Jeff Delaune

495 citations
29 papers · 278 · h-index 10

Impact in

Papers in

Jeff Delaune

28 papers receiving 269 citations

Peers

Jeff Delaune
Comparison fields: 5 of 43
  • Aerospace Engineering 224
  • Computer Vision and Pattern Recognition 115
  • Geology 29
  • Astronomy and Astrophysics 57
  • Ocean Engineering 21
Replace Michael Paton with:
Michael Paton United States
Brent Tweddle United States
Riccardo Giubilato Italy
Shreyansh Daftry United States
David Zhu United States
Gianfranco Visentin Netherlands
Pierre Moreels United States
Dehann Fourie United States
Xuanbin Wang China
Tomáš Báča Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Jeff Delaune

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Delaune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Delaune, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Delaune Line = papers co-authored together Jeff Delaune links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202245
2 201935
3 201932
4 201931
5 201619
6 202112
7 202011
8 202410
9 202210
10 202010
11 20218
12 20207
13 20107
14 20246
15 20225
16 20214
17 20224
18 20184
19 20193
20 20213

About Jeff Delaune

Jeff Delaune is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Geology and Ocean Engineering, having authored 29 papers that have together received 278 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), Robotic Path Planning Algorithms (11 papers), Advanced Vision and Imaging (7 papers), Spacecraft Dynamics and Control (7 papers), 3D Surveying and Cultural Heritage (6 papers), Aerospace Engineering and Energy Systems (5 papers), Planetary Science and Exploration (4 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Aerospace Engineering (224 citations), Computer Vision and Pattern Recognition (115 citations), Geology (29 citations), Astronomy and Astrophysics (57 citations) and Ocean Engineering (21 citations). Jeff Delaune has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Larry Matthies, Roland Brockers, Robert A. Hewitt, Davide Scaramuzza, Benjamin Morrell, David S. Bayard, Daniel Gehrig, A. Miguel San Martin, Gene Merewether and Travis Brown. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Robotics and Autonomous Systems, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 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.

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