Markku Åkerblom

21 papers receiving 1.3k citations

Markku Åkerblom's Hit Papers

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data 2013 · 632 citations
6320+4+8Years since publication200400600

Peers

Markku Åkerblom
Comparison fields: 5 of 57
  • Environmental Engineering 1.1k
  • Nature and Landscape Conservation 802
  • Insect Science 330
  • Geology 142
  • Ecology 489
Replace Phil Wilkes with:
Phil Wilkes United Kingdom
Alvaro Lau Netherlands
Benjamin Brede Netherlands
Jan Hackenberg Germany
Eduardo González‐Ferreiro Spain
Jean-François Côté Canada
Guangcai Xu China
Carine Klauberg United States
Topi Tanhuanpää Finland
Holger Weinacker Germany
Markku Åkerblom relative to Phil Wilkes United Kingdom Phil Wilkes's profile →
Citations per field
00.5×1.7×
Phil Wilkes · 1×
Citations per year

Countries citing papers authored by Markku Åkerblom

Since Specialization
Citations

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

Fields of papers citing papers by Markku Åkerblom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markku Åkerblom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markku Åkerblom Line = papers co-authored together Markku Åkerblom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Hit paper breakdown →
2013632
2 2018131
3 2015115
4 2017112
5 201571
6 201953
7 201850
8 202143
9 202231
10 201427
11 201826
12 202110
13 201510
14 20177
15 20177
16 20126
17 20252
18 20202
19 20132
20 20141

About Markku Åkerblom

Markku Åkerblom is a scholar working on Environmental Engineering, Nature and Landscape Conservation, Ecology, Global and Planetary Change and Mechanical Engineering, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (17 papers), Forest ecology and management (13 papers), Plant Water Relations and Carbon Dynamics (9 papers), Remote Sensing in Agriculture (9 papers), Tree Root and Stability Studies (2 papers), 3D Surveying and Cultural Heritage (1 paper), Aerodynamics and Fluid Dynamics Research (1 paper) and Leaf Properties and Growth Measurement (1 paper). The work is most often cited by research in Environmental Engineering (1.1k citations), Nature and Landscape Conservation (802 citations), Insect Science (330 citations), Geology (142 citations) and Ecology (489 citations). Markku Åkerblom has collaborated with scholars based in Finland, United Kingdom and Australia. Frequent co-authors include Pasi Raumonen, M. Kaasalainen, Mathias Disney, P. Lewis, Sanna Kaasalainen, Harri Kaartinen, Mikko Vastaranta, Markus Holopainen, Eric Casella and Kim Calders. Their work appears in journals such as Remote Sensing, Interface Focus, Remote Sensing of Environment, Silva Fennica and GigaScience.

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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