Galip Aydın
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Health Informatics top 10%
Papers in
-
- Topic Modeling 9
- Text and Document Classification Technologies 7
- Natural Language Processing Techniques 4
- Sentiment Analysis and Opinion Mining 4
-
- Distributed and Parallel Computing Systems 12
- Co-authors
- Betül Ay (17 shared papers)Muhammed Talo (5 shared papers)Ulaş Baran Baloğlu (3 shared papers)U. Rajendra Acharya (3 shared papers)Özal Yıldırım (3 shared papers)Fatih Ertam (3 shared papers)Subha D. Puthankattil (1 shared paper)Geoffrey Fox (11 shared papers)
- Journals
- Pure and Applied Geophysics (2 papers)Computers in Biology and Medicine (2 papers)Physics of The Earth and Planetary Interiors (1 paper)Applied Sciences (1 paper)Computing and Visualization in Science (1 paper)
- Partner nations
- TürkiyeUnited StatesSingapore
In The Last Decade
Galip Aydın
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Neurology 101
- Health Informatics 16
- Artificial Intelligence 362
- Computer Vision and Pattern Recognition 230
- Cognitive Neuroscience 185
Countries citing papers authored by Galip Aydın
This map shows the geographic impact of Galip Aydın'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 Galip Aydın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galip Aydın more than expected).
Fields of papers citing papers by Galip Aydın
This network shows the impact of papers produced by Galip Aydın. 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 Galip Aydın. The network helps show where Galip Aydın may publish in the future.
Co-authors
The 25 scholars most cited alongside Galip Aydın, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2019 | 199 | |
| 3 | 2017 | 151 | |
| 4 | 2019 | 119 | |
| 5 | 2018 | 50 | |
| 6 | 2021 | 33 | |
| 7 | 2005 | 33 | |
| 8 | 2015 | 31 | |
| 9 | 2006 | 30 | |
| 10 | 2008 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2008 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2008 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2006 | 13 | |
| 20 | 2016 | 13 |
About Galip Aydın
Galip Aydın is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Information Systems and Management, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Topic Modeling (9 papers), Scientific Computing and Data Management (8 papers), Text and Document Classification Technologies (7 papers), Advanced Neural Network Applications (6 papers), Service-Oriented Architecture and Web Services (5 papers), Natural Language Processing Techniques (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Neurology (101 citations), Health Informatics (16 citations), Artificial Intelligence (362 citations), Computer Vision and Pattern Recognition (230 citations) and Cognitive Neuroscience (185 citations). Galip Aydın has collaborated with scholars based in Türkiye, United States and Singapore. Frequent co-authors include Betül Ay, Muhammed Talo, Ulaş Baran Baloğlu, U. Rajendra Acharya, Özal Yıldırım, Fatih Ertam, Subha D. Puthankattil, Geoffrey Fox, Mehmet S. Aktaş and Marlon Pierce. Their work appears in journals such as Pure and Applied Geophysics, Computers in Biology and Medicine, Physics of The Earth and Planetary Interiors, Applied Sciences and Computing and Visualization in Science.
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.