Mitja Skudnik

1.6k total citations
41 papers, 498 citations indexed

About

Mitja Skudnik is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mitja Skudnik has authored 41 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 15 papers in Global and Planetary Change and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mitja Skudnik's work include Forest ecology and management (14 papers), Forest Management and Policy (9 papers) and Lichen and fungal ecology (8 papers). Mitja Skudnik is often cited by papers focused on Forest ecology and management (14 papers), Forest Management and Policy (9 papers) and Lichen and fungal ecology (8 papers). Mitja Skudnik collaborates with scholars based in Slovenia, Germany and Finland. Mitja Skudnik's co-authors include Jernej Jevšenak, Zvonka Jeran, Urša Vilhar, Primož Simončić, Franc Batič, Damijana Kastelec, Lotti Thöni, Kerstin Westin, Raisa Mäkipää and Artti Juutinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Mitja Skudnik

37 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitja Skudnik Slovenia 14 226 170 164 136 104 41 498
Urša Vilhar Slovenia 15 278 1.2× 150 0.9× 85 0.5× 39 0.3× 78 0.8× 43 479
Stefan Blumentrath Norway 10 182 0.8× 92 0.5× 129 0.8× 64 0.5× 43 0.4× 22 478
Nataly Ascarrunz Netherlands 9 351 1.6× 457 2.7× 168 1.0× 126 0.9× 45 0.4× 12 673
Aaron B. Berdanier United States 9 292 1.3× 230 1.4× 226 1.4× 91 0.7× 295 2.8× 12 749
Pablo Marroquín Morales Mexico 3 417 1.8× 113 0.7× 119 0.7× 163 1.2× 124 1.2× 12 646
Lina Koyama Japan 13 221 1.0× 87 0.5× 252 1.5× 58 0.4× 141 1.4× 24 573
Jean‐Yves Goret French Guiana 12 444 2.0× 303 1.8× 220 1.3× 77 0.6× 105 1.0× 18 679
Hsiang‐Hua Wang Taiwan 10 138 0.6× 213 1.3× 99 0.6× 59 0.4× 35 0.3× 21 372
Stephan A. Pietsch Austria 12 423 1.9× 240 1.4× 100 0.6× 28 0.2× 99 1.0× 25 542
Long Yang China 14 187 0.8× 135 0.8× 190 1.2× 65 0.5× 37 0.4× 28 504

Countries citing papers authored by Mitja Skudnik

Since Specialization
Citations

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

Fields of papers citing papers by Mitja Skudnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitja Skudnik

This figure shows the co-authorship network connecting the top 25 collaborators of Mitja Skudnik. A scholar is included among the top collaborators of Mitja Skudnik 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 Mitja Skudnik. Mitja Skudnik 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.
2.
Skudnik, Mitja, et al.. (2024). Pestrost in pojavljanje domačih in tujerodnih drevesnih in grmovnih vrst na ploskvah nacionalne gozdne inventure v Sloveniji. SHILAP Revista de lepidopterología. 134. 11–26. 2 indexed citations
3.
Jevšenak, Jernej, et al.. (2023). Machine Learning Forest Simulator (MLFS): R package for data-driven assessment of the future state of forests. Ecological Informatics. 75. 102115–102115. 5 indexed citations
4.
Engel, Markus, Tobias Mette, Wolfgang Falk, et al.. (2023). Modelling Dominant Tree Heights of Fagus sylvatica L. Using Function-on-Scalar Regression Based on Forest Inventory Data. Forests. 14(2). 304–304. 2 indexed citations
5.
Skudnik, Mitja, et al.. (2021). Stanje in spremembe slovenskih gozdov med letoma 2000 in 2018. DiRROS repository (University of Maribor). 5 indexed citations
6.
Juutinen, Artti, Mikko Kurttila, Tähti Pohjanmies, et al.. (2021). Forest owners' preferences for contract-based management to enhance environmental values versus timber production. Forest Policy and Economics. 132. 102587–102587. 27 indexed citations
7.
Vilhar, Urša, et al.. (2017). 30 let spremljanja stanja gozdov v Sloveniji. DiRROS repository (University of Maribor). 1 indexed citations
8.
Chiavetta, Ugo, Mitja Skudnik, Giada Bertini, et al.. (2016). Diversity of structure through silviculture. Italian Journal of Agronomy. 11. 18–22. 5 indexed citations
9.
10.
Skudnik, Mitja, et al.. (2016). Trace elements and nitrogen content in naturally growing moss Hypnum cupressiforme in urban and peri-urban forests of the Municipality of Ljubljana (Slovenia). Environmental Science and Pollution Research. 24(5). 4517–4527. 11 indexed citations
11.
D’Andrea, Ettore, Mitja Ferlan, Mitja Skudnik, et al.. (2016). Improving carbon sequestration and stocking as a function of forestry. Italian Journal of Agronomy. 11. 56–60. 4 indexed citations
12.
Bascietto, Marco, Ugo Chiavetta, Paolo Cantiani, et al.. (2016). ManFor C.BD sites and the drivers of forest functions. Italian Journal of Agronomy. 11. 64–95. 9 indexed citations
13.
Meyer, Michaela, Winfried Schröder, Stefan Nickel, et al.. (2015). Relevance of canopy drip for the accumulation of nitrogen in moss used as biomonitors for atmospheric nitrogen deposition in Europe. The Science of The Total Environment. 538. 600–610. 17 indexed citations
14.
Skudnik, Mitja, Zvonka Jeran, Franc Batič, Primož Simončić, & Damijana Kastelec. (2015). Potential environmental factors that influence the nitrogen concentration and δ15N values in the moss Hypnum cupressiforme collected inside and outside canopy drip lines. Environmental Pollution. 198. 78–85. 16 indexed citations
15.
Hafner, Polona, Jožica Gričar, Mitja Skudnik, & Tom Levanič. (2015). Variations in Environmental Signals in Tree-Ring Indices in Trees with Different Growth Potential. PLoS ONE. 10(11). e0143918–e0143918. 14 indexed citations
16.
Skudnik, Mitja, Zvonka Jeran, Franc Batič, et al.. (2014). Influence of canopy drip on the indicative N, S and δ15N content in moss Hypnum cupressiforme. Environmental Pollution. 190. 27–35. 17 indexed citations
17.
Harmens, Harry, Lotti Thöni, David Cooper, et al.. (2014). Relationship between site-specific nitrogen concentrations in mosses and measured wet bulk atmospheric nitrogen deposition across Europe. Environmental Pollution. 194. 50–59. 44 indexed citations
18.
Vilhar, Urša, Mitja Skudnik, & Primož Simončić. (2013). Phenological phases of trees on the intensive forest monitoring plots in Slovenia.. 5–17. 1 indexed citations
19.
Hladnik, David & Mitja Skudnik. (2010). Stand mapping techniques for forest management in Slovenia.. 60–66. 2 indexed citations
20.
Simončić, Primož, et al.. (2009). Control sampling method in Slovenia - history, characteristics and use.. 4 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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