Damla Arifoğlu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Biomedical Engineering
- Psychiatry and Mental health
- Co-authors
- Abdelhamid BouchachiaYan WangPınar DuyguluZhikang LiHongnian YuM. G. K. JonesMichael VassalloArif Reza Anwary
- Topics
- Context-Aware Activity Recognition Systems (6 papers)Dementia and Cognitive Impairment Research (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- SensorsEngineering Applications of Artificial IntelligenceArtificial Intelligence in Medicine
- 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
- Artificial Intelligence 124
- Computer Networks and Communications 57
- Biomedical Engineering 47
- Psychiatry and Mental health 36
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-authorship network of co-authors of Damla Arifoğlu
This figure shows the co-authorship network connecting the top 25 collaborators of Damla Arifoğlu. A scholar is included among the top collaborators of Damla Arifoğlu 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 Damla Arifoğlu. Damla Arifoğlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 86 | |
| 7 | 10 | |
| 8 | 120 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | Osmanlica belgelerde kelime erişimi | 1 |
| 12 | 2 |
About Damla Arifoğlu
Damla Arifoğlu is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health and Artificial Intelligence, 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) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Transportation (26 citations) and Artificial Intelligence (124 citations). Damla Arifoğlu has collaborated with scholars based in United Kingdom, Türkiye and China. Frequent co-authors include Abdelhamid Bouchachia, Yan Wang, Pınar Duygulu, Zhikang Li, Hongnian Yu, M. G. K. Jones, Michael Vassallo, Arif Reza Anwary, Hamid Bouchachia and Zheng Ge. Their work appears in journals such as Sensors, Engineering Applications of Artificial Intelligence and Artificial Intelligence in Medicine.
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.