Michael D. Naish
- Biomedical Engineering top 5%
- Surgery top 10%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Mechanical Engineering top 10%
- Co-authors
- Rajni V. PatelAna Luisa TrejosYue ZhouMary E. JenkinsRichard MalthanerChristopher M. SchlachtaElizabeth A. CroftB. Benhabib
- Topics
- Soft Robotics and Applications (37 papers)Surgical Simulation and Training (31 papers)Neurological disorders and treatments (22 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSensorsThe International Journal of Robotics Research
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Michael D. Naish
96 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 864
- Surgery 494
- Computer Vision and Pattern Recognition 266
- Neurology 208
- Mechanical Engineering 193
Countries citing papers authored by Michael D. Naish
This map shows the geographic impact of Michael D. Naish'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 Michael D. Naish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Naish more than expected).
Fields of papers citing papers by Michael D. Naish
This network shows the impact of papers produced by Michael D. Naish. 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 Michael D. Naish. The network helps show where Michael D. Naish may publish in the future.
Co-authorship network of co-authors of Michael D. Naish
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Naish. A scholar is included among the top collaborators of Michael D. Naish 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 Michael D. Naish. Michael D. Naish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 27 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 45 | |
| 20 | 14 |
About Michael D. Naish
Michael D. Naish is a scholar working on Computer Vision and Pattern Recognition, Neurology and Biomedical Engineering, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (37 papers), Surgical Simulation and Training (31 papers) and Neurological disorders and treatments (22 papers). The work is most often cited by research in Biomedical Engineering (864 citations), Neurology (208 citations) and Computer Vision and Pattern Recognition (266 citations). Michael D. Naish has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Rajni V. Patel, Ana Luisa Trejos, Yue Zhou, Mary E. Jenkins, Richard Malthaner, Christopher M. Schlachta, Elizabeth A. Croft, B. Benhabib, Jagadeesan Jayender and Marie‐Eve LeBel. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and The International Journal of Robotics Research.
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.