Robert Siddall

1.1k citations
22 papers · 792 · h-index 16

Impact in

Papers in

Robert Siddall

22 papers receiving 779 citations

Peers

Robert Siddall
Comparison fields: 5 of 76
  • Ocean Engineering 383
  • Aerospace Engineering 463
  • Computer Vision and Pattern Recognition 165
  • Condensed Matter Physics 89
  • Biomedical Engineering 246
Replace Raphael Zufferey with:
Raphael Zufferey United Kingdom
J. Sean Humbert United States
Jianhong Liang China
Sophie F. Armanini United Kingdom
Yueri Cai China
Maarja Kruusmaa Estonia
Vladislav Kopman United States
Xingbang Yang China
Alexis Lussier Desbiens Canada
Jindong Liu China
Robert Siddall relative to Raphael Zufferey United Kingdom Raphael Zufferey's profile →
Citations per field
00.5×1.5×2.3×
Raphael Zufferey · 1×
Citations per year

Countries citing papers authored by Robert Siddall

Since Specialization
Citations

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

Fields of papers citing papers by Robert Siddall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2016111
3 201983
4 201667
5 202152
6 201750
7 201947
8 202132
9 201932
10 201730
11 201526
12 202123
13 202117
14 202117
15 202216
16 200315
17 202310
18 20197
19 20236
20 20246

About Robert Siddall

Robert Siddall is a scholar working on Aerospace Engineering, Ocean Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 22 papers that have together received 792 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (11 papers), Biomimetic flight and propulsion mechanisms (11 papers), Robotic Locomotion and Control (8 papers), Robotic Path Planning Algorithms (7 papers), Modular Robots and Swarm Intelligence (4 papers), Soft Robotics and Applications (3 papers), Micro and Nano Robotics (3 papers) and Aerospace Engineering and Energy Systems (2 papers). The work is most often cited by research in Ocean Engineering (383 citations), Aerospace Engineering (463 citations), Computer Vision and Pattern Recognition (165 citations), Condensed Matter Physics (89 citations) and Biomedical Engineering (246 citations). Robert Siddall has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Mirko Kovač, Ardian Jusufi, Sophie F. Armanini, Raphael Zufferey, Yu Herng Tan, Greg Byrnes, André Farinha, Toshihiko Fukushima, Robert J. Full and Hai-Nguyen Nguyen. Their work appears in journals such as Bioinspiration & Biomimetics, IEEE Robotics and Automation Letters, Integrative and Comparative Biology, Advanced Robotics and Frontiers in Behavioral Neuroscience.

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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