Ninni Saarinen

3.0k total citations · 1 hit paper
63 papers, 1.7k citations indexed

About

Ninni Saarinen is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Ninni Saarinen has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Environmental Engineering, 42 papers in Nature and Landscape Conservation and 32 papers in Insect Science. Recurrent topics in Ninni Saarinen's work include Remote Sensing and LiDAR Applications (57 papers), Forest ecology and management (41 papers) and Forest Ecology and Biodiversity Studies (32 papers). Ninni Saarinen is often cited by papers focused on Remote Sensing and LiDAR Applications (57 papers), Forest ecology and management (41 papers) and Forest Ecology and Biodiversity Studies (32 papers). Ninni Saarinen collaborates with scholars based in Finland, Canada and Belgium. Ninni Saarinen's co-authors include Mikko Vastaranta, Juha Hyyppä, Markus Holopainen, Ville Kankare, Ville Luoma, Michael A. Wulder, Tuomas Yrttimaa, Joanne C. White, Xinlian Liang and Topi Tanhuanpää and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Ninni Saarinen

59 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Terrestrial laser scanning in forest ecology: Expanding the horizon

2020 344 citations Kim Calders, Mathias Disney et al. profile →

Peers

Countries citing papers authored by Ninni Saarinen

Since Specialization

Citations

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

Fields of papers citing papers by Ninni Saarinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninni Saarinen

This figure shows the co-authorship network connecting the top 25 collaborators of Ninni Saarinen. A scholar is included among the top collaborators of Ninni Saarinen 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 Ninni Saarinen. Ninni Saarinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Expanding forest research with terrestrial LiDAR technology 2025 ·Nature Communications ·Eduardo Eiji Maeda, Benjamin Brede, Kim Calders, Mathias Disney, Martin Herold, Emily R. Lines, Matheus Henrique Nunes, Pasi Raumonen, Miina Rautiainen, Ninni Saarinen, (unknown), Yanjun Su, (unknown), Louise Terryn	0
2	Characterizing the competitive stress of individual trees using point clouds 2024 ·Forest Ecology and Management ·(unknown), (unknown), Tuomas Yrttimaa, Antero Kukko, Juha Hyyppä, Ninni Saarinen, Ville Kankare, Mikko Vastaranta	2
3	Quantifying fire-induced changes in ground vegetation using bitemporal terrestrial laser scanning 2024 ·Silva Fennica ·(unknown), Ninni Saarinen, Tuomas Yrttimaa, Ville Kankare, Mikko Vastaranta	3
4	A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning 2023 ·Forestry An International Journal of Forest Research ·Tuomas Yrttimaa, Ville Kankare, Ville Luoma, Samuli Junttila, Ninni Saarinen, Kim Calders, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta	1
5	Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds 2022 ·Forests ·(unknown), Tuomas Yrttimaa, Ville Kankare, Mikko Vastaranta, Ville Luoma, Eija Honkavaara, Niko Koivumäki, Saija Huuskonen, Jari Hynynen, Markus Holopainen, Juha Hyyppä, Ninni Saarinen	4
6	Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2) 2022 ·Geoscientific model development ·Félicien Meunier, Sruthi M. Krishna Moorthy, Marc Peaucelle, Kim Calders, Louise Terryn, (unknown), (unknown), Ninni Saarinen, Niall Origo, Joanne Nightingale, Mathias Disney, Yadvinder Malhi, Hans Verbeeck	5
7	Assessing the Dependencies of Scots Pine (Pinus sylvestris L.) Structural Characteristics and Internal Wood Property Variation 2022 ·Forests ·Ville Kankare, Ninni Saarinen, Jiri Pyörälä, Tuomas Yrttimaa, Jari Hynynen, Saija Huuskonen, Juha Hyyppä, Mikko Vastaranta	3
8	Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season 2022 ·Remote Sensing ·Samuli Junttila, Roope Näsi, Niko Koivumäki, (unknown), Ninni Saarinen, (unknown), Markus Holopainen, Hannu Hyyppä, Juha Hyyppä, Päivi Lyytikäinen‐Saarenmaa, Mikko Vastaranta, Eija Honkavaara	28
9	Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests 2022 ·Remote Sensing ·(unknown), (unknown), Tuomas Yrttimaa, Ville Luoma, Saija Huuskonen, Jari Hynynen, Juha Hyyppä, Ninni Saarinen, Ville Kankare, Mikko Vastaranta	7
10	Understanding 3D structural complexity of individual Scots pine trees with different management history 2021 ·Ecology and Evolution ·Ninni Saarinen, Kim Calders, Ville Kankare, Tuomas Yrttimaa, Samuli Junttila, Ville Luoma, Saija Huuskonen, Jari Hynynen, Hans Verbeeck	25
11	Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2) 2021 ·Félicien Meunier, Sruthi M. Krishna Moorthy, Marc Peaucelle, Kim Calders, Louise Terryn, (unknown), (unknown), Ninni Saarinen, Niall Origo, Joanne Nightingale, Mathias Disney, Yadvinder Malhi, Hans Verbeeck	4
12	Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning 2020 ·Remote Sensing ·Tuomas Yrttimaa, Ville Luoma, Ninni Saarinen, Ville Kankare, Samuli Junttila, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta	18
13	Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands 2020 ·ISPRS International Journal of Geo-Information ·Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Niko Viljanen, Jari Hynynen, Saija Huuskonen, Markus Holopainen, Juha Hyyppä, Eija Honkavaara, Mikko Vastaranta	15
14	Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation 2020 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Jari Hynynen, Saija Huuskonen, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta	24
15	Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands 2020 ·Remote Sensing ·(unknown), Ninni Saarinen, Markus Holopainen, Xiaowei Yu, Juha Hyyppä, Mikko Vastaranta	10
16	Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle 2019 ·Forests ·(unknown), Ninni Saarinen, Lauri Markelin, Tomi Rosnell, Roope Näsi, Teemu Hakala, Eija Honkavaara, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta	38
17	Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates 2019 ·Forests ·Ninni Saarinen, Ville Kankare, Jiri Pyörälä, Tuomas Yrttimaa, Xinlian Liang, Michael A. Wulder, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta	12
18	Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests 2019 ·Remote Sensing ·Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Xinlian Liang, Juha Hyyppä, Markus Holopainen, Mikko Vastaranta	30
19	Detecting and characterizing downed dead wood using terrestrial laser scanning 2019 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Tuomas Yrttimaa, Ninni Saarinen, Ville Luoma, Topi Tanhuanpää, Ville Kankare, Xinlian Liang, Juha Hyyppä, Markus Holopainen, Mikko Vastaranta	30
20	Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy 2018 ·International Journal of Remote Sensing ·Mikko Vastaranta, Xiaowei Yu, Ville Luoma, Mika Karjalainen, Ninni Saarinen, Michael A. Wulder, Joanne C. White, Henrik Persson, Markus Hollaus, Tuomas Yrttimaa, Markus Holopainen, Juha Hyyppä	19

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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