Edward Johns
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 14
- Multimodal Machine Learning Applications 6
- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 4
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- Robotics and Sensor-Based Localization 14
- Co-authors
- Andrew J. Davison (4 shared papers)Shikun Liu (3 shared papers)Guang‐Zhong Yang (15 shared papers)Stefan Leutenegger (1 shared paper)Norman Di Palo (7 shared papers)Guillermo Garcia-Hernando (1 shared paper)Claire Pettitt (1 shared paper)Gary Frost (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Journal of Computer Vision (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Edward Johns
37 papers receiving 1.6k citations
Edward Johns's Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 861
- Artificial Intelligence 552
- Control and Systems Engineering 309
- Human-Computer Interaction 75
- Aerospace Engineering 291
Countries citing papers authored by Edward Johns
This map shows the geographic impact of Edward Johns'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 Edward Johns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Johns more than expected).
Fields of papers citing papers by Edward Johns
This network shows the impact of papers produced by Edward Johns. 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 Edward Johns. The network helps show where Edward Johns may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Johns, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | End-To-End Multi-Task Learning With Attention Hit paper breakdown → | 2019 | 774 |
| 2 | 2016 | 158 | |
| 3 | 2012 | 98 | |
| 4 | 2017 | 81 | |
| 5 | 2013 | 73 | |
| 6 | 2023 | 54 | |
| 7 | 2020 | 43 | |
| 8 | 2015 | 38 | |
| 9 | 2021 | 34 | |
| 10 | 2013 | 26 | |
| 11 | 2024 | 24 | |
| 12 | 2011 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2024 | 16 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 12 |
About Edward Johns
Edward Johns is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Robotics and Sensor-Based Localization (14 papers), Robot Manipulation and Learning (10 papers), Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (6 papers), Advanced Vision and Imaging (6 papers), Reinforcement Learning in Robotics (6 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (861 citations), Artificial Intelligence (552 citations), Control and Systems Engineering (309 citations), Human-Computer Interaction (75 citations) and Aerospace Engineering (291 citations). Edward Johns has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Andrew J. Davison, Shikun Liu, Guang‐Zhong Yang, Stefan Leutenegger, Norman Di Palo, Guillermo Garcia-Hernando, Claire Pettitt, Gary Frost, Louis Atallah and Tae‐Kyun Kim. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, International Journal of Computer Assisted Radiology and Surgery and Lecture notes in computer science.
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.