Stephen Tully

515 citations
23 papers · 428 · h-index 13

Impact in

Papers in

Stephen Tully

23 papers receiving 415 citations

Peers

Stephen Tully
Comparison fields: 5 of 59
  • Otorhinolaryngology 31
  • Aerospace Engineering 162
  • Computer Vision and Pattern Recognition 129
  • Biomedical Engineering 167
  • Control and Systems Engineering 70
Replace Kwok Wai Samuel Au with:
Kwok Wai Samuel Au Hong Kong
Mahdi Azizian United States
Mali Shen United Kingdom
David LaRose United States
George J. Dwyer United Kingdom
Wuzhou Hong China
Fangxun Zhong Hong Kong
Konrad Leibrandt United Kingdom
T. Ohm United States
Shijian Su China
Stephen Tully relative to Kwok Wai Samuel Au Hong Kong Kwok Wai Samuel Au's profile →
Citations per field
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Kwok Wai Samuel Au · 1×
Citations per year

Countries citing papers authored by Stephen Tully

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Stephen Tully, 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 Stephen Tully Line = papers co-authored together Stephen Tully links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201367
3 201042
4 201139
5 200825
6 201222
7 201518
8 200918
9 200717
10 201414
11 201114
12 201214
13 200913
14 201312
15 201111
16 201211
17 20117
18 20117
19 20122
20 20102

About Stephen Tully

Stephen Tully is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Ocean Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 428 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (16 papers), Soft Robotics and Applications (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Modular Robots and Swarm Intelligence (4 papers), Robotic Path Planning Algorithms (4 papers), Underwater Vehicles and Communication Systems (3 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Otorhinolaryngology (31 citations), Aerospace Engineering (162 citations), Computer Vision and Pattern Recognition (129 citations), Biomedical Engineering (167 citations) and Control and Systems Engineering (70 citations). Stephen Tully has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Howie Choset, George A. Kantor, Marco A. Zenati, Paul J. Johnson, Umamaheswar Duvvuri, Michael D. Castro, Hyungpil Moon, Brett Zubiate, Carlos M. Rivera‐Serrano and Andrea Bajo. Their work appears in journals such as The Laryngoscope, IEEE Transactions on Biomedical Engineering, The International Journal of Robotics Research, Springer tracts in advanced robotics and Proceedings of the AAAI Conference on Artificial Intelligence.

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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