Eija Honkavaara

8.2k total citations · 4 hit papers
183 papers, 6.2k citations indexed

About

Eija Honkavaara is a scholar working on Environmental Engineering, Ecology and Geology. According to data from OpenAlex, Eija Honkavaara has authored 183 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Environmental Engineering, 94 papers in Ecology and 59 papers in Geology. Recurrent topics in Eija Honkavaara's work include Remote Sensing and LiDAR Applications (105 papers), Remote Sensing in Agriculture (85 papers) and 3D Surveying and Cultural Heritage (59 papers). Eija Honkavaara is often cited by papers focused on Remote Sensing and LiDAR Applications (105 papers), Remote Sensing in Agriculture (85 papers) and 3D Surveying and Cultural Heritage (59 papers). Eija Honkavaara collaborates with scholars based in Finland, Brazil and United Kingdom. Eija Honkavaara's co-authors include Teemu Hakala, Tomi Rosnell, Niko Viljanen, Juha Hyyppä, Roope Näsi, Ilkka Pölönen, Antônio Maria Garcia Tommaselli, Heikki Saari, Jere Kaivosoja and Paula Litkey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Eija Honkavaara

173 papers receiving 6.0k 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.

Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

2018 453 citations Eija Honkavaara et al. Remote Sensing profile →
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

2013 411 citations Eija Honkavaara, Jere Kaivosoja et al. Remote Sensing profile →
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017 344 citations Olli Nevalainen, Eija Honkavaara et al. Remote Sensing profile →
UAV in the advent of the twenties: Where we stand and what is next

2022 175 citations Eija Honkavaara et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eija Honkavaara Finland	40	3.7k	3.1k	1.6k	1.0k	994	183	6.2k
Arko Lucieer Australia	40	4.9k 1.3×	3.6k 1.2×	2.6k 1.6×	1.2k 1.2×	1.8k 1.8×	156	8.9k
Teemu Hakala Finland	35	2.7k 0.7×	2.4k 0.8×	866 0.5×	603 0.6×	796 0.8×	134	4.4k
Guangjian Yan China	43	6.6k 1.8×	4.0k 1.3×	907 0.6×	651 0.6×	4.1k 4.1×	238	9.8k
Darren Turner Australia	23	2.9k 0.8×	1.4k 0.4×	2.0k 1.3×	899 0.9×	637 0.6×	48	4.7k
Norbert Pfeifer Austria	51	7.0k 1.9×	2.8k 0.9×	4.2k 2.6×	743 0.7×	1.0k 1.0×	285	8.8k
Wuming Zhang China	27	2.4k 0.6×	1.3k 0.4×	1.0k 0.6×	279 0.3×	571 0.6×	114	3.8k
Yanjun Su China	43	3.1k 0.8×	2.6k 0.8×	526 0.3×	217 0.2×	1.5k 1.5×	122	5.0k
Luke Wallace Australia	22	2.3k 0.6×	1.3k 0.4×	1.0k 0.6×	413 0.4×	765 0.8×	54	3.2k
Antero Kukko Finland	47	6.9k 1.8×	2.3k 0.7×	3.5k 2.2×	1.1k 1.1×	986 1.0×	192	8.4k
Harri Kaartinen Finland	51	7.8k 2.1×	2.7k 0.9×	3.2k 2.0×	1.0k 1.0×	1.1k 1.2×	191	9.2k

Countries citing papers authored by Eija Honkavaara

Since Specialization

Citations

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

Fields of papers citing papers by Eija Honkavaara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eija Honkavaara

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Honkavaara, Eija, et al.. (2025). Evaluation of Resolving Power and MTF of DMC. 3(2, June 2025). 32–39.

Näsi, Roope, Eija Honkavaara, Miroslav Blaženec, et al.. (2025). Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging. Forest Ecology and Management. 586. 122692–122692. 1 indexed citations

Acar, Osman & Eija Honkavaara. (2024). A Review of Vehicles for Fire Suppression. Preprints.org.

Koivumäki, Niko, et al.. (2024). Autonomous robotic drone system for mapping forest interiors. SHILAP Revista de lepidopterología. XLVIII-2-2024. 167–172. 1 indexed citations

Honkavaara, Eija, Raquel Alves de Oliveira, Roope Näsi, et al.. (2024). Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing. European Journal of Forest Research. 143(6). 1871–1892. 2 indexed citations

Peltonen‐Sainio, Pirjo, Lauri Jauhiainen, Roope Näsi, Eetu Puttonen, & Eija Honkavaara. (2024). Harmonization potential of the fragmented farmlands in Finland: The pros and cons for critical parcel characteristics. Land Use Policy. 147. 107380–107380. 1 indexed citations

Koivumäki, Niko, et al.. (2023). Visual-Inertial Odometry Using High Flying Altitude Drone Datasets. Drones. 7(1). 36–36. 14 indexed citations

Atherton, Jon, Shan Xu, Anu Riikonen, et al.. (2023). Investigating Foliar Macro- and Micronutrient Variation with Chlorophyll Fluorescence and Reflectance Measurements at the Leaf and Canopy Scales in Potato. Remote Sensing. 15(10). 2498–2498. 3 indexed citations

Moriya, Érika Akemi Saito, et al.. (2023). Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study. Agronomy. 13(6). 1542–1542. 5 indexed citations

10.

Näsi, Roope, Hannu Mikkola, Eija Honkavaara, et al.. (2023). Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics?. Agronomy. 13(3). 669–669. 14 indexed citations

11.

Luoma, Ville, et al.. (2023). A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings. Remote Sensing. 15(21). 5233–5233. 2 indexed citations

12.

Oliveira, Raquel Alves de, José Marcato, Roope Näsi, et al.. (2022). Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV. Agronomy. 12(6). 1352–1352. 17 indexed citations

13.

Tommaselli, Antônio Maria Garcia, Nilton Nobuhiro Imai, Gabriela Takahashi Miyoshi, et al.. (2022). Structure and tree diversity of an inland Atlantic Forest–A case study of Ponte Branca Forest Remnant, Brazil. Indonesian Journal of Geography. 54(1). 1 indexed citations

14.

Junttila, Samuli, Roope Näsi, Niko Koivumäki, et al.. (2022). Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. Remote Sensing. 14(4). 909–909. 28 indexed citations

15.

Karila, Kirsi, Raquel Alves de Oliveira, Jere Kaivosoja, et al.. (2022). Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. Remote Sensing. 14(11). 2692–2692. 18 indexed citations

16.

Miyoshi, Gabriela Takahashi, Mauro dos Santos de Arruda, Lucas Prado Osco, et al.. (2020). A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images. Remote Sensing. 12(8). 1294–1294. 77 indexed citations

17.

Yrttimaa, Tuomas, Ninni Saarinen, Ville Kankare, et al.. (2020). Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. ISPRS International Journal of Geo-Information. 9(5). 309–309. 15 indexed citations

18.

Peltoniemi, Jouni, Teemu Hakala, Juha Suomalainen, et al.. (2014). Technical notes: A detailed study for the provision of measurement uncertainty and traceability for goniospectrometers. Journal of Quantitative Spectroscopy and Radiative Transfer. 146. 376–390. 25 indexed citations

19.

Markelin, Lauri, et al.. (2012). RADIOMETRIC EVALUATION OF DIGITAL AERIAL CAMERAS. 4 indexed citations

20.

Becker, Susanne, Norbert Haala, Eija Honkavaara, & Lauri Markelin. (2006). Image restoration for resolution improvement of digital aerial images : A comparison of large format digital cameras. 5–10. 8 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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