Jens Behley

5.6k citations

90 papers · 3.4k · 3 hit papers · h-index 26

Impact in

Geology top 0.2%
- 3D Surveying and Cultural Heritage
Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications

Papers in

Aerospace Engineering 49
- Robotics and Sensor-Based Localization 47
Computer Vision and Pattern Recognition 48
- Advanced Neural Network Applications 15
- Advanced Vision and Imaging 15
- Advanced Image and Video Retrieval Techniques 10

Co-authors: Cyrill Stachniss (80 shared papers)Andres Milioto (11 shared papers)Ignacio Vizzo (12 shared papers)Xieyuanli Chen (14 shared papers)Louis Wiesmann (20 shared papers)Benedikt Mersch (10 shared papers)Tiziano Guadagnino (16 shared papers)Philipp Lottes (5 shared papers)
Journals: IEEE Robotics and Automation Letters (36 papers)IEEE Transactions on Robotics (2 papers)Journal of Field Robotics (1 paper)Computers and Electronics in Agriculture (1 paper)The International Journal of Robotics Research (1 paper)
Partner nations: Germany United Kingdom United States

In The Last Decade

Jens Behley

81 papers receiving 3.3k citations

Jens Behley's Hit Papers

align trajectories log scale

KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way 2023 · 239 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 IEEE Robotics and Automation Letters
2019 RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
2018 Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments

Peers

Countries citing papers authored by Jens Behley

Since Specialization

Citations

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

Fields of papers citing papers by Jens Behley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss Hit paper breakdown →	2019	757
2	Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments Jens Behley, Cyrill Stachniss Hit paper breakdown →	2018	339
3	KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way IEEE Robotics and Automation Letters ·Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss Hit paper breakdown →	2023	239
4	Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming IEEE Robotics and Automation Letters ·Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss	2018	202
5	Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data IEEE Robotics and Automation Letters ·Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss	2021	153
6	Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset The International Journal of Robotics Research ·Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Jürgen Gall, Cyrill Stachniss	2021	90
7	OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization Autonomous Robots ·Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss	2021	90
8	Poisson Surface Reconstruction for LiDAR Odometry and Mapping bonndoc (University of Bonn) ·Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss	2021	72
9	Performance of histogram descriptors for the classification of 3D laser range data in urban environments Jens Behley, Volker Steinhage, Armin B. Cremers	2012	72
10	Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation IEEE Robotics and Automation Letters ·Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss	2022	72
11	Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming Journal of Field Robotics ·Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss	2019	70
12	Laser-based segment classification using a mixture of bag-of-words Jens Behley, Volker Steinhage, Armin B. Cremers	2013	68
13	Deep Compression for Dense Point Cloud Maps IEEE Robotics and Automation Letters ·Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley	2021	66
14	LiDAR Panoptic Segmentation for Autonomous Driving Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss	2020	64
15	Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions IEEE Robotics and Automation Letters ·Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss	2022	63
16	VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data Sensors ·Ignacio Vizzo, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss	2022	57
17	Efficient radius neighbor search in three-dimensional point clouds Jens Behley, Volker Steinhage, Armin B. Cremers	2015	51
18	Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping IEEE Robotics and Automation Letters ·Jan Weyler, Andres Milioto, Tillmann Falck, Jens Behley, Cyrill Stachniss	2021	49
19	SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations Xingguang Zhong, Yue Pan, Jens Behley, Cyrill Stachniss	2023	49
20	Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks Ferdinand Langer, Andres Milioto, Alexandre Haag, Jens Behley, Cyrill Stachniss	2020	48

About Jens Behley

Jens Behley is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Plant Science and Geology, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (47 papers), Remote Sensing and LiDAR Applications (29 papers), Smart Agriculture and AI (25 papers), 3D Surveying and Cultural Heritage (17 papers), Advanced Neural Network Applications (15 papers), Advanced Vision and Imaging (15 papers), Advanced Image and Video Retrieval Techniques (10 papers) and 3D Shape Modeling and Analysis (9 papers). The work is most often cited by research in Geology (919 citations), Environmental Engineering (1.2k citations), Computer Vision and Pattern Recognition (1.6k citations), Aerospace Engineering (1.7k citations) and Instrumentation (169 citations). Jens Behley has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Cyrill Stachniss, Andres Milioto, Ignacio Vizzo, Xieyuanli Chen, Louis Wiesmann, Benedikt Mersch, Tiziano Guadagnino, Philipp Lottes, Armin B. Cremers and Volker Steinhage. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Journal of Field Robotics, Computers and Electronics in Agriculture and The International Journal of Robotics Research.

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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Jens Behley's Hit Papers

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About Jens Behley

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