Martin R. Oswald
- Geology top 2%
- 3D Surveying and Cultural Heritage 12
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- Computer Graphics and Visualization Techniques 9
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- Advanced Vision and Imaging 27
- Advanced Image and Video Retrieval Techniques 10
- Advanced Neural Network Applications 7
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 21
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 5
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- 3D Shape Modeling and Analysis 7
- Co-authors
- Marc PollefeysViktor LarssonZhaopeng CuiSongyou PengZihan ZhuWeiwei XuHujun BaoLuc Van Gool
- Journals
- Scientific Reports (1 paper)IEEE Transactions on Robotics (1 paper)Powder Technology (1 paper)
- Partner nations
- SwitzerlandNetherlandsUnited States
In The Last Decade
Martin R. Oswald
54 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Geology 280
- Computer Graphics and Computer-Aided Design 137
- Computer Vision and Pattern Recognition 793
- Aerospace Engineering 628
- Environmental Engineering 158
Countries citing papers authored by Martin R. Oswald
This map shows the geographic impact of Martin R. Oswald'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 Martin R. Oswald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin R. Oswald more than expected).
Fields of papers citing papers by Martin R. Oswald
This network shows the impact of papers produced by Martin R. Oswald. 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 Martin R. Oswald. The network helps show where Martin R. Oswald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin R. Oswald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 35 | |
| 12 | NICE-SLAM: Neural Implicit Scalable Encoding for SLAMbreakdown → | 2022 | 431 |
| 13 | 2020 | 37 | |
| 14 | Fast and Accurate Mapping for Autonomous Racing. | 2020 | 2 |
| 15 | 2018 | 14 | |
| 16 | Plane-based Surface Regularization for Urban 3D Reconstruction | 2017 | 9 |
| 17 | 2017 | 6 | |
| 18 | 2015 | 16 | |
| 19 | 2012 | 12 | |
| 20 | 2006 | 11 |
About Martin R. Oswald
Martin R. Oswald is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Robotics and Sensor-Based Localization (21 papers), 3D Surveying and Cultural Heritage (12 papers), Advanced Image and Video Retrieval Techniques (10 papers), Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Neural Network Applications (7 papers) and Remote Sensing and LiDAR Applications (5 papers). The work is most often cited by research in Geology (280 citations), Computer Graphics and Computer-Aided Design (137 citations) and Computer Vision and Pattern Recognition (793 citations). Martin R. Oswald has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Marc Pollefeys, Viktor Larsson, Zhaopeng Cui, Songyou Peng, Zihan Zhu, Weiwei Xu, Hujun Bao, Luc Van Gool, Erik Sandström and Yue Li. Their work appears in journals such as Scientific Reports, IEEE Transactions on Robotics and Powder Technology.
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.