Damla Arifoğlu
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
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- Human Mobility and Location-Based Analysis
Papers in
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- Context-Aware Activity Recognition Systems 6
- Handwritten Text Recognition Techniques 2
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- Anomaly Detection Techniques and Applications 3
- Natural Language Processing Techniques 2
- Machine Learning in Healthcare 2
- Co-authors
- Abdelhamid Bouchachia (5 shared papers)Yan Wang (3 shared papers)Pınar Duygulu (4 shared papers)Hongnian Yu (1 shared paper)Zhikang Li (1 shared paper)Arif Reza Anwary (1 shared paper)Hamid Bouchachia (1 shared paper)Zheng Ge (1 shared paper)
- Journals
- Pattern Analysis and Applications (2 papers)Artificial Intelligence in Medicine (1 paper)Electronics (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Sensors (1 paper)
- Partner nations
- United KingdomTürkiyeChina
In The Last Decade
Damla Arifoğlu
12 papers receiving 271 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 199
- Transportation 26
- Artificial Intelligence 124
- Computer Networks and Communications 57
- Health Information Management 11
Countries citing papers authored by Damla Arifoğlu
This map shows the geographic impact of Damla Arifoğlu'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 Damla Arifoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damla Arifoğlu more than expected).
Fields of papers citing papers by Damla Arifoğlu
This network shows the impact of papers produced by Damla Arifoğlu. 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 Damla Arifoğlu. The network helps show where Damla Arifoğlu may publish in the future.
Co-authors
The 10 scholars most cited alongside Damla Arifoğlu, 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 | 2017 | 120 | |
| 2 | 2019 | 86 | |
| 3 | 2020 | 17 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 10 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2021 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2011 | 2 | |
| 12 | Osmanlica belgelerde kelime erişimi | 2011 | 1 |
About Damla Arifoğlu
Damla Arifoğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 12 papers that have together received 285 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), Dementia and Cognitive Impairment Research (4 papers), Anomaly Detection Techniques and Applications (3 papers), Natural Language Processing Techniques (2 papers), Handwritten Text Recognition Techniques (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Machine Learning in Healthcare (2 papers) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Transportation (26 citations), Artificial Intelligence (124 citations), Computer Networks and Communications (57 citations) and Health Information Management (11 citations). Damla Arifoğlu has collaborated with scholars based in United Kingdom, Türkiye and China. Frequent co-authors include Abdelhamid Bouchachia, Yan Wang, Pınar Duygulu, Hongnian Yu, Zhikang Li, Arif Reza Anwary, Hamid Bouchachia, Zheng Ge, M. G. K. Jones and Michael Vassallo. Their work appears in journals such as Pattern Analysis and Applications, Artificial Intelligence in Medicine, Electronics, Engineering Applications of Artificial Intelligence and Sensors.
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.