Jari Vauhkonen, Kari Korhonen, Lauri Mehtätalo, Annika Kangas, Matti Maltamo, Anne Toppinen, Markus Melin, Petteri Packalén, Jacob L. Strunk and Pekka Helle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Tuula Packalen

33 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuula Packalen Finland 14 235 165 139 87 86 34 405
Jo Van Brusselen Finland 11 257 1.1× 101 0.6× 78 0.6× 67 0.8× 99 1.2× 27 412
Ioan Dutcă Romania 12 216 0.9× 243 1.5× 104 0.7× 31 0.4× 39 0.5× 28 391
Clemens Blattert Finland 13 461 2.0× 189 1.1× 55 0.4× 201 2.3× 67 0.8× 34 560
Even Bergseng Norway 12 282 1.2× 100 0.6× 98 0.7× 54 0.6× 50 0.6× 22 383
Torgny Lind Sweden 10 400 1.7× 141 0.9× 54 0.4× 155 1.8× 55 0.6× 22 495
Aleš Poljanec Slovenia 10 205 0.9× 167 1.0× 55 0.4× 73 0.8× 52 0.6× 16 392
Philip Mundhenk Germany 8 235 1.0× 144 0.9× 105 0.8× 53 0.6× 77 0.9× 11 357
Nancy Gélinas Canada 13 315 1.3× 106 0.6× 32 0.2× 66 0.8× 64 0.7× 42 479
Örjan Jonsson Sweden 5 191 0.8× 99 0.6× 84 0.6× 34 0.4× 78 0.9× 10 346
Krishna Prasad Poudel United States 16 420 1.8× 660 4.0× 436 3.1× 71 0.8× 131 1.5× 46 918

Countries citing papers authored by Tuula Packalen

Since Specialization
Citations

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

Fields of papers citing papers by Tuula Packalen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuula Packalen

This figure shows the co-authorship network connecting the top 25 collaborators of Tuula Packalen. A scholar is included among the top collaborators of Tuula Packalen 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 Tuula Packalen. Tuula Packalen 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.
Melin, Markus, Juho Matala, Lauri Mehtätalo, Jyrki Pusenius, & Tuula Packalen. (2023). The effect of snow depth on movement rates of GPS-collared moose. European Journal of Wildlife Research. 69(2). 4 indexed citations
2.
3.
Pukkala, Timo, Jari Vauhkonen, Kari Korhonen, & Tuula Packalen. (2021). Self-learning growth simulator for modelling forest stand dynamics in changing conditions. Forestry An International Journal of Forest Research. 94(3). 333–346. 21 indexed citations
4.
Huhta, Esa, et al.. (2020). Trade-offs between wood production and forest grouse habitats in two regions with distinctive landscapes. Forest Ecosystems. 7(1). 7 indexed citations
5.
Melin, Markus, et al.. (2020). Decline of the boreal willow grouse (Lagopus lagopus) has been accelerated by more frequent snow-free springs. Scientific Reports. 10(1). 6987–6987. 24 indexed citations
6.
Miina, Jari, Ville Hallikainen, Päivi Merilä, et al.. (2020). Incorporating a model for ground lichens into multi-functional forest planning for boreal forests in Finland. Forest Ecology and Management. 460. 117912–117912. 10 indexed citations
7.
Melin, Markus, Juho Matala, Jyrki Pusenius, & Tuula Packalen. (2019). Calving and post-calving habitat use of female moose in two contrasting landscapes. Wildlife Biology. 2019(1). 8 indexed citations
8.
Packalén, Petteri, Jacob L. Strunk, Tuula Packalen, Matti Maltamo, & Lauri Mehtätalo. (2019). Resolution dependence in an area-based approach to forest inventory with airborne laser scanning. Remote Sensing of Environment. 224. 192–201. 36 indexed citations
9.
Laitila, Juha, et al.. (2019). Joining up optimisation of wood supply chains with forest management: a case study of North Karelia in Finland. Forestry An International Journal of Forest Research. 93(1). 163–177. 9 indexed citations
10.
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
11.
Kangas, Annika, Arto Haara, Markus Holopainen, et al.. (2019). Kaukokartoitukseen perustuvan metsävaratiedon hyötyanalyysi : MetKu-hankkeen loppuraportti. Jukuri (Luonnonvarakeskus Tietopalvelu). 1 indexed citations
12.
Kangas, Annika & Tuula Packalen. (2018). Metsävaratieto metsäalan toimijoiden päätöksenteossa – käyttötilanteet ja hyötyyn vaikuttavat tekijät. SHILAP Revista de lepidopterología. 2018(0). 1 indexed citations
13.
Kangas, Annika, Kari Korhonen, Tuula Packalen, & Jari Vauhkonen. (2018). Sources and types of uncertainties in the information on forest-related ecosystem services. Forest Ecology and Management. 427. 7–16. 31 indexed citations
14.
15.
Hanski, Ilpo K., et al.. (2016). Comparing regional forest policy scenarios in terms of predicted suitable habitats for the Siberian flying squirrel (Pteromys volans). Scandinavian Journal of Forest Research. 32(2). 185–195. 11 indexed citations
16.
Salminen, Olli, et al.. (2015). Pirkanmaan metsävarat ja hakkuumahdollisuudet. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
17.
Packalen, Tuula, Ola Sallnäs, Olli Salminen, et al.. (2014). The European Forestry Dynamics Model (EFDM). Joint Research Centre (European Commission). 15 indexed citations
18.
Packalen, Tuula, et al.. (2013). Review. A brief overview of forest management decision support systems (FMDSS) listed in the FORSYS wiki. Forest Systems. 22(2). 263–269. 23 indexed citations
19.
Packalen, Tuula, et al.. (2013). Indicators of the Criteria for Good Participation in Ecotourism Planning at Local Level – A Nordic Case Study. Tourism Planning & Development. 10(4). 451–466. 4 indexed citations
20.
Marques, Alexandra, et al.. (2013). Empirical guidelines for forest management decision support systems based on the past experiences of the expert's community. Forest Systems. 22(2). 320–339. 12 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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