Wouter H. Maes

50 papers receiving 3.0k citations

Wouter H. Maes's Hit Papers

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture 2018 · 645 citations
6450+2+5Years since publication200400600

Peers

Wouter H. Maes
Comparison fields: 5 of 121
  • Global and Planetary Change 977
  • Environmental Engineering 607
  • Ecology 1.0k
  • Plant Science 1.2k
  • Forestry 120
Replace J. Schellberg with:
J. Schellberg Germany
John M. Kovacs Canada
Lorenzo Genesio Italy
Alessandro Zaldei Italy
Soo‐Hyung Kim United States
Wei Gao United States
V. González-Dugo Spain
Bangyou Zheng Australia
Pierpaolo Duce Italy
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 54 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 →
2018645
2 2012365
3 2010142
4 2009141
5 2009139
6 2010135
7 2009132
8 2012112
9 2017100
10 2016100
11 201978
12 201078
13 200577
14 200774
15 201868
16 202163
17 202351
18 202050
19 200948
20 201047

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 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Plant Water Relations and Carbon Dynamics (13 papers), Remote Sensing and LiDAR Applications (9 papers), African Botany and Ecology Studies (5 papers), 3D Surveying and Cultural Heritage (4 papers), Plant and animal studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Tree Root and Stability Studies (4 papers). The work is most often cited by research in Global and Planetary Change (977 citations), Environmental Engineering (607 citations), Ecology (1.0k citations), Plant Science (1.2k citations) and Forestry (120 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, Antonio Trabucco, Raf Aerts, Bruno Verbist, Alfredo Huete, Bert Reubens, Diego G. Miralles and Louis Verchot. Their work appears in journals such as Remote Sensing, Journal of Arid Environments, Agricultural and Forest Meteorology, Biomass and Bioenergy and Trends in Plant Science.

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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