Hans Wehn
Impact in
- Ocean Engineering top 5%
- Maritime Navigation and Safety
- Transportation top 10%
- Maritime Security and History
Papers in
-
- AI-based Problem Solving and Planning 7
- Anomaly Detection Techniques and Applications 5
- Bayesian Modeling and Causal Inference 4
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- Maritime Navigation and Safety 10
- Co-authors
- Uwe Glässer (12 shared papers)Pierre Bélanger (1 shared paper)Bernhard Rabus (1 shared paper)Matt Nolan (1 shared paper)Mohammad A. Tayebi (4 shared papers)Pierre Valin (5 shared papers)Ke Wang (1 shared paper)Parvaneh Saeedi (1 shared paper)
- Journals
- IEEE Transactions on Robotics and Automation (1 paper)Canadian Journal of Remote Sensing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)International Conference on Information Fusion (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Hans Wehn
24 papers receiving 266 citations
Peers
Comparison fields: 5 of 60
- Ocean Engineering 135
- Transportation 36
- Artificial Intelligence 95
- Environmental Engineering 40
- Signal Processing 28
Countries citing papers authored by Hans Wehn
This map shows the geographic impact of Hans Wehn'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 Hans Wehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Wehn more than expected).
Fields of papers citing papers by Hans Wehn
This network shows the impact of papers produced by Hans Wehn. 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 Hans Wehn. The network helps show where Hans Wehn may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Wehn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 50 | |
| 2 | 2010 | 45 | |
| 3 | 2015 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2014 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2019 | 15 | |
| 8 | 2007 | 13 | |
| 9 | 2007 | 12 | |
| 10 | 2007 | 12 | |
| 11 | 2010 | 6 | |
| 12 | 2010 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2011 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2003 | 3 | |
| 19 | HIGH RESOLUTION DIGITAL SURFACE MODEL (DSM) GENERATION USING MULTI-VIEW MULTI-FRAME DIGITAL AIRBORNE IMAGES | 2002 | 2 |
| 20 | 2007 | 2 |
About Hans Wehn
Hans Wehn is a scholar working on Artificial Intelligence, Ocean Engineering, Environmental Engineering, Ecology and Computer Networks and Communications, having authored 27 papers that have together received 283 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (10 papers), AI-based Problem Solving and Planning (7 papers), Anomaly Detection Techniques and Applications (5 papers), Bayesian Modeling and Causal Inference (4 papers), Remote Sensing and LiDAR Applications (4 papers), Data Management and Algorithms (2 papers), Software Reliability and Analysis Research (2 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Ocean Engineering (135 citations), Transportation (36 citations), Artificial Intelligence (95 citations), Environmental Engineering (40 citations) and Signal Processing (28 citations). Hans Wehn has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Uwe Glässer, Pierre Bélanger, Bernhard Rabus, Matt Nolan, Mohammad A. Tayebi, Pierre Valin, Ke Wang, Parvaneh Saeedi, Zhenhua Li and Piper Jackson. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Canadian Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Conference on Information Fusion and 2021 IEEE International Conference on Big Data (Big Data).
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.