Nathan Hughes
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Geology
- Co-authors
- Luca CarloneYun ChangJohn GriffithJared StraderRajat TalakAaron RayJinyi WangDominic Maggio
- Topics
- Robotics and Sensor-Based Localization (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)Robotic Path Planning Algorithms (3 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Robotics and Automation Letters2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- United StatesSweden
In The Last Decade
Nathan Hughes
10 papers receiving 204 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 147
- Aerospace Engineering 96
- Artificial Intelligence 45
- Control and Systems Engineering 25
- Geology 22
Countries citing papers authored by Nathan Hughes
This map shows the geographic impact of Nathan Hughes'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 Nathan Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Hughes more than expected).
Fields of papers citing papers by Nathan Hughes
This network shows the impact of papers produced by Nathan Hughes. 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 Nathan Hughes. The network helps show where Nathan Hughes may publish in the future.
Co-authorship network of co-authors of Nathan Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Hughes. A scholar is included among the top collaborators of Nathan Hughes 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 Nathan Hughes. Nathan Hughes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 28 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 38 | |
| 6 | 102 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | Digital image analysis of two phase flow data | 3 |
| 10 | 1 |
About Nathan Hughes
Nathan Hughes is a scholar working on Computer Vision and Pattern Recognition, Museology and Human-Computer Interaction, having authored 10 papers that have together received 217 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Geology (22 citations) and Aerospace Engineering (96 citations). Nathan Hughes has collaborated with scholars based in United States and Sweden. Frequent co-authors include Luca Carlone, Yun Chang, John Griffith, Jared Strader, Rajat Talak, Aaron Ray, Jinyi Wang, Dominic Maggio, Alberto Speranzon and Oskar Juhlin. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).
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.