Wouter H. Maes

47 papers receiving 2.9k citations

Wouter H. Maes's Hit Papers

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture 2018 · 628 citations
6280+2+5Years since publication200400600

Peers

Wouter H. Maes
Comparison fields: 5 of 120
  • Global and Planetary Change 967
  • Environmental Engineering 595
  • Ecology 1.0k
  • Plant Science 1.2k
  • Forestry 121
Replace J. Schellberg with:
J. Schellberg Germany
John M. Kovacs Canada
Lorenzo Genesio Italy
Alessandro Zaldei Italy
Wei Gao United States
Soo‐Hyung Kim United States
Bruno Andrieu France
Bangyou Zheng Australia
V. González-Dugo Spain
Francesco Primo Vaccari Italy
Wouter H. Maes relative to J. Schellberg Germany J. Schellberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wouter H. Maes

Since Specialization
Citations

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

Fields of papers citing papers by Wouter H. Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter H. Maes. 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 Wouter H. Maes. The network helps show where Wouter H. Maes may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
Hit paper breakdown →
2018628
2 2012357
3 2010142
4 2009139
5 2009138
6 2010135
7 2009132
8 2012110
9 201699
10 201797
11 201078
12 200577
13 201974
14 200773
15 201864
16 202159
17 202049
18 200948
19 202347
20 201046

About Wouter H. Maes

Wouter H. Maes is a scholar working on Plant Science, Global and Planetary Change, Ecology, Environmental Engineering and Nature and Landscape Conservation, having authored 51 papers that have together received 3.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (14 papers), Plant Water Relations and Carbon Dynamics (13 papers), Remote Sensing and LiDAR Applications (8 papers), African Botany and Ecology Studies (5 papers), Tree Root and Stability Studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Smart Agriculture and AI (4 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Global and Planetary Change (967 citations), Environmental Engineering (595 citations), Ecology (1.0k citations), Plant Science (1.2k citations) and Forestry (121 citations). Wouter H. Maes has collaborated with scholars based in Belgium, Australia and United States. Frequent co-authors include Kathy Steppe, Bart Muys, Wouter Achten, Raf Aerts, Antonio Trabucco, Bruno Verbist, Alfredo Huete, Bert Reubens, Erik Mathijs and Louis Verchot. Their work appears in journals such as Remote Sensing, Journal of Arid Environments, Biomass and Bioenergy, Agricultural and Forest Meteorology and Agricultural Water Management.

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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