Stewart Massie
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Sociology and Political Science
- Co-authors
- Nirmalie WiratungaAnil BandhakaviSusan CrawGlenn S. ForbesP DeepakAlexander E. I. BrownleeJohn McCallJérémie Clos
- Topics
- Context-Aware Activity Recognition Systems (8 papers)Advanced Text Analysis Techniques (6 papers)Sentiment Analysis and Opinion Mining (4 papers)
- Partner nations
- United KingdomIndiaSpain
In The Last Decade
Stewart Massie
26 papers receiving 390 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 84
- Information Systems 72
- Experimental and Cognitive Psychology 35
- Sociology and Political Science 33
Countries citing papers authored by Stewart Massie
This map shows the geographic impact of Stewart Massie'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 Stewart Massie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stewart Massie more than expected).
Fields of papers citing papers by Stewart Massie
This network shows the impact of papers produced by Stewart Massie. 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 Stewart Massie. The network helps show where Stewart Massie may publish in the future.
Co-authorship network of co-authors of Stewart Massie
This figure shows the co-authorship network connecting the top 25 collaborators of Stewart Massie. A scholar is included among the top collaborators of Stewart Massie 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 Stewart Massie. Stewart Massie 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 | 2 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 26 | |
| 7 | Monitoring health in smart homes using simple sensors. | 4 |
| 8 | Matching networks for personalised human activity recognition. | 1 |
| 9 | 5 | |
| 10 | Designing a personalised case-based recommender system for mobile self-management of diabetes during exercise | 3 |
| 11 | Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH) | 1 |
| 12 | A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. | 9 |
| 13 | Learning deep features for kNN-based human activity recognition. | 14 |
| 14 | Music recommenders: user evaluation without real users? | 3 |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | Informed case base maintenance: a complexity profiling approach | 8 |
| 20 | Complexity-guided case discovery for case based reasoning | 10 |
About Stewart Massie
Stewart Massie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 28 papers that have together received 413 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Advanced Text Analysis Techniques (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Artificial Intelligence (261 citations), Computer Vision and Pattern Recognition (84 citations) and Information Systems (72 citations). Stewart Massie has collaborated with scholars based in United Kingdom, India and Spain. Frequent co-authors include Nirmalie Wiratunga, Anil Bandhakavi, Susan Craw, Glenn S. Forbes, P Deepak, Alexander E. I. Brownlee, John McCall, Jérémie Clos, Tien Thanh Nguyen and Sutanu Chakraborti. Their work appears in journals such as Artificial Intelligence, Pattern Recognition Letters and Artificial Intelligence Review.
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.