Yasin Almalıoğlu
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Sensor-Based Localization 10
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- Advanced Vision and Imaging 6
- Co-authors
- Mehmet Turan (11 shared papers)Niki Trigoni (6 shared papers)Andrew Markham (6 shared papers)Muhamad Risqi U. Saputra (4 shared papers)Chris Xiaoxuan Lu (3 shared papers)Hélder Araújo (5 shared papers)Metin Sitti (5 shared papers)Pedro Porto Buarque de Gusmão (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Medical Image Analysis (2 papers)Computers in Biology and Medicine (1 paper)IEEE Sensors Journal (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United KingdomTürkiyeUnited States
In The Last Decade
Yasin Almalıoğlu
15 papers receiving 723 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 342
- Aerospace Engineering 362
- Geology 66
- Gastroenterology 62
- Instrumentation 28
Countries citing papers authored by Yasin Almalıoğlu
This map shows the geographic impact of Yasin Almalıoğlu'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 Yasin Almalıoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasin Almalıoğlu more than expected).
Fields of papers citing papers by Yasin Almalıoğlu
This network shows the impact of papers produced by Yasin Almalıoğlu. 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 Yasin Almalıoğlu. The network helps show where Yasin Almalıoğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasin Almalıoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2020 | 100 | |
| 3 | 2020 | 95 | |
| 4 | 2017 | 86 | |
| 5 | 2022 | 84 | |
| 6 | 2019 | 76 | |
| 7 | 2022 | 56 | |
| 8 | 2020 | 50 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 4 | |
| 15 | EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots using Recurrent Neural Network Kinematics | 2017 | 1 |
About Yasin Almalıoğlu
Yasin Almalıoğlu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Gastroenterology, Biomedical Engineering and Instrumentation, having authored 15 papers that have together received 743 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers), Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Soft Robotics and Applications (3 papers), Advanced Optical Sensing Technologies (2 papers), 3D Surveying and Cultural Heritage (2 papers), Hand Gesture Recognition Systems (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Aerospace Engineering (362 citations), Geology (66 citations), Gastroenterology (62 citations) and Instrumentation (28 citations). Yasin Almalıoğlu has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Mehmet Turan, Niki Trigoni, Andrew Markham, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Hélder Araújo, Metin Sitti, Pedro Porto Buarque de Gusmão, Ender Konukoğlu and Changhao Chen. Their work appears in journals such as IEEE Robotics and Automation Letters, Medical Image Analysis, Computers in Biology and Medicine, IEEE Sensors Journal and Nature Machine Intelligence.
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.