Benjamin Morrell

27 papers receiving 496 citations

Peers

Benjamin Morrell
Comparison fields: 5 of 55
  • Geology 97
  • Aerospace Engineering 401
  • Computer Vision and Pattern Recognition 258
  • Ocean Engineering 51
  • Environmental Engineering 45
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Abel Gawel Switzerland
Yun Chang United States
Zachary Omohundro United States
Lina María Paz Spain
Muqing Cao Singapore
Titus Cieslewski Switzerland
Pedro Piniés Spain
Chi Hay Tong Canada
Samuel Prentice United States
Wenliang Gao Hong Kong
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Citations per year

Countries citing papers authored by Benjamin Morrell

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Morrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Morrell, 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 Benjamin Morrell Line = papers co-authored together Benjamin Morrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 202299
3 202277
4 202238
5 202027
6 202223
7 201822
8 201818
9 202112
10 201711
11 20249
12 20208
13 20247
14 20217
15 20197
16 20205
17 20145
18 20225
19 20214
20 20194

About Benjamin Morrell

Benjamin Morrell is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Astronomy and Astrophysics and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 520 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (19 papers), Robotic Path Planning Algorithms (13 papers), Indoor and Outdoor Localization Technologies (4 papers), Modular Robots and Swarm Intelligence (4 papers), Planetary Science and Exploration (4 papers), Space Satellite Systems and Control (3 papers), Underwater Vehicles and Communication Systems (3 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Geology (97 citations), Aerospace Engineering (401 citations), Computer Vision and Pattern Recognition (258 citations), Ocean Engineering (51 citations) and Environmental Engineering (45 citations). Benjamin Morrell has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Ali‐akbar Agha‐mohammadi, Luca Carlone, Kamak Ebadi, Yun Chang, Matteo Palieri, Andrzej Reinke, Nobuhiro Funabiki, Jeremy Nash, Christopher E. Denniston and Abhishek Thakur. Their work appears in journals such as IEEE Robotics and Automation Letters, Acta Astronautica, Advances in Space Research, Frontiers in Robotics and AI and Applied Mechanics and Materials.

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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