Cyrill Stachniss

25.8k total citations · 11 hit papers
308 papers, 17.3k citations indexed

About

Cyrill Stachniss is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Cyrill Stachniss has authored 308 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Aerospace Engineering, 184 papers in Computer Vision and Pattern Recognition and 55 papers in Plant Science. Recurrent topics in Cyrill Stachniss's work include Robotics and Sensor-Based Localization (191 papers), Robotic Path Planning Algorithms (81 papers) and Smart Agriculture and AI (54 papers). Cyrill Stachniss is often cited by papers focused on Robotics and Sensor-Based Localization (191 papers), Robotic Path Planning Algorithms (81 papers) and Smart Agriculture and AI (54 papers). Cyrill Stachniss collaborates with scholars based in Germany, United Kingdom and United States. Cyrill Stachniss's co-authors include Wolfram Burgard, Giorgio Grisetti, Jens Behley, Kai M. Wurm, Maren Bennewitz, Andres Milioto, Armin Hornung, Rainer Kümmerle, Philipp Lottes and Ignacio Vizzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Cyrill Stachniss

288 papers receiving 16.5k citations

Hit Papers

OctoMap: an efficient pro... 2005 2026 2012 2019 2013 2007 2010 2005 2019 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. OctoMap: an efficient probabilistic 3D mapping framework based on octrees
    2013 1.9k citations Cyrill Stachniss, Wolfram Burgard et al. profile →
  2. Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters
    2007 1.7k citations Giorgio Grisetti, Cyrill Stachniss et al. profile →
  3. A Tutorial on Graph-Based SLAM
    2010 899 citations Giorgio Grisetti, Cyrill Stachniss et al. profile →
  4. Coordinated multi-robot exploration
    2005 769 citations Wolfram Burgard, Cyrill Stachniss et al. profile →
  5. RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
    2019 757 citations Ignacio Vizzo, Jens Behley et al. profile →
  6. Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
    2005 533 citations Giorgio Grisetti, Cyrill Stachniss et al. profile →
  7. Information Gain-based Exploration Using Rao-Blackwellized Particle Filters
    2005 371 citations Cyrill Stachniss, Giorgio Grisetti et al. profile →
  8. Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments
    2018 339 citations Jens Behley, Cyrill Stachniss profile →
  9. UAV-based crop and weed classification for smart farming
    2017 285 citations Philipp Lottes, Cyrill Stachniss et al. profile →
  10. KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way
    2023 239 citations Ignacio Vizzo, Tiziano Guadagnino et al. IEEE Robotics and Automation Letters profile →
  11. A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
    2024 47 citations Xieyuanli Chen, Cyrill Stachniss et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cyrill Stachniss Germany 60 10.7k 9.4k 2.7k 2.6k 2.6k 308 17.3k
Sanjiv Singh United States 42 5.6k 0.5× 4.5k 0.5× 1.4k 0.5× 1.6k 0.6× 1.4k 0.5× 166 9.1k
Davide Scaramuzza Switzerland 79 15.3k 1.4× 14.3k 1.5× 1.1k 0.4× 3.1k 1.2× 5.5k 2.1× 257 23.0k
Martial Hebert United States 73 7.1k 0.7× 16.5k 1.8× 2.3k 0.8× 2.9k 1.1× 722 0.3× 380 22.4k
Giorgio Grisetti Italy 33 7.2k 0.7× 5.3k 0.6× 887 0.3× 1.6k 0.6× 2.2k 0.8× 110 8.8k
Andreas Geiger Germany 52 9.2k 0.9× 19.8k 2.1× 3.1k 1.2× 3.3k 1.2× 1.6k 0.6× 135 26.0k
Frank Dellaert United States 55 10.0k 0.9× 8.6k 0.9× 847 0.3× 1.7k 0.6× 3.6k 1.4× 209 15.3k
Kurt Konolige United States 43 9.6k 0.9× 10.7k 1.1× 688 0.3× 1.8k 0.7× 2.0k 0.8× 106 15.3k
Ian Reid United Kingdom 63 9.2k 0.9× 16.0k 1.7× 1.1k 0.4× 2.3k 0.9× 2.2k 0.9× 260 20.4k
Radu Bogdan Rusu Germany 35 6.7k 0.6× 6.2k 0.7× 3.1k 1.1× 4.5k 1.7× 431 0.2× 60 11.9k
Gary Bradski United States 28 5.7k 0.5× 8.9k 1.0× 571 0.2× 1.2k 0.5× 1.1k 0.4× 47 13.1k

