Erik Stenborg
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in ⓘ
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- Robotics and Sensor-Based Localization 4
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- Target Tracking and Data Fusion in Sensor Networks 3
- Co-authors
- Lars Hammarstrand (5 shared papers)Torsten Sattler (2 shared papers)Fredrik Kahl (1 shared paper)Akihiko Torii (1 shared paper)Masatoshi Okutomi (1 shared paper)Josef Šivic (1 shared paper)Tomáš Pajdla (1 shared paper)Will Maddern (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)The International Hydrographic Review (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)Chalmers Research (Chalmers University of Technology) (3 papers)
In The Last Decade
Erik Stenborg
7 papers receiving 171 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 122
- Aerospace Engineering 124
- Geology 18
- Automotive Engineering 22
- Environmental Engineering 16
Countries citing papers authored by Erik Stenborg
This map shows the geographic impact of Erik Stenborg'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 Erik Stenborg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Stenborg more than expected).
Fields of papers citing papers by Erik Stenborg
This network shows the impact of papers produced by Erik Stenborg. 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 Erik Stenborg. The network helps show where Erik Stenborg may publish in the future.
Co-authors
The 13 scholars most cited alongside Erik Stenborg, 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 | 2020 | 113 | |
| 2 | 2014 | 32 | |
| 3 | 2024 | 10 | |
| 4 | 2020 | 9 | |
| 5 | The Swedish Parallel Sounding Method State of the Art | 2015 | 4 |
| 6 | 2016 | 3 | |
| 7 | 2024 | 1 |
About Erik Stenborg
Erik Stenborg is a scholar working on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Oceanography and Ocean Engineering, having authored 7 papers that have together received 172 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (1 paper), Time Series Analysis and Forecasting (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Underwater Acoustics Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Aerospace Engineering (124 citations), Geology (18 citations), Automotive Engineering (22 citations) and Environmental Engineering (16 citations). Erik Stenborg has collaborated with scholars based in Sweden, Czechia and Japan. Frequent co-authors include Lars Hammarstrand, Torsten Sattler, Fredrik Kahl, Akihiko Torii, Masatoshi Okutomi, Josef Šivic, Tomáš Pajdla, Will Maddern, Marc Pollefeys and Carl Toft. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Hydrographic Review, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Chalmers Research (Chalmers University of 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.