Mika Rekola

674 total citations
29 papers, 506 citations indexed

About

Mika Rekola is a scholar working on Global and Planetary Change, Economics and Econometrics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Mika Rekola has authored 29 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 12 papers in Economics and Econometrics and 10 papers in Management, Monitoring, Policy and Law. Recurrent topics in Mika Rekola's work include Forest Management and Policy (21 papers), Economic and Environmental Valuation (11 papers) and Environmental Conservation and Management (10 papers). Mika Rekola is often cited by papers focused on Forest Management and Policy (21 papers), Economic and Environmental Valuation (11 papers) and Environmental Conservation and Management (10 papers). Mika Rekola collaborates with scholars based in Finland, China and Sweden. Mika Rekola's co-authors include Eija Pouta, Jari Kuuluvainen, Chuan-Zhong Li, Anne Toppinen, Dalia D’Amato, Olli Tahvonen, Nenad Keča, Tapio T. Rantala, Katja Lähtinen and Ville Ovaskainen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Ethics and Ecological Economics.

In The Last Decade

Mika Rekola

27 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Rekola Finland 12 306 285 144 69 50 29 506
Gregory M. Parkhurst United States 13 394 1.3× 547 1.9× 202 1.4× 45 0.7× 12 0.2× 28 788
Raphaële Préget France 10 140 0.5× 300 1.1× 120 0.8× 34 0.5× 20 0.4× 31 528
Anne Stenger France 12 230 0.8× 244 0.9× 60 0.4× 26 0.4× 15 0.3× 19 391
Simanti Banerjee United States 11 324 1.1× 438 1.5× 156 1.1× 24 0.3× 19 0.4× 26 687
Sophie Thoyer France 8 119 0.4× 252 0.9× 108 0.8× 24 0.3× 16 0.3× 20 463
Donald M. McLeod United States 13 325 1.1× 355 1.2× 64 0.4× 18 0.3× 12 0.2× 28 658
Laure Kühfuss United Kingdom 11 165 0.5× 283 1.0× 124 0.9× 29 0.4× 16 0.3× 25 516
Matleena Kniivilä Finland 9 168 0.5× 167 0.6× 55 0.4× 15 0.2× 22 0.4× 18 332
Yohei Mitani Japan 10 192 0.6× 291 1.0× 85 0.6× 27 0.4× 8 0.2× 22 387
Ville Ovaskainen Finland 14 592 1.9× 434 1.5× 109 0.8× 43 0.6× 18 0.4× 37 787

Countries citing papers authored by Mika Rekola

Since Specialization
Citations

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

Fields of papers citing papers by Mika Rekola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Rekola

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Rekola. A scholar is included among the top collaborators of Mika Rekola 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 Mika Rekola. Mika Rekola 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.
Rekola, Mika, Andrew Taber, Terry L. Sharik, et al.. (2024). Social and knowledge diversity in forest education: Vital for the world’s forests. AMBIO. 54(4). 660–669. 3 indexed citations
3.
Rekola, Mika, et al.. (2019). Forests, peaceful and inclusive societies, reduced inequality, education, and inclusive institutions at all levels : Background study prepared for the fourteenth session of the United Nations Forum on Forests. Työväentutkimus Vuosikirja. 3 indexed citations
4.
Rekola, Mika, et al.. (2018). Modelling competences and anticipating the future competence needs in the forest sector. Silva Fennica. 52(3). 3 indexed citations
5.
D’Amato, Dalia, et al.. (2017). Effects of industrial plantations on ecosystem services and livelihoods: Perspectives of rural communities in China. Land Use Policy. 63. 266–278. 34 indexed citations
6.
Toppinen, Anne, et al.. (2017). Forest ecosystem services, corporate sustainability and local livelihoods in industrial plantations of China: building conceptual awareness on the interlinkages. The International Forestry Review. 19(1). 170–182. 4 indexed citations
7.
D’Amato, Dalia, et al.. (2017). Forest Company Dependencies and Impacts on Ecosystem Services: Expert Perceptions from China. Forests. 8(4). 134–134. 5 indexed citations
8.
D’Amato, Dalia, et al.. (2016). Managerial Views of Corporate Impacts and Dependencies on Ecosystem Services: A Case of International and Domestic Forestry Companies in China. Journal of Business Ethics. 150(4). 1011–1028. 29 indexed citations
9.
D’Amato, Dalia, et al.. (2015). Monetary valuation of forest ecosystem services in China: A literature review and identification of future research needs. Ecological Economics. 121. 75–84. 45 indexed citations
10.
Rekola, Mika, et al.. (2012). Comparative Study of University and Polytechnic Graduates in Finland: Implications of Higher Education on Earnings. Research in Comparative and International Education. 7(3). 342–351. 6 indexed citations
11.
Rekola, Mika, et al.. (2010). Nordic forest professionals’ values. Silva Fennica. 44(5). 10 indexed citations
12.
Kuuluvainen, Jari, et al.. (2009). Logit model assumptions and estimated willingness to pay for forest conservation in southern Finland. Empirical Economics. 37(3). 681–691. 6 indexed citations
13.
Kuuluvainen, Jari, et al.. (2005). Influence of logit model assumptions on estimated willingness to pay for forest conservation in southern Finland. Jukuri (Natural Resources Institute Finland (Luke)). 2 indexed citations
14.
Rekola, Mika. (2004). Incommensurability and uncertainty in contingent valuation: willingness to pay for forest and nature conservation policies in Finland. Työväentutkimus Vuosikirja. 2 indexed citations
15.
Rekola, Mika & Eija Pouta. (2004). Public preferences for uncertain regeneration cuttings: a contingent valuation experiment involving Finnish private forests. Forest Policy and Economics. 7(4). 635–649. 17 indexed citations
16.
Li, Chuan-Zhong, Jari Kuuluvainen, Eija Pouta, Mika Rekola, & Olli Tahvonen. (2004). Using Choice Experiments to Value the Natura 2000 Nature Conservation Programs in Finland. Environmental and Resource Economics. 29(3). 361–374. 35 indexed citations
17.
Kuuluvainen, Jari, et al.. (2003). Non-market benefits of forest conservation in southern Finland. Environmental Science & Policy. 6(3). 195–204. 121 indexed citations
18.
Pouta, Eija, Mika Rekola, Jari Kuuluvainen, Chuan-Zhong Li, & Olli Tahvonen. (2002). Willingness to pay in different policy-planning methods: insights into respondents’ decision-making processes. Ecological Economics. 40(2). 295–311. 25 indexed citations
19.
Pouta, Eija, et al.. (1998). Referendum model of contingent valuation and the Finnish Natura 2000 Nature conservation program: preliminary analysis. Jukuri (Natural Resources Institute Finland (Luke)). 3 indexed citations
20.
Pouta, Eija & Mika Rekola. (1970). Suomalaisten maksuhalukkuus metsiensuojelusta: meta-analyysi. SHILAP Revista de lepidopterología. 2006(2). 1 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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