Emrah Başaran

875 total citations · 1 hit paper
11 papers, 493 citations indexed

About

Emrah Başaran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Emrah Başaran has authored 11 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Emrah Başaran's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Emrah Başaran is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Emrah Başaran collaborates with scholars based in Türkiye, Qatar and United States. Emrah Başaran's co-authors include Muhittin Gökmen, Mustafa E. Kamaşak, Mubarak Shah, Mahdi M. Kalayeh, Marwa Qaraqe, Yin Yang and Tülay Yıldırım and has published in prestigious journals such as IEEE Access, Applied Sciences and Applied Intelligence.

In The Last Decade

Emrah Başaran

9 papers receiving 483 citations

Hit Papers

Human Semantic Parsing for Person Re-identification 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emrah Başaran Türkiye 5 476 168 43 21 14 11 493
Davide Baltieri Italy 7 431 0.9× 167 1.0× 48 1.1× 13 0.6× 12 0.9× 8 452
Etienne Corvée France 7 460 1.0× 185 1.1× 46 1.1× 17 0.8× 9 0.6× 14 472
Zimo Liu China 5 364 0.8× 159 0.9× 57 1.3× 13 0.6× 22 1.6× 6 397
Mengxi Jia China 6 267 0.6× 133 0.8× 50 1.2× 12 0.6× 7 0.5× 15 310
Xinhua Cheng China 7 280 0.6× 126 0.8× 39 0.9× 12 0.6× 7 0.5× 13 308
Yongxing Dai China 6 297 0.6× 146 0.9× 67 1.6× 7 0.3× 15 1.1× 9 333
Guanshuo Wang China 3 421 0.9× 201 1.2× 67 1.6× 8 0.4× 17 1.2× 5 434
Neng Dong China 6 260 0.5× 78 0.5× 49 1.1× 10 0.5× 9 0.6× 10 316
Igor Kviatkovsky Israel 4 289 0.6× 140 0.8× 33 0.8× 16 0.8× 10 0.7× 7 303

Countries citing papers authored by Emrah Başaran

Since Specialization
Citations

This map shows the geographic impact of Emrah Başaran'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 Emrah Başaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emrah Başaran more than expected).

Fields of papers citing papers by Emrah Başaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emrah Başaran. 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 Emrah Başaran. The network helps show where Emrah Başaran may publish in the future.

Co-authorship network of co-authors of Emrah Başaran

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

All Works

11 of 11 papers shown
1.
Qaraqe, Marwa, et al.. (2024). Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis. Applied Intelligence. 54(21). 10709–10730. 7 indexed citations
2.
Başaran, Emrah, et al.. (2024). A novel multi-scale violence and public gathering dataset for crowd behavior classification. Frontiers in Computer Science. 6.
3.
Qaraqe, Marwa, et al.. (2024). PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition. IEEE Access. 12. 26474–26491. 16 indexed citations
4.
Başaran, Emrah, Muhittin Gökmen, & Mustafa E. Kamaşak. (2020). An efficient framework for visible–infrared cross modality person re-identification. Signal Processing Image Communication. 87. 115933–115933. 33 indexed citations
5.
Başaran, Emrah, et al.. (2019). BMI Prediction From Face Images. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 3 indexed citations
6.
Gökmen, Muhittin, Mahdi M. Kalayeh, Emrah Başaran, Mustafa E. Kamaşak, & Mubarak Shah. (2018). Human Semantic Parsing for Person Re-identification. 418 indexed citations breakdown →
7.
Başaran, Emrah, Muhittin Gökmen, & Mustafa E. Kamaşak. (2018). An Efficient Multiscale Scheme Using Local Zernike Moments for Face Recognition. Applied Sciences. 8(5). 827–827. 11 indexed citations
8.
Başaran, Emrah. (2017). Çokkültürlülük Olgusunun Kanada Örneği Ekseninde İncelenmesi. Opus uluslararası toplum araştırmaları dergisi. 7(12). 237–237. 1 indexed citations
9.
Başaran, Emrah & Muhittin Gökmen. (2016). Face recognition with Local Zernike Moments features around landmarks. MEF University Institutional Repository (MEF University). 2089–2092. 1 indexed citations
10.
Yıldırım, Tülay, et al.. (2013). Neural network based footprint identification without feature extraction. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4.
11.
Başaran, Emrah & Muhittin Gökmen. (2013). Traffic sign classification with Quantized Local Zernike Moments. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 3 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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