David Kelbe

15 papers receiving 364 citations

Peers

David Kelbe
Comparison fields: 5 of 44
  • Geology 193
  • Environmental Engineering 327
  • Nature and Landscape Conservation 107
  • Insect Science 77
  • Developmental Biology 10
Replace Johannes Otepka with:
Johannes Otepka Austria
Xiliang Sun China
Shangshu Cai China
Aimad El Issaoui Finland
Przemyslaw Polewski Germany
Bisheng Yang China
Philipp Glira Austria
Risto Kaijaluoto Finland
Yotam Livny Israel
Romain Neuville Belgium
David Kelbe relative to Johannes Otepka Austria Johannes Otepka's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Kelbe

Since Specialization
Citations

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

Fields of papers citing papers by David Kelbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside David Kelbe, 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 David Kelbe Line = papers co-authored together David Kelbe links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201899
2 201777
3 201666
4 201541
5 201619
6 201312
7
Automatic extraction of tree stem models from single terrestrial lidar scans in structurally heterogeneous forest environments
201212
8 201811
9 20169
10 20159
11 20154
12
Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory
20154
13
Quantifying the Attenuation Due to Geometry Interactions in Waveform Lidar Signals
20133
14 20133
15
Assessing the impact of broadleaf tree structure on airborne full-waveform small-footprint LiDAR signals
20123

About David Kelbe

David Kelbe is a scholar working on Environmental Engineering, Geology, Nature and Landscape Conservation, Ecology and Insect Science, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (7 papers), Forest ecology and management (6 papers), Remote Sensing in Agriculture (4 papers), Forest Ecology and Biodiversity Studies (4 papers), Advanced Optical Sensing Technologies (2 papers), Animal Vocal Communication and Behavior (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Geology (193 citations), Environmental Engineering (327 citations), Nature and Landscape Conservation (107 citations), Insect Science (77 citations) and Developmental Biology (10 citations). David Kelbe has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jan van Aardt, Kerry Cawse‐Nicholson, Martin van Leeuwen, Emmett J. Ientilucci, Carl Salvaggio, Claudia Paris, Lorenzo Bruzzone, Keith Krause, Esther Sebastián‐González and Patrick J. Hart. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Canadian Journal of Remote Sensing, Sensors and ISPRS Journal of Photogrammetry and Remote Sensing.

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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