Harshala Gammulle
-
- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 3
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems 1
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
-
- Gait Recognition and Analysis 1
-
- Autism Spectrum Disorder Research 2
-
- Air Quality and Health Impacts 1
- Co-authors
- Simon DenmanClinton FookesSridha SridharanDavid Ahmedt‐AristizabalTharindu FernandoPengbo WeiMohammad Ali ArminLachlan Tychsen-Smith
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Transactions on Image Processing (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- AustraliaUnited StatesIraq
In The Last Decade
Harshala Gammulle
11 papers receiving 308 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 254
- Human-Computer Interaction 49
- Artificial Intelligence 152
- Computational Mathematics 2
- Biomedical Engineering 64
Countries citing papers authored by Harshala Gammulle
This map shows the geographic impact of Harshala Gammulle'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 Harshala Gammulle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshala Gammulle more than expected).
Fields of papers citing papers by Harshala Gammulle
This network shows the impact of papers produced by Harshala Gammulle. 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 Harshala Gammulle. The network helps show where Harshala Gammulle may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Harshala Gammulle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 8 | |
| 8 | 2021 | 36 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 48 | |
| 12 | 2019 | 16 | |
| 13 | 2017 | 123 | |
| 14 | 2015 | 8 |
About Harshala Gammulle
Harshala Gammulle is a scholar working on Computer Vision and Pattern Recognition, Occupational Therapy and Artificial Intelligence, having authored 14 papers that have together received 315 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (5 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers), Autism Spectrum Disorder Research (2 papers), Hand Gesture Recognition Systems (1 paper), Air Quality and Health Impacts (1 paper) and Gait Recognition and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Human-Computer Interaction (49 citations) and Artificial Intelligence (152 citations). Harshala Gammulle has collaborated with scholars based in Australia, United States and Iraq. Frequent co-authors include Simon Denman, Clinton Fookes, Sridha Sridharan, David Ahmedt‐Aristizabal, Tharindu Fernando, Pengbo Wei, Mohammad Ali Armin, Lachlan Tychsen-Smith, Lars Petersson and Yuantong Gu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and ACM Computing Surveys.
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.