David P. Noonan
- Biomedical Engineering top 5%
- Surgery top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Guang‐Zhong YangAra DarziChristopher J. PayneJianzhong ShangJane ClarkLakmal SeneviratneKaspar AlthoeferMikael H. Sodergren
- Topics
- Soft Robotics and Applications (13 papers)Surgical Simulation and Training (12 papers)Minimally Invasive Surgical Techniques (10 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSurgical EndoscopyLecture notes in computer science
- Partner nations
- United KingdomJordanAustralia
In The Last Decade
David P. Noonan
23 papers receiving 686 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 500
- Surgery 332
- Computer Vision and Pattern Recognition 174
- Control and Systems Engineering 83
- Mechanical Engineering 76
Countries citing papers authored by David P. Noonan
This map shows the geographic impact of David P. Noonan'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 David P. Noonan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Noonan more than expected).
Fields of papers citing papers by David P. Noonan
This network shows the impact of papers produced by David P. Noonan. 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 David P. Noonan. The network helps show where David P. Noonan may publish in the future.
Co-authorship network of co-authors of David P. Noonan
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Noonan. A scholar is included among the top collaborators of David P. Noonan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David P. Noonan. David P. Noonan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 21 | |
| 3 | 69 | |
| 4 | 3 | |
| 5 | 53 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 130 | |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 88 | |
| 14 | 31 | |
| 15 | 34 | |
| 16 | 14 | |
| 17 | 17 | |
| 18 | 17 | |
| 19 | 16 | |
| 20 | 0 |
About David P. Noonan
David P. Noonan is a scholar working on Biomedical Engineering, Surgery and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 698 indexed citations. Recurring topics across this work include Soft Robotics and Applications (13 papers), Surgical Simulation and Training (12 papers) and Minimally Invasive Surgical Techniques (10 papers). The work is most often cited by research in Biomedical Engineering (500 citations), Computer Vision and Pattern Recognition (174 citations) and Surgery (332 citations). David P. Noonan has collaborated with scholars based in United Kingdom, Jordan and Australia. Frequent co-authors include Guang‐Zhong Yang, Ara Darzi, Christopher J. Payne, Jianzhong Shang, Jane Clark, Lakmal Seneviratne, Kaspar Althoefer, Mikael H. Sodergren, Hongbin Liu and George Mylonas. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Surgical Endoscopy and Lecture notes in computer science.
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.