Kai Mäkisara

1.3k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Kai Mäkisara is a scholar working on Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Kai Mäkisara has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 6 papers in Global and Planetary Change and 5 papers in Nature and Landscape Conservation. Recurrent topics in Kai Mäkisara's work include Remote Sensing and LiDAR Applications (9 papers), Forest Management and Policy (6 papers) and Forest ecology and management (5 papers). Kai Mäkisara is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Forest Management and Policy (6 papers) and Forest ecology and management (5 papers). Kai Mäkisara collaborates with scholars based in Finland, United States and Tanzania. Kai Mäkisara's co-authors include Matti Katila, Erkki Tomppo, R. E. Malimbwi, Søren Dalsgaard, Teuvo Kohonen, Erkki Tomppo, Helena M. Henttonen, Eliakimu Zahabu, Raymond L. Czaplewski and Ronald E. McRoberts and has published in prestigious journals such as Canadian Journal of Forest Research, Physica Scripta and Scandinavian Journal of Forest Research.

In The Last Decade

Kai Mäkisara

19 papers receiving 947 citations

Hit Papers

A report to the food and agriculture organization of the ... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A report to the food and agriculture organization of the united nations (FAO) in support of sampling study for National Forestry Resources Monitoring and Assessment (NAFORMA) in Tanzania
    2010 725 citations Erkki Tomppo, Matti Katila et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Mäkisara Finland 11 529 302 300 253 118 22 1.0k
Sedat Keleş Türkiye 17 742 1.4× 315 1.0× 252 0.8× 213 0.8× 77 0.7× 51 985
Stephen P. Prisley United States 18 436 0.8× 230 0.8× 252 0.8× 242 1.0× 87 0.7× 59 857
Søren Dalsgaard Netherlands 4 457 0.9× 206 0.7× 237 0.8× 304 1.2× 80 0.7× 5 949
Susan Minnemeyer United States 10 737 1.4× 236 0.8× 456 1.5× 121 0.5× 101 0.9× 28 1.2k
Shigejiro Yoshida Japan 23 660 1.2× 490 1.6× 512 1.7× 502 2.0× 137 1.2× 96 1.4k
Tetsuji Ota Japan 20 457 0.9× 203 0.7× 394 1.3× 386 1.5× 83 0.7× 83 1.0k
Joberto Veloso de Freitas Brazil 6 792 1.5× 352 1.2× 382 1.3× 173 0.7× 107 0.9× 17 1.3k
Ilona Zhuravleva United States 7 877 1.7× 253 0.8× 606 2.0× 181 0.7× 128 1.1× 9 1.3k
Rémi d’Annunzio Italy 15 640 1.2× 264 0.9× 318 1.1× 178 0.7× 79 0.7× 22 1.1k
Friedrich J. Bohn Germany 15 609 1.2× 470 1.6× 265 0.9× 202 0.8× 73 0.6× 22 1.1k

Countries citing papers authored by Kai Mäkisara

Since Specialization
Citations

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

Fields of papers citing papers by Kai Mäkisara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Mäkisara

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Mäkisara. A scholar is included among the top collaborators of Kai Mäkisara 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 Kai Mäkisara. Kai Mäkisara 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.
Räty, Minna, et al.. (2020). Comparison of the local pivotal method and systematic sampling for national forest inventories. Forest Ecosystems. 7(1). 11 indexed citations
2.
Tomppo, Erkki, Nea Kuusinen, Kai Mäkisara, Matti Katila, & Ronald E. McRoberts. (2016). Effects of field plot configurations on the uncertainties of ALS-assisted forest resource estimates. Scandinavian Journal of Forest Research. 32(6). 488–500. 20 indexed citations
3.
Tomppo, Erkki, R. E. Malimbwi, Matti Katila, et al.. (2014). A sampling design for a large area forest inventory: case Tanzania. Canadian Journal of Forest Research. 44(8). 931–948. 61 indexed citations
4.
Tomppo, Erkki, et al.. (2012). The Multi-source National Forest Inventory of Finland - methods and results 2007. Jukuri (Natural Resources Institute Finland (Luke)). 24 indexed citations
5.
6.
Härmä, Pekka, et al.. (2008). Finnish CORINE 2006 project: determining changes in land cover in Finland between 2000 and 2006. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7110. 71100V–71100V. 15 indexed citations
7.
Mäkisara, Kai, et al.. (2005). The on-line version of the Otaniemi speech recognition system. 7. 875–878. 1 indexed citations
8.
Mäkisara, Kai, et al.. (2005). Geometrical Processing Methods For Digitized Video Images. 4. 2427–2430. 1 indexed citations
9.
Tomppo, Erkki, Raymond L. Czaplewski, & Kai Mäkisara. (2002). The role of remote sensing in global forest assessments.. Jukuri (Natural Resources Institute Finland (Luke)). 11 indexed citations
10.
Mäkisara, Kai, et al.. (2002). A system for geometric and radiometric correction of airborne imaging spectrometer data. 3. 1503–1505. 6 indexed citations
11.
Mäkisara, Kai, et al.. (2002). Airborne imaging spectrometer for applications (AISA). 479–481. 20 indexed citations
12.
Tomppo, Erkki, Raymond L. Czaplewski, & Kai Mäkisara. (2002). The role of remote sensing in global forest assessment: A remote sensing background paper for Kotka IV expert consultation; 01.07-05.07.2002, Kotka, Finland. 10 indexed citations
13.
Mäkisara, Kai & Erkki Tomppo. (2002). Airborne imaging spectrometry in National Forest Inventory [Finland]. 2. 1010–1013.
14.
Tomppo, Erkki, et al.. (1999). Airborne imaging spectrometer (AISA) in forest inventory and forest health monitoring.. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
15.
Mäkisara, Kai, et al.. (1997). Experiments with imaging spectrometer data in large-area forest inventory context. Jukuri (Natural Resources Institute Finland (Luke)). 5 indexed citations
16.
Tomppo, Erkki, Kai Mäkisara, Helena M. Henttonen, et al.. (1994). Application of ERS-1 SAR Data in Large-Area Forest Inventory. Jukuri (Natural Resources Institute Finland (Luke)). 383(365). 103. 4 indexed citations
17.
Mäkisara, Kai, et al.. (1994). Geometric correction of airborne imaging spectrometer data. 851–853 vol.2. 6 indexed citations
18.
Mäkisara, Kai, et al.. (1993). Design and first test results of the Finnish airborne imaging spectrometer for different applications (AISA). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1937. 142–142. 15 indexed citations
19.
Kohonen, Teuvo & Kai Mäkisara. (1989). The self-organizing feature maps. Physica Scripta. 39(1). 168–172. 23 indexed citations
20.
Kohonen, Teuvo & Kai Mäkisara. (1986). Representation of sensory information in self-organizing feature maps. AIP conference proceedings. 151. 271–276. 5 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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