Nathaniel Fairfield

732 citations
15 papers · 525 indexed · h-index 11
Topics
Robotics and Sensor-Based Localization (9 papers)Robotic Path Planning Algorithms (6 papers)Underwater Vehicles and Communication Systems (5 papers)
Partner nations
United StatesItaly

In The Last Decade

Nathaniel Fairfield

14 papers receiving 492 citations

Peers

Nathaniel Fairfield
Comparison fields: 5 of 67
  • Aerospace Engineering 275
  • Computer Vision and Pattern Recognition 245
  • Ocean Engineering 173
  • Automotive Engineering 82
  • Electrical and Electronic Engineering 77
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Yonghoon Ji Japan
Junichi MEGURO Japan
Andrew Tinka United States
Yuwei Cheng China
Zhipeng Deng China
M. Marra United States
Hai Huang China
Kane Usher Australia
Siyu Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Nathaniel Fairfield

Since Specialization
Citations

This map shows the geographic impact of Nathaniel Fairfield'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 Nathaniel Fairfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Fairfield more than expected).

Fields of papers citing papers by Nathaniel Fairfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel Fairfield. 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 Nathaniel Fairfield. The network helps show where Nathaniel Fairfield may publish in the future.

Co-authorship network of co-authors of Nathaniel Fairfield

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Fairfield. A scholar is included among the top collaborators of Nathaniel Fairfield 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 Nathaniel Fairfield. Nathaniel Fairfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 142
3 32
4
Localization, mapping, and planning in 3d environments
11
5 13
6 22
7 19
8 25
9 38
10 163
11 34
12 7
13 4
14 12
15
Mobile robot localization with sparse landmarks.
3

About Nathaniel Fairfield

Nathaniel Fairfield is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 15 papers that have together received 525 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (6 papers) and Underwater Vehicles and Communication Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Ocean Engineering (173 citations) and Aerospace Engineering (275 citations). Nathaniel Fairfield has collaborated with scholars based in United States and Italy. Frequent co-authors include David Wettergreen, George Kantor, Chris Urmson, William C. Stone, Jason W. Sahl, Bruce Maxwell, John R. Spear, J. Kirk Harris, John M. Sharp and Paul E. Dickson. Their work appears in journals such as The International Journal of Robotics Research, Journal of Field Robotics and Astrobiology.

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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