Konrad Schindler

24.2k total citations · 13 hit papers
202 papers, 12.4k citations indexed

About

Konrad Schindler is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Konrad Schindler has authored 202 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 58 papers in Aerospace Engineering and 46 papers in Environmental Engineering. Recurrent topics in Konrad Schindler's work include Robotics and Sensor-Based Localization (51 papers), Advanced Vision and Imaging (48 papers) and Remote Sensing and LiDAR Applications (44 papers). Konrad Schindler is often cited by papers focused on Robotics and Sensor-Based Localization (51 papers), Advanced Vision and Imaging (48 papers) and Remote Sensing and LiDAR Applications (44 papers). Konrad Schindler collaborates with scholars based in Switzerland, Germany and United States. Konrad Schindler's co-authors include Jan Dirk Wegner, Luc Van Gool, Stefan Roth, Andreas Ess, Silvano Galliani, Anton Milan, Katrin Lasinger, Bastian Leibe, Timo Häckel and Charis Lanaras and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.

In The Last Decade

Konrad Schindler

194 papers receiving 12.0k citations

Hit Papers

You'll never walk alone: Modeling social behavior for mul... 2008 2026 2014 2020 2009 2022 2017 2018 2008 250 500 750
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. You'll never walk alone: Modeling social behavior for multi-target tracking
    2009 979 citations Andreas Ess, Konrad Schindler et al. Lirias (KU Leuven) profile →
  2. Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
    2022 647 citations Konrad Schindler et al. profile →
  3. A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos
    2017 505 citations Silvano Galliani, Konrad Schindler et al. profile →
  4. Classification with an edge: Improving semantic image segmentation \nwith boundary detection
    2018 505 citations Dimitrios Marmanis, Konrad Schindler et al. arXiv (Cornell University) profile →
  5. A mobile vision system for robust multi-person tracking
    2008 478 citations Andreas Ess, Konrad Schindler et al. profile →
  6. PREDATOR: Registration of 3D Point Clouds with Low Overlap
    2021 400 citations Shengyu Huang, Žan Gojčič et al. profile →
  7. Continuous Energy Minimization for Multitarget Tracking
    2013 398 citations Stefan Roth, Konrad Schindler et al. profile →
  8. Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
    2015 360 citations Silvano Galliani, Konrad Schindler et al. profile →
  9. New features and insights for pedestrian detection
    2010 345 citations Konrad Schindler et al. profile →
  10. Hyperspectral Super-Resolution by Coupled Spectral Unmixing
    2015 323 citations Konrad Schindler et al. profile →
  11. A high-resolution canopy height model of the Earth
    2023 273 citations Nico Lang, Walter Jetz et al. Nature Ecology & Evolution profile →
  12. Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
    2024 77 citations Anton Obukhov, Shengyu Huang et al. profile →
  13. Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
    2024 51 citations Stefano Puliti, Konrad Schindler et al. Remote Sensing of Environment profile →

Peers

Konrad Schindler
Cheng Wang China
Hengshuang Zhao Hong Kong
Jonathan Li Canada
Philip H. S. Torr United Kingdom
Ian Reid United Kingdom
Jianping Shi China
Long Quan China
Raquel Urtasun Canada
Yulan Guo China
Jiaya Jia Hong Kong
Cheng Wang China
Konrad Schindler
Citations per year, relative to Konrad Schindler Konrad Schindler (= 1×) peers Cheng Wang

Countries citing papers authored by Konrad Schindler

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Schindler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Schindler

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Schindler. A scholar is included among the top collaborators of Konrad Schindler 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 Konrad Schindler. Konrad Schindler 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.
Sun, Tao, Hao Yan, Silvio Savarese, et al.. (2025). Nothing Stands Still: A spatiotemporal benchmark on 3D point cloud registration under large geometric and temporal change. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 799–823. 3 indexed citations
2.
Leitão, João P., et al.. (2024). Flood Water Depth Prediction with Convolutional Temporal Attention Networks. Water. 16(9). 1286–1286. 6 indexed citations
3.
Liu, Yujia, Anton Obukhov, Jan Dirk Wegner, & Konrad Schindler. (2024). Point2Building: Reconstructing buildings from airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 215. 351–368. 7 indexed citations
4.
Tuia, Devis, Konrad Schindler, Begüm Demir, et al.. (2024). Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward. IEEE Geoscience and Remote Sensing Magazine. 13(4). 119–141. 20 indexed citations
5.
Daudt, Rodrigo Caye, et al.. (2023). Urban Change Forecasting from Satellite Images. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 91(6). 443–452. 2 indexed citations
6.
Huang, Shengyu, Žan Gojčič, Zian Wang, et al.. (2023). Neural LiDAR Fields for Novel View Synthesis. 18190–18200. 30 indexed citations
7.
Techel, Frank, et al.. (2023). Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice. Natural hazards and earth system sciences. 23(8). 2895–2914. 6 indexed citations
8.
Kalischek, Nikolai, Nico Lang, Rodrigo Caye Daudt, et al.. (2023). Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana. Nature Food. 4(5). 384–393. 48 indexed citations
9.
Lang, Nico, Walter Jetz, Konrad Schindler, & Jan Dirk Wegner. (2023). A high-resolution canopy height model of the Earth. Nature Ecology & Evolution. 7(11). 1778–1789. 273 indexed citations breakdown →
10.
Garnot, Vivien Sainte Fare, et al.. (2023). U-TILISE: A Sequence-to-Sequence Model for Cloud Removal in Optical Satellite Time Series. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 22 indexed citations
11.
Daudt, Rodrigo Caye, et al.. (2023). Snow depth estimation at country-scale with high spatial and temporal resolution. ISPRS Journal of Photogrammetry and Remote Sensing. 197. 105–121. 21 indexed citations
12.
Russo, Stefania, et al.. (2022). Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles. ISPRS Journal of Photogrammetry and Remote Sensing. 195. 269–286. 35 indexed citations
13.
Lang, Nico, Nikolai Kalischek, John Armston, et al.. (2021). Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. Remote Sensing of Environment. 268. 112760–112760. 151 indexed citations
14.
Lang, Nico, et al.. (2021). GRAINet: mapping grain size distributions in river beds from UAV images with convolutional neural networks. Hydrology and earth system sciences. 25(5). 2567–2597. 41 indexed citations
15.
Lang, Nico, Konrad Schindler, & Jan Dirk Wegner. (2019). Country-wide high-resolution vegetation height mapping with Sentinel-2. Remote Sensing of Environment. 233. 111347–111347. 141 indexed citations
16.
D’Aronco, Stefano, et al.. (2019). Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation.. arXiv (Cornell University). 1 indexed citations
17.
Marmanis, Dimitrios, Konrad Schindler, Jan Dirk Wegner, et al.. (2018). Classification with an edge: Improving semantic image segmentation \nwith boundary detection. arXiv (Cornell University). 505 indexed citations breakdown →
18.
Schindler, Konrad, et al.. (2012). Discrete-continuous optimization for multi-target tracking. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1926–1933. 224 indexed citations
19.
Schindler, Konrad, et al.. (2011). Multi-target tracking by continuous energy minimization. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1265–1272. 211 indexed citations
20.
Ess, Andreas, et al.. (2009). You'll never walk alone: Modeling social behavior for multi-target tracking. Lirias (KU Leuven). 261–268. 979 indexed citations breakdown →

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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