Hüseyin Gürüler
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology top 10%
- Computer Science Applications top 5%
- Signal Processing top 10%
- Co-authors
- Faheem KhanOsman ÖzkaracaJawad KhanJamil HussainUmme LailaTaeg Keun WhangboYoungmoon LeeNaveed Ahmed
- Topics
- EEG and Brain-Computer Interfaces (3 papers)Online Learning and Analytics (2 papers)Obstructive Sleep Apnea Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers & EducationSensors
- Partner nations
- TürkiyeSouth KoreaUnited States
In The Last Decade
Hüseyin Gürüler
21 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 157
- Computer Vision and Pattern Recognition 122
- Neurology 103
- Computer Science Applications 93
- Signal Processing 63
Countries citing papers authored by Hüseyin Gürüler
This map shows the geographic impact of Hüseyin Gürüler'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 Hüseyin Gürüler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hüseyin Gürüler more than expected).
Fields of papers citing papers by Hüseyin Gürüler
This network shows the impact of papers produced by Hüseyin Gürüler. 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 Hüseyin Gürüler. The network helps show where Hüseyin Gürüler may publish in the future.
Co-authorship network of co-authors of Hüseyin Gürüler
This figure shows the co-authorship network connecting the top 25 collaborators of Hüseyin Gürüler. A scholar is included among the top collaborators of Hüseyin Gürüler 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 Hüseyin Gürüler. Hüseyin Gürüler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Imagesbreakdown → | 109 |
| 3 | 68 | |
| 4 | 40 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 33 | |
| 10 | 1 | |
| 11 | 89 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 6 |
About Hüseyin Gürüler
Hüseyin Gürüler is a scholar working on Computer Science Applications, Human-Computer Interaction and Virology, having authored 23 papers that have together received 563 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Online Learning and Analytics (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Computer Science Applications (93 citations), Virology (60 citations) and Neurology (103 citations). Hüseyin Gürüler has collaborated with scholars based in Türkiye, South Korea and United States. Frequent co-authors include Faheem Khan, Osman Özkaraca, Jawad Khan, Jamil Hussain, Umme Laila, Taeg Keun Whangbo, Youngmoon Lee, Naveed Ahmed, Baha Şen and Shabir Ahmad. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education 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.