Nathan Hughes

418 total citations
10 papers, 217 citations indexed

About

Nathan Hughes is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Nathan Hughes has authored 10 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 2 papers in Ocean Engineering. Recurrent topics in Nathan Hughes's work include Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotic Path Planning Algorithms (3 papers). Nathan Hughes is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotic Path Planning Algorithms (3 papers). Nathan Hughes collaborates with scholars based in United States and Sweden. Nathan Hughes's co-authors include Luca Carlone, Yun Chang, John Griffith, Jared Strader, Rajat Talak, Aaron Ray, Jinyi Wang, Oskar Juhlin, Lukas Schmid and Dominic Maggio and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Nathan Hughes

10 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Hughes United States 6 147 96 45 25 22 10 217
Hansheng Chen China 7 229 1.6× 128 1.3× 23 0.5× 65 2.6× 34 1.5× 11 317
Haozhi Cao Singapore 9 100 0.7× 38 0.4× 73 1.6× 20 0.8× 19 0.9× 20 191
Andrew J. Davison United Kingdom 6 127 0.9× 129 1.3× 20 0.4× 18 0.7× 34 1.5× 13 221
Alessio Tonioni Italy 11 284 1.9× 40 0.4× 84 1.9× 24 1.0× 14 0.6× 18 391
Yuheng Qiu United States 5 221 1.5× 188 2.0× 32 0.7× 15 0.6× 59 2.7× 10 299
Guoxin Zhang China 6 232 1.6× 105 1.1× 43 1.0× 11 0.4× 24 1.1× 9 331
Stefan Milz Germany 6 93 0.6× 90 0.9× 41 0.9× 11 0.4× 44 2.0× 10 191
Tanmay Gupta India 7 159 1.1× 27 0.3× 81 1.8× 12 0.5× 32 1.5× 14 269
Rohit Mohan India 8 166 1.1× 46 0.5× 52 1.2× 13 0.5× 22 1.0× 24 257

Countries citing papers authored by Nathan Hughes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Maggio, Dominic, et al.. (2024). Clio: Real-Time Task-Driven Open-Set 3D Scene Graphs. IEEE Robotics and Automation Letters. 9(10). 8921–8928. 16 indexed citations
2.
Hughes, Nathan, et al.. (2024). Foundations of spatial perception for robotics: Hierarchical representations and real-time systems. The International Journal of Robotics Research. 43(10). 1457–1505. 28 indexed citations
3.
Strader, Jared, et al.. (2024). Indoor and Outdoor 3D Scene Graph Generation Via Language-Enabled Spatial Ontologies. IEEE Robotics and Automation Letters. 9(6). 4886–4893. 11 indexed citations
4.
Chang, Yun, Nathan Hughes, Aaron Ray, & Luca Carlone. (2023). Hydra-Multi: Collaborative Online Construction of 3D Scene Graphs with Multi-Robot Teams. 10995–11002. 10 indexed citations
5.
Hughes, Nathan, et al.. (2022). Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks. 2022 International Conference on Robotics and Automation (ICRA). 9272–9279. 38 indexed citations
6.
Hughes, Nathan, Yun Chang, & Luca Carlone. (2022). Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization. 102 indexed citations
7.
Wang, Jinyi, Oskar Juhlin, & Nathan Hughes. (2017). Fashion Film as Design Fiction for Wearable Concepts. 461–461. 5 indexed citations
8.
Macker, Joseph P., et al.. (2014). Improving Routing Path Stability in Mobile Ad Hoc Networks That Use a CDS Control Plane. 1099–1104. 3 indexed citations
9.
Hughes, Nathan, et al.. (1980). Digital image analysis of two phase flow data. Defense Technical Information Center (DTIC). 3 indexed citations
10.
Hughes, Nathan, et al.. (1979). <title>Numerical Hydrodynamics Data From Digital Image Arrays</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 155. 191–198. 1 indexed citations

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.

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