S.J. McKenna
- Computer Vision and Pattern Recognition top 0.5%
- Oral Surgery top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Co-authors
- Shaogang GongYogesh RajaSebastian SteinHammadi Nait‐CharifHarry WechslerAzriel RosenfeldZoran ĐurićTimothy J. Roberts
- Topics
- Video Surveillance and Tracking Methods (25 papers)AI in cancer detection (17 papers)Image Retrieval and Classification Techniques (16 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
S.J. McKenna
167 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 2.0k
- Oral Surgery 674
- Artificial Intelligence 651
- Biomedical Engineering 371
- Plant Science 307
Countries citing papers authored by S.J. McKenna
This map shows the geographic impact of S.J. McKenna'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 S.J. McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. McKenna more than expected).
Fields of papers citing papers by S.J. McKenna
This network shows the impact of papers produced by S.J. McKenna. 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 S.J. McKenna. The network helps show where S.J. McKenna may publish in the future.
Co-authorship network of co-authors of S.J. McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of S.J. McKenna. A scholar is included among the top collaborators of S.J. McKenna 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 S.J. McKenna. S.J. McKenna 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 | 11 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 23 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | Markerless human motion capture using charting and manifold constrained particle swarm optimisation | 6 |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 409 | |
| 17 | Scenario-based Drama as a Tool for Investigating User Requirements with Application to Home Monitoring for Elderly People | 17 |
| 18 | 27 | |
| 19 | 2 | |
| 20 | A comparison of neural network architectures for cervical cell classification | 9 |
About S.J. McKenna
S.J. McKenna is a scholar working on Complementary and Manual Therapy, Computer Vision and Pattern Recognition and Anesthesiology and Pain Medicine, having authored 175 papers that have together received 4.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), AI in cancer detection (17 papers) and Image Retrieval and Classification Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Oral Surgery (674 citations) and Orthodontics (257 citations). S.J. McKenna has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Shaogang Gong, Yogesh Raja, Sebastian Stein, Hammadi Nait‐Charif, Harry Wechsler, Azriel Rosenfeld, Zoran Đurić, Timothy J. Roberts, Tracy A. Valentine and A. Glyn Bengough. Their work appears in journals such as Cancer Research, Scientific Reports and International Journal of Molecular Sciences.
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.