Boran Şekeroğlu
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Online Learning and Analytics
Papers in
-
- Currency Recognition and Detection 5
- Handwritten Text Recognition Techniques 5
-
- AI in cancer detection 6
- Co-authors
- İlker Özşahin (5 shared papers)Kamil Dimililer (11 shared papers)Adnan Khashman (8 shared papers)Rahib H. Abiyev (5 shared papers)Ahmet İlhan (7 shared papers)Mubarak Taiwo Mustapha (1 shared paper)Musa Sani Musa (1 shared paper)Dilber Uzun Ozsahin (1 shared paper)
In The Last Decade
Boran Şekeroğlu
46 papers receiving 866 citations
Peers
Comparison fields: 5 of 134
- Health Informatics 67
- Computer Science Applications 138
- Health Information Management 69
- Radiology, Nuclear Medicine and Imaging 262
- Artificial Intelligence 309
Countries citing papers authored by Boran Şekeroğlu
This map shows the geographic impact of Boran Şekeroğlu'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 Boran Şekeroğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boran Şekeroğlu more than expected).
Fields of papers citing papers by Boran Şekeroğlu
This network shows the impact of papers produced by Boran Şekeroğlu. 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 Boran Şekeroğlu. The network helps show where Boran Şekeroğlu may publish in the future.
Co-authors
The 22 scholars most cited alongside Boran Şekeroğlu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2019 | 113 | |
| 3 | 2020 | 112 | |
| 4 | 2020 | 53 | |
| 5 | 2020 | 38 | |
| 6 | 2022 | 37 | |
| 7 | 2021 | 36 | |
| 8 | 2020 | 35 | |
| 9 | 2021 | 35 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2008 | 27 | |
| 13 | 2016 | 23 | |
| 14 | 2023 | 18 | |
| 15 | 2006 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2006 | 13 | |
| 20 | 2019 | 12 |
About Boran Şekeroğlu
Boran Şekeroğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Orthopedics and Sports Medicine, having authored 51 papers that have together received 923 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers), Currency Recognition and Detection (5 papers), Handwritten Text Recognition Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Vehicle License Plate Recognition (4 papers), Brain Tumor Detection and Classification (4 papers) and Sports Analytics and Performance (3 papers). The work is most often cited by research in Health Informatics (67 citations), Computer Science Applications (138 citations), Health Information Management (69 citations), Radiology, Nuclear Medicine and Imaging (262 citations) and Artificial Intelligence (309 citations). Boran Şekeroğlu has collaborated with scholars based in Cyprus, Türkiye and Macao. Frequent co-authors include İlker Özşahin, Kamil Dimililer, Adnan Khashman, Rahib H. Abiyev, Ahmet İlhan, Mubarak Taiwo Mustapha, Musa Sani Musa, Dilber Uzun Ozsahin, Nadire Çavuş and Murat Arslan. Their work appears in journals such as Applied Sciences, IEEE Access, Scientific Reports, Electronics and Clinical EEG and Neuroscience.
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.