Ali Arı
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
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- Advanced Neural Network Applications 6
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- Machine Learning and ELM 3
- Co-authors
- Davut Hanbay (11 shared papers)Abdulkadir Şengür (5 shared papers)Fatih Demir (1 shared paper)Mohammed Alswaitti (1 shared paper)Kamran Siddique (1 shared paper)Özlem Özcan (3 shared papers)Muammer Türkoğlu (2 shared papers)Filiz Özdemir (2 shared papers)
In The Last Decade
Ali Arı
28 papers receiving 365 citations
Peers
Comparison fields: 5 of 89
- Neurology 176
- Computer Vision and Pattern Recognition 169
- Human-Computer Interaction 20
- Artificial Intelligence 106
- Health Informatics 4
Countries citing papers authored by Ali Arı
This map shows the geographic impact of Ali Arı'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 Ali Arı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Arı more than expected).
Fields of papers citing papers by Ali Arı
This network shows the impact of papers produced by Ali Arı. 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 Ali Arı. The network helps show where Ali Arı may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Arı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 175 | |
| 2 | 2021 | 27 | |
| 3 | 2023 | 20 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2015 | 4 |
About Ali Arı
Ali Arı is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Neurology, having authored 30 papers that have together received 388 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), EEG and Brain-Computer Interfaces (4 papers), Brain Tumor Detection and Classification (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Machine Learning and ELM (3 papers), Hand Gesture Recognition Systems (3 papers), Muscle activation and electromyography studies (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Neurology (176 citations), Computer Vision and Pattern Recognition (169 citations), Human-Computer Interaction (20 citations), Artificial Intelligence (106 citations) and Health Informatics (4 citations). Ali Arı has collaborated with scholars based in Türkiye, Australia and China. Frequent co-authors include Davut Hanbay, Abdulkadir Şengür, Fatih Demir, Mohammed Alswaitti, Kamran Siddique, Özlem Özcan, Muammer Türkoğlu, Filiz Özdemir, Muzaffer Aslan and Burak Mete. Their work appears in journals such as Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, PeerJ Computer Science, IEEE Access, Sensors and Multimedia Tools and Applications.
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.