Countries citing papers authored by Cyrill Stachniss

Since Specialization
Citations

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

Fields of papers citing papers by Cyrill Stachniss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyrill Stachniss

This figure shows the co-authorship network connecting the top 25 collaborators of Cyrill Stachniss. A scholar is included among the top collaborators of Cyrill Stachniss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cyrill Stachniss. Cyrill Stachniss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wuepper, David, Niklas Möhring, Anna F. Cord, et al.. (2025). From technological fixes to systemic change: Vision-led innovation for Europe's crop farming systems. Agricultural Systems. 233. 104593–104593.
2.
Pan, Yue, et al.. (2025). ActiveGS: Active Scene Reconstruction Using Gaussian Splatting. IEEE Robotics and Automation Letters. 10(5). 4866–4873. 1 indexed citations
3.
Nunes, Lucas, et al.. (2025). Zero-Shot Semantic Segmentation for Robots in Agriculture. 5432–5439.
4.
Guadagnino, Tiziano, Benedikt Mersch, Saurabh Gupta, et al.. (2025). KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities. 5363–5370.
5.
Nunes, Lucas, et al.. (2025). SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments. IEEE Robotics and Automation Letters. 10(5). 5074–5081.
6.
Blok, Pieter M., Federico Magistri, Cyrill Stachniss, et al.. (2024). High-throughput 3D shape completion of potato tubers on a harvester. Computers and Electronics in Agriculture. 228. 109673–109673. 3 indexed citations
7.
Magistri, Federico, et al.. (2024). PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9583–9594. 22 indexed citations
8.
Guadagnino, Tiziano, et al.. (2024). Effectively Detecting Loop Closures using Point Cloud Density Maps. 10260–10266. 10 indexed citations
9.
10.
Magistri, Federico, et al.. (2024). Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. IEEE Robotics and Automation Letters. 9(8). 7357–7364. 6 indexed citations
11.
Chang, Le, et al.. (2024). SPR: Single-Scan Radar Place Recognition. IEEE Robotics and Automation Letters. 9(10). 9079–9086. 8 indexed citations
12.
Halstead, Michael, et al.. (2023). PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics and Automation Letters. 9(1). 907–914. 14 indexed citations
13.
Hertzberg, Joachim, et al.. (2023). Interview: Cyrill Stachniss’ View on AI in Agriculture. KI - Künstliche Intelligenz. 37(2-4). 133–141. 1 indexed citations
14.
Läbe, Thomas, et al.. (2023). Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. IEEE Robotics and Automation Letters. 8(6). 3310–3317. 19 indexed citations
15.
Lottes, Philipp, et al.. (2023). Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. IEEE Robotics and Automation Letters. 8(8). 5259–5266. 5 indexed citations
16.
Pan, Yue, Federico Magistri, Thomas Läbe, et al.. (2023). Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. 4226–4233. 13 indexed citations
17.
Chen, Xieyuanli, et al.. (2021). Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks. IEEE Robotics and Automation Letters. 6(4). 8221–8228. 43 indexed citations
18.
Frank, Barbara, et al.. (2011). Using Gaussian process regression for efficient motion planning in environments with deformable objects. National Conference on Artificial Intelligence. 2–7. 18 indexed citations
19.
Meier, Daniel M., Cyrill Stachniss, & Wolfram Burgard. (2006). COOPERATIVE EXPLORATION WITH MULTIPLE ROBOTS USING LOW BANDWIDTH COMMUNICATION. European Radiology. 33(5). 3455–3466. 3 indexed citations
20.
Rottmann, Axel, Óscar Martínez Mozos, Cyrill Stachniss, & Wolfram Burgard. (2005). Semantic place classification of indoor environments with mobile robots using boosting. Lincoln Repository (University of Lincoln). 1306–1311. 76 indexed citations

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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