Benedikt Mersch

1.1k total citations · 1 hit paper
17 papers, 647 citations indexed

About

Benedikt Mersch is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Benedikt Mersch has authored 17 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 5 papers in Geology. Recurrent topics in Benedikt Mersch's work include Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Neural Network Applications (5 papers). Benedikt Mersch is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Neural Network Applications (5 papers). Benedikt Mersch collaborates with scholars based in Germany, United Kingdom and South Korea. Benedikt Mersch's co-authors include Cyrill Stachniss, Jens Behley, Ignacio Vizzo, Louis Wiesmann, Xieyuanli Chen, Tiziano Guadagnino, Lucas Nunes, Shijie Li, Jürgen Gall and Ribana Roscher and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Benedikt Mersch

16 papers receiving 621 citations

Hit Papers

align trajectories

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.

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 →

Peers

Benedikt Mersch

AE

CVPR

EE

GEOLO

AE

Louis Wiesmann Germany

Hyungtae Lim South Korea

Zeyu Hu China

Masashi Yokozuka Japan

Ryan W. Wolcott United States

Tiziano Guadagnino Germany

Igor Bogoslavskyi Germany

Renaud Dubé Switzerland

Shunbo Zhou China

Huan Yin China

Louis Wiesmann Germany

Benedikt Mersch

459 ×1.1

AE

357 ×1.0

CVPR

241 ×1.2

EE

225 ×1.2

GEOLO

75 ×0.7

AE

Citations per year, relative to Benedikt Mersch Benedikt Mersch (= 1×) peers Louis Wiesmann

Countries citing papers authored by Benedikt Mersch

Since Specialization

Citations

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

Fields of papers citing papers by Benedikt Mersch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedikt Mersch

This figure shows the co-authorship network connecting the top 25 collaborators of Benedikt Mersch. A scholar is included among the top collaborators of Benedikt Mersch 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 Benedikt Mersch. Benedikt Mersch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

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.

2.

Guadagnino, Tiziano, et al.. (2025). Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces. 11090–11096. 2 indexed citations

3.

Guadagnino, Tiziano, et al.. (2024). Effectively Detecting Loop Closures using Point Cloud Density Maps. 10260–10266. 10 indexed citations

4.

Lim, Hyungtae, et al.. (2024). HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors. 14087–14094. 4 indexed citations

5.

Nunes, Lucas, et al.. (2024). Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. 14770–14780. 11 indexed citations

6.

Mersch, Benedikt, et al.. (2024). Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization. IEEE Robotics and Automation Letters. 9(4). 3546–3553. 1 indexed citations

7.

Mersch, Benedikt, et al.. (2023). Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. IEEE Transactions on Robotics. 40. 2357–2372. 6 indexed citations

8.

Lim, Hyungtae, Lucas Nunes, Benedikt Mersch, et al.. (2023). ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. 20 indexed citations

9.

Vizzo, Ignacio, Benedikt Mersch, Lucas Nunes, et al.. (2023). Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. 5838–5845. 1 indexed citations

10.

Mersch, Benedikt, Tiziano Guadagnino, Xieyuanli Chen, et al.. (2023). Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. IEEE Robotics and Automation Letters. 8(8). 5180–5187. 24 indexed citations

11.

Vizzo, Ignacio, Tiziano Guadagnino, Benedikt Mersch, et al.. (2023). KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way. IEEE Robotics and Automation Letters. 8(2). 1029–1036. 239 indexed citations breakdown →

12.

Mersch, Benedikt, Xieyuanli Chen, Ignacio Vizzo, et al.. (2022). Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. IEEE Robotics and Automation Letters. 7(3). 7503–7510. 63 indexed citations

13.

Vizzo, Ignacio, et al.. (2022). Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. IEEE Robotics and Automation Letters. 7(3). 8534–8541. 13 indexed citations

14.

Chen, Xieyuanli, Benedikt Mersch, Lucas Nunes, et al.. (2022). Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. IEEE Robotics and Automation Letters. 7(3). 6107–6114. 72 indexed citations

15.

Chen, Xieyuanli, Shijie Li, Benedikt Mersch, et al.. (2021). Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics and Automation Letters. 6(4). 6529–6536. 153 indexed citations

16.

Mersch, Benedikt, et al.. (2021). Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4888–4895. 25 indexed citations

17.

Mersch, Benedikt, et al.. (2021). Embedded Stochastic Field Exploration with Micro Diving Agents using Bayesian Optimization-Guided Tree-Search and GMRFs. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3 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.

Explore authors with similar magnitude of impact