Mika Sulkava

796 total citations
21 papers, 267 citations indexed

About

Mika Sulkava is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Atmospheric Science. According to data from OpenAlex, Mika Sulkava has authored 21 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Nature and Landscape Conservation and 7 papers in Atmospheric Science. Recurrent topics in Mika Sulkava's work include Plant Water Relations and Carbon Dynamics (10 papers), Forest ecology and management (8 papers) and Tree-ring climate responses (7 papers). Mika Sulkava is often cited by papers focused on Plant Water Relations and Carbon Dynamics (10 papers), Forest ecology and management (8 papers) and Tree-ring climate responses (7 papers). Mika Sulkava collaborates with scholars based in Finland, Italy and Germany. Mika Sulkava's co-authors include Jaakko Hollmén, Sebastiaan Luyssaert, Dario Papale, Sönke Zaehle, Pekka Nöjd, Harri Mäkinen, Juha Vesanto, Mikko Korpela, Hannu Raitio and Ivan A. Janssens and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Environmental Pollution.

In The Last Decade

Mika Sulkava

18 papers receiving 251 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 Sulkava Finland 10 156 71 70 52 41 21 267
Tobias Pilz Germany 9 236 1.5× 62 0.9× 113 1.6× 50 1.0× 19 0.5× 14 338
Michael Flechsig Germany 10 249 1.6× 69 1.0× 149 2.1× 89 1.7× 50 1.2× 19 442
Dan Smith United States 6 164 1.1× 32 0.5× 52 0.7× 88 1.7× 28 0.7× 16 353
Adeline Maciel Brazil 6 146 0.9× 30 0.4× 25 0.4× 147 2.8× 31 0.8× 10 314
E. Levine United States 9 123 0.8× 45 0.6× 49 0.7× 100 1.9× 25 0.6× 17 300
J. Sansom New Zealand 11 188 1.2× 143 2.0× 21 0.3× 29 0.6× 17 0.4× 25 330
Vinay Prasad Mandal India 9 92 0.6× 40 0.6× 30 0.4× 100 1.9× 30 0.7× 20 315
Markus Tum Germany 10 171 1.1× 64 0.9× 49 0.7× 82 1.6× 24 0.6× 18 267
Phillip Papastefanou Germany 9 148 0.9× 27 0.4× 39 0.6× 45 0.9× 26 0.6× 16 223

Countries citing papers authored by Mika Sulkava

Since Specialization
Citations

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

Fields of papers citing papers by Mika Sulkava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Sulkava

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Sulkava. A scholar is included among the top collaborators of Mika Sulkava 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 Sulkava. Mika Sulkava 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.
Hari, Pertti, Tuomas Aakala, Emmi Hilasvuori, et al.. (2017). Reliability of temperature signal in various climate indicators from northern Europe. PLoS ONE. 12(6). e0180042–e0180042. 15 indexed citations
2.
Miettinen, Antti, et al.. (2017). Suomen maa- ja elintarviketalous 2016/2017. Jukuri (Luonnonvarakeskus Tietopalvelu). 3 indexed citations
3.
Miettinen, Antti, et al.. (2017). Finnish agriculture and food sector 2016/17. Jukuri (Luonnonvarakeskus Tietopalvelu). 3 indexed citations
4.
Sulkava, Mika, et al.. (2016). IMPROVING SUPPORT ESTIMATES BY FUSION OF PRE-ELECTION DATA. International Journal of Computing. 107–118.
5.
Sulkava, Mika, et al.. (2015). Predicting the profitability of agricultural enterprises in dairy farming. Jukuri (Natural Resources Institute Finland (Luke)).
6.
Sulkava, Mika, et al.. (2015). Data fusion of pre-election gallups and polls for improved support estimates. 27. 143–148. 1 indexed citations
7.
Sulkava, Mika, et al.. (2014). Clustering of the self-organizing map reveals profiles of farm profitability and upscaling weights. Neurocomputing. 147. 197–206. 7 indexed citations
8.
Sulkava, Mika. (2012). Exploring agricultural data using self-organizing maps. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
9.
Sulkava, Mika, Sebastiaan Luyssaert, Sönke Zaehle, & Dario Papale. (2011). Assessing and improving the representativeness of monitoring networks: The European flux tower network example. Journal of Geophysical Research Atmospheres. 116. 40 indexed citations
10.
Korpela, Mikko, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, & Mika Sulkava. (2010). Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. Neurocomputing. 73(10-12). 2039–2046. 13 indexed citations
11.
Korpela, Mikko, Pekka Nöjd, Jaakko Hollmén, et al.. (2010). Photosynthesis, temperature and radial growth of Scots pine in northern Finland: identifying the influential time intervals. Trees. 25(2). 323–332. 17 indexed citations
12.
Sulkava, Mika, Harri Mäkinen, Pekka Nöjd, & Jaakko Hollmén. (2008). Automatic detection of onset and cessation of tree stem radius increase using dendrometer data and CUSUM charts. Jukuri (Luonnonvarakeskus Tietopalvelu). 2 indexed citations
13.
Sulkava, Mika, Harri Mäkinen, Pekka Nöjd, & Jaakko Hollmén. (2007). CUSUM charts for detecting onset and cessation of xylem formation based on automated dendrometer data. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
14.
Sulkava, Mika, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, & Jaakko Hollmén. (2007). Modeling the effects of varying data quality on trend detection in environmental monitoring. Ecological Informatics. 2(2). 167–176. 16 indexed citations
15.
Luyssaert, Sebastiaan, Ivan A. Janssens, Mika Sulkava, et al.. (2007). Photosynthesis drives anomalies in net carbon‐exchange of pine forests at different latitudes. Global Change Biology. 13(10). 2110–2127. 67 indexed citations
16.
Luyssaert, Sebastiaan, Mika Sulkava, Hannu Raitio, & Jaakko Hollmén. (2005). Are N and S deposition altering the mineral composition of Norway spruce and Scots pine needles in Finland?. Environmental Pollution. 138(1). 5–17. 13 indexed citations
17.
Sulkava, Mika, Jarkko Tikka, & Jaakko Hollmén. (2005). Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees. Ecological Modelling. 191(1). 118–130. 6 indexed citations
18.
Luyssaert, Sebastiaan, Mika Sulkava, Hannu Raitio, & Jaakko Hollmén. (2004). Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?. Journal of Environmental Monitoring. 6(2). 160–167. 20 indexed citations
19.
Sulkava, Mika & Jaakko Hollmén. (2003). Finding Profiles of Forest Nutrition by Clustering of the Self-Organizing Map. Jukuri (Luonnonvarakeskus Tietopalvelu). 6 indexed citations
20.
Vesanto, Juha, Mika Sulkava, & Jaakko Hollmén. (2003). On the Decomposition of the Self-Organizing Map Distortion Measure. Jukuri (Luonnonvarakeskus Tietopalvelu). 25 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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