Julian Frey

2.0k citations
41 papers · 1.2k indexed · 2 hit papers · h-index 17

Impact in

Papers in

Julian Frey

36 papers receiving 1.2k citations

Hit Papers

UAV-Based Forest Health Monitoring: A Systematic Review 2022 · 149 citations
149202020262022202450100150200250

Peers

Julian Frey
Comparison fields: 5 of 83
  • Environmental Engineering 547
  • Ecological Modeling 165
  • Nature and Landscape Conservation 351
  • Insect Science 355
  • Ecology 583
Replace Päivi Lyytikäinen‐Saarenmaa with:
Päivi Lyytikäinen‐Saarenmaa Finland
Nicola Puletti Italy
Tuula Kantola Finland
Florian de Boissieu France
Francesca Giannetti Italy
Rachel Gaulton United Kingdom
Hugues Claessens Belgium
Danilo Roberti Alves de Almeida Brazil
Francesco Chianucci Italy
Topi Tanhuanpää Finland
Julian Frey relative to Päivi Lyytikäinen‐Saarenmaa Finland Päivi Lyytikäinen‐Saarenmaa's profile →
Citations per field
00.5×4.0×
Päivi Lyytikäinen‐Saarenmaa · 1×
Citations per year

Countries citing papers authored by Julian Frey

Since Specialization
Citations

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

Fields of papers citing papers by Julian Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 202411
5 20244
6 20243
7 202416
8 20236
9 202350
10 20231
11 20239
12 202259
13 20229
14 20224
15 202272
16 20219
17 202029
18
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
Hit paper breakdown →
2020255
19 201918
20 20190

About Julian Frey

Julian Frey is a scholar working on Ecological Modeling, Space and Planetary Science, Environmental Engineering, Insect Science and Nature and Landscape Conservation, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (21 papers), Forest Ecology and Biodiversity Studies (16 papers), Remote Sensing in Agriculture (12 papers), Forest ecology and management (9 papers), Species Distribution and Climate Change (8 papers), Forest Insect Ecology and Management (5 papers), Forest Management and Policy (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Environmental Engineering (547 citations), Ecological Modeling (165 citations), Nature and Landscape Conservation (351 citations), Insect Science (355 citations) and Ecology (583 citations). Julian Frey has collaborated with scholars based in Germany, South Africa and Finland. Frequent co-authors include Barbara Koch, Felix Schiefer, Teja Kattenborn, Thomas Asbeck, Annett Frick, Sebastian Schmidtlein, Jürgen Bauhus, Peter Schall, Thomas Seifert and Patrick Pyttel. Their work appears in journals such as Remote Sensing, Forest Ecology and Management, European Journal of Forest Research, Ecological Entomology and Forest Ecosystems.

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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