Jan Kašpar

434 total citations
34 papers, 289 citations indexed

About

Jan Kašpar is a scholar working on Global and Planetary Change, Mechanics of Materials and Nature and Landscape Conservation. According to data from OpenAlex, Jan Kašpar has authored 34 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 14 papers in Mechanics of Materials and 8 papers in Nature and Landscape Conservation. Recurrent topics in Jan Kašpar's work include Forest Management and Policy (24 papers), Forest Biomass Utilization and Management (14 papers) and Forest ecology and management (8 papers). Jan Kašpar is often cited by papers focused on Forest Management and Policy (24 papers), Forest Biomass Utilization and Management (14 papers) and Forest ecology and management (8 papers). Jan Kašpar collaborates with scholars based in Czechia, Portugal and Austria. Jan Kašpar's co-authors include Róbert Marušák, Emin Zeki Başkent, Meryem Tahri, José G. Borges, Petr Vopěnka, Harald Vacik, Ratna Chrismiari Purwestri, Miroslav Hájek, Pete Bettinger and Peter Lohmander and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Forest Ecology and Management.

In The Last Decade

Jan Kašpar

32 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Kašpar Czechia 11 193 58 42 40 34 34 289
Bogdan Popa Romania 10 216 1.1× 81 1.4× 19 0.5× 26 0.7× 24 0.7× 40 321
Todd A. Morgan United States 9 228 1.2× 78 1.3× 78 1.9× 44 1.1× 46 1.4× 32 290
William Hubbard United States 9 110 0.6× 33 0.6× 48 1.1× 25 0.6× 28 0.8× 35 342
Emily S. Huff United States 9 282 1.5× 25 0.4× 29 0.7× 27 0.7× 24 0.7× 35 380
Marius Aleinikovas Lithuania 9 62 0.3× 37 0.6× 65 1.5× 24 0.6× 39 1.1× 35 246
Ken Skog United States 5 151 0.8× 128 2.2× 51 1.2× 24 0.6× 39 1.1× 12 302
Manuel Bertomeu Spain 13 244 1.3× 40 0.7× 131 3.1× 59 1.5× 15 0.4× 18 450
Matthias Bösch Germany 10 205 1.1× 36 0.6× 29 0.7× 19 0.5× 85 2.5× 16 310
Ruslandi United States 12 215 1.1× 20 0.3× 89 2.1× 81 2.0× 23 0.7× 21 279
Anu Korosuo Austria 13 279 1.4× 72 1.2× 86 2.0× 50 1.3× 96 2.8× 23 408

Countries citing papers authored by Jan Kašpar

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kašpar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Kašpar

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kašpar. A scholar is included among the top collaborators of Jan Kašpar 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 Jan Kašpar. Jan Kašpar 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.
Kašpar, Jan, et al.. (2025). The role of demographics in citizens’ behavioral intentions for participatory forest management planning. Frontiers in Forests and Global Change. 8.
2.
Kašpar, Jan, et al.. (2025). A new automatic AHP tool to assess the forest vulnerability to wind damage. Ecological Indicators. 178. 113607–113607.
3.
Tahri, Meryem, et al.. (2025). An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach. Systems Biology in Reproductive Medicine. 71(1). 13–28. 2 indexed citations
4.
Tahri, Meryem, Jan Kašpar, Roman Berčák, et al.. (2024). New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map. Engineering Applications of Artificial Intelligence. 138. 109399–109399. 2 indexed citations
5.
Kašpar, Jan, et al.. (2024). Assessing citizens' willingness for participatory forest management planning: A case study in the Czech Republic. Forest Policy and Economics. 169. 103345–103345. 3 indexed citations
6.
Başkent, Emin Zeki, José G. Borges, & Jan Kašpar. (2024). An Updated Review of Spatial Forest Planning: Approaches, Techniques, Challenges, and Future Directions. Current Forestry Reports. 10(5). 299–321. 13 indexed citations
7.
Lohmander, Peter, et al.. (2023). Climate-related subsidies for CO2 absorption and fuel substitution: Effects on optimal forest management decisions. Journal of Environmental Management. 344. 118751–118751. 3 indexed citations
8.
Başkent, Emin Zeki & Jan Kašpar. (2023). Exploring the effects of various rotation lengths on the ecosystem services within a multiple-use management framework. Forest Ecology and Management. 538. 120974–120974. 9 indexed citations
9.
Martins, Isabel P., Filipe Alvelos, Adelaide Cerveira, Jan Kašpar, & Róbert Marušák. (2022). Solving a harvest scheduling optimization problem with constraints on clearcut area and clearcut proximity. International Transactions in Operational Research. 30(6). 3930–3948. 4 indexed citations
10.
Purwestri, Ratna Chrismiari, Miroslav Hájek, Vilém Jarský, et al.. (2021). The role of Bioeconomy in the Czech national forest strategy: a comparison with Sweden. The International Forestry Review. 23(4). 492–510. 7 indexed citations
11.
Tahri, Meryem, Jan Kašpar, Harald Vacik, & Róbert Marušák. (2021). Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services. Annals of Forest Science. 78(2). 17 indexed citations
12.
Tahri, Meryem, et al.. (2021). New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field. Computers & Geosciences. 158. 104951–104951. 18 indexed citations
13.
14.
Başkent, Emin Zeki, José G. Borges, Jan Kašpar, & Meryem Tahri. (2020). A Design for Addressing Multiple Ecosystem Services in Forest Management Planning. Forests. 11(10). 1108–1108. 45 indexed citations
15.
Purwestri, Ratna Chrismiari, et al.. (2020). Bioeconomy in the National Forest Strategy: A Comparison Study in Germany and the Czech Republic. Forests. 11(6). 608–608. 19 indexed citations
16.
Kašpar, Jan, et al.. (2019). Human health and sustainable forest management. Jukuri (Luonnonvarakeskus Tietopalvelu). 58–97. 13 indexed citations
17.
Marušák, Róbert, et al.. (2015). Alternative Modelling Approach to Spatial Harvest Scheduling with Respect to Fragmentation of Forest Ecosystem. Environmental Management. 56(5). 1134–1147. 8 indexed citations
18.
Vopěnka, Petr, Jan Kašpar, & Róbert Marušák. (2015). GIS tool for optimization of forest harvest-scheduling. Computers and Electronics in Agriculture. 113. 254–259. 16 indexed citations
19.
20.
Kašpar, Jan, Róbert Marušák, & Róbert Sedmák. (2014). Spatial and non-spatial harvest scheduling versus conventional timber indicator in over-mature forests. SHILAP Revista de lepidopterología. 60(2). 2 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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