Dylan A. Shell

1.9k citations
106 papers · 1.5k · h-index 19

Impact in

Papers in

Dylan A. Shell

100 papers receiving 1.4k citations

Peers

Dylan A. Shell
Comparison fields: 5 of 109
  • Computer Networks and Communications 458
  • Social Psychology 356
  • Human-Computer Interaction 98
  • Computer Vision and Pattern Recognition 352
  • Artificial Intelligence 475
Replace Nak Young Chong with:
Nak Young Chong Japan
Nilanjan Chakraborty United States
Antonio Sgorbissa Italy
Federico Pecora Sweden
Cipriano Galindo Spain
David Kortenkamp United States
Paul E. Rybski United States
Mauro Dragone Ireland
Andrea Bonarini Italy
Marc Hanheide United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Dylan A. Shell

Since Specialization
Citations

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

Fields of papers citing papers by Dylan A. Shell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan A. Shell. 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 Dylan A. Shell. The network helps show where Dylan A. Shell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006229
2 2007181
3 201267
4 200659
5 201058
6 201151
7 201040
8 201339
9 201538
10 201332
11 200532
12 201125
13 201024
14 201624
15 201123
16 201723
17 201222
18 201121
19 201420
20 201918

About Dylan A. Shell

Dylan A. Shell is a scholar working on Computer Networks and Communications, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optimization and Search Problems (34 papers), Modular Robots and Swarm Intelligence (28 papers), Distributed Control Multi-Agent Systems (22 papers), Robotic Path Planning Algorithms (21 papers), Formal Methods in Verification (11 papers), Robotics and Sensor-Based Localization (10 papers), AI-based Problem Solving and Planning (10 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Computer Networks and Communications (458 citations), Social Psychology (356 citations), Human-Computer Interaction (98 citations), Computer Vision and Pattern Recognition (352 citations) and Artificial Intelligence (475 citations). Dylan A. Shell has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Maja J. Matarić, Lantao Liu, David Feil-Seifer, Evan Drumwright, Changjoo Nam, Jason M. O’Kane, Nathan Koenig, Yulin Zhang, Leonardo Bobadilla and Brittany A. Duncan. Their work appears in journals such as Autonomous Robots, The International Journal of Robotics Research, Springer tracts in advanced robotics, IEEE Transactions on Automation Science and Engineering and IEEE Robotics and Automation Letters.

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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