Ilkka Pölönen

72 papers receiving 1.7k citations

Ilkka Pölönen's Hit Papers

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging 2017 · 344 citations
3440+4+8Years since publication100200300400

Peers

Ilkka Pölönen
Comparison fields: 5 of 129
  • Environmental Engineering 856
  • Geology 288
  • Ecology 840
  • Media Technology 224
  • Ecological Modeling 99
Replace Eetu Puttonen with:
Eetu Puttonen Finland
Shuo Shi China
Jussi Mäkynen Finland
David Hernández‐López Spain
Sakari Tuominen Finland
Lin Du China
José Bessa Portugal
Tianyu Hu China
Maciel Zortea Brazil
Rongjun Qin United States
Ilkka Pölönen relative to Eetu Puttonen Finland Eetu Puttonen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ilkka Pölönen

Since Specialization
Citations

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

Fields of papers citing papers by Ilkka Pölönen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ilkka Pölönen, 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 Ilkka Pölönen Line = papers co-authored together Ilkka Pölönen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
Hit paper breakdown →
2013411
2
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
Hit paper breakdown →
2017344
3 202088
4 201673
5 201368
6 201856
7 201351
8 201540
9 202239
10 201337
11 201336
12 201233
13 201328
14 201725
15 201822
16 202021
17 201521
18 201820
19 202218
20 202118

About Ilkka Pölönen

Ilkka Pölönen is a scholar working on Ecology, Environmental Engineering, Artificial Intelligence, Media Technology and Analytical Chemistry, having authored 77 papers that have together received 1.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (20 papers), Spectroscopy and Chemometric Analyses (11 papers), Remote-Sensing Image Classification (10 papers), Cutaneous Melanoma Detection and Management (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), 3D Surveying and Cultural Heritage (8 papers) and Skin Protection and Aging (7 papers). The work is most often cited by research in Environmental Engineering (856 citations), Geology (288 citations), Ecology (840 citations), Media Technology (224 citations) and Ecological Modeling (99 citations). Ilkka Pölönen has collaborated with scholars based in Finland, Sweden and Pakistan. Frequent co-authors include Eija Honkavaara, Heikki Saari, Teemu Hakala, Jere Kaivosoja, Liisa Pesonen, Jussi Mäkynen, Sakari Tuominen, Paula Litkey, Niko Viljanen and Olli Nevalainen. Their work appears in journals such as Remote Sensing, Acta Dermato Venereologica, Scientific Reports, Journal of the European Academy of Dermatology and Venereology and Sensors.

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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