Yasin Almalıoğlu

1.3k total citations
15 papers, 743 citations indexed

About

Yasin Almalıoğlu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Gastroenterology. According to data from OpenAlex, Yasin Almalıoğlu has authored 15 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Gastroenterology. Recurrent topics in Yasin Almalıoğlu's work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (5 papers). Yasin Almalıoğlu is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (5 papers). Yasin Almalıoğlu collaborates with scholars based in United Kingdom, Türkiye and United States. Yasin Almalıoğlu's co-authors include Mehmet Turan, Andrew Markham, Niki Trigoni, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Hélder Araújo, Metin Sitti, Pedro Porto Buarque de Gusmão, Ender Konukoğlu and Hunter B. Gilbert and has published in prestigious journals such as Neurocomputing, Neural Networks and Medical Image Analysis.

In The Last Decade

Yasin Almalıoğlu

15 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasin Almalıoğlu United Kingdom 10 362 342 153 121 101 15 743
Daisuke Deguchi Japan 16 272 0.8× 693 2.0× 74 0.5× 133 1.1× 160 1.6× 157 1.1k
Ryusuke Sagawa Japan 18 253 0.7× 821 2.4× 57 0.4× 41 0.3× 153 1.5× 109 1.1k
Christoffer Heckman United States 13 244 0.7× 146 0.4× 82 0.5× 108 0.9× 56 0.6× 42 507
Yong Ding China 17 138 0.4× 429 1.3× 201 1.3× 80 0.7× 62 0.6× 97 891
João P. Barreto Portugal 23 639 1.8× 1.2k 3.6× 85 0.6× 43 0.4× 76 0.8× 70 1.5k
Qi Song China 11 143 0.4× 156 0.5× 58 0.4× 160 1.3× 101 1.0× 35 515
Seung‐Hwan Bae South Korea 10 139 0.4× 647 1.9× 94 0.6× 211 1.7× 44 0.4× 28 788
Marie‐Odile Berger France 18 339 0.9× 694 2.0× 28 0.2× 77 0.6× 146 1.4× 98 1.1k
Jiexin Pu China 13 71 0.2× 387 1.1× 100 0.7× 126 1.0× 35 0.3× 72 672
Shijie Li China 12 183 0.5× 469 1.4× 30 0.2× 185 1.5× 84 0.8× 32 789

Countries citing papers authored by Yasin Almalıoğlu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yasin Almalıoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Yasin Almalıoğlu. A scholar is included among the top collaborators of Yasin Almalıoğlu 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 Yasin Almalıoğlu. Yasin Almalıoğlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Jehanzaib, Muhammad, Yasin Almalıoğlu, Kutsev Bengisu Ozyoruk, et al.. (2024). A robust image segmentation and synthesis pipeline for histopathology. Medical Image Analysis. 99. 103344–103344. 6 indexed citations
2.
Almalıoğlu, Yasin, et al.. (2024). Integrating PET/CT, radiomics and clinical data: An advanced multi-modal approach for lymph node metastasis prediction in prostate cancer. Computers in Biology and Medicine. 184. 109339–109339. 4 indexed citations
3.
Almalıoğlu, Yasin, Mehmet Turan, Muhamad Risqi U. Saputra, et al.. (2022). SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation. Neural Networks. 150. 119–136. 56 indexed citations
4.
Almalıoğlu, Yasin, Mehmet Turan, Niki Trigoni, & Andrew Markham. (2022). Deep learning-based robust positioning for all-weather autonomous driving. Nature Machine Intelligence. 4(9). 749–760. 84 indexed citations
5.
Ozyoruk, Kutsev Bengisu, Taylor L. Bobrow, Yasin Almalıoğlu, et al.. (2021). EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. Medical Image Analysis. 71. 102058–102058. 118 indexed citations
6.
Almalıoğlu, Yasin, Àngel Santamaria‐Navarro, Benjamin Morrell, & Ali‐akbar Agha‐mohammadi. (2021). Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3534–3541. 7 indexed citations
7.
Saputra, Muhamad Risqi U., Pedro Porto Buarque de Gusmão, Chris Xiaoxuan Lu, et al.. (2020). DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. IEEE Robotics and Automation Letters. 5(2). 1672–1679. 50 indexed citations
8.
Lu, Chris Xiaoxuan, Muhamad Risqi U. Saputra, Peijun Zhao, et al.. (2020). milliEgo. Edinburgh Research Explorer (University of Edinburgh). 109–122. 100 indexed citations
9.
Almalıoğlu, Yasin, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, & Andrew Markham. (2020). Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar. IEEE Sensors Journal. 21(3). 3314–3323. 95 indexed citations
10.
Turan, Mehmet, Yasin Almalıoğlu, Hunter B. Gilbert, et al.. (2019). Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics and Automation Letters. 4(3). 3075–3082. 23 indexed citations
11.
Saputra, Muhamad Risqi U., et al.. (2019). Distilling Knowledge From a Deep Pose Regressor Network. 263–272. 76 indexed citations
12.
Turan, Mehmet, et al.. (2018). Endo-VMFuseNet: A Deep Visual-Magnetic Sensor Fusion Approach for Endoscopic Capsule Robots. Civil War Book Review. 5386–5392. 8 indexed citations
13.
Turan, Mehmet, Yasin Almalıoğlu, Hélder Araújo, Ali Taylan Cemgil, & Metin Sitti. (2017). EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots using Recurrent Neural Network Kinematics. 1 indexed citations
14.
Turan, Mehmet, Yasin Almalıoğlu, Hélder Araújo, Ender Konukoğlu, & Metin Sitti. (2017). Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. Neurocomputing. 275. 1861–1870. 86 indexed citations
15.
Turan, Mehmet, Yasin Almalıoğlu, Hélder Araújo, Ender Konukoğlu, & Metin Sitti. (2017). A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots. Repository for Publications and Research Data (ETH Zurich). 29 indexed citations

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.

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