Erhan Gündoğdu

2.6k total citations
23 papers, 424 citations indexed

About

Erhan Gündoğdu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Erhan Gündoğdu has authored 23 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Ocean Engineering. Recurrent topics in Erhan Gündoğdu's work include Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Infrared Target Detection Methodologies (6 papers). Erhan Gündoğdu is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Infrared Target Detection Methodologies (6 papers). Erhan Gündoğdu collaborates with scholars based in Türkiye, United States and Germany. Erhan Gündoğdu's co-authors include A. Aydın Alatan, Aykut Koç, Loris Bazzani, Berkan Solmaz, Michael Donoser, Amaia Salvador, Hüseyin Özkan, Riad Hammoud, S. Kubilay Pakin and Erdem Akagündüz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Erhan Gündoğdu

22 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erhan Gündoğdu Türkiye 10 340 120 56 51 43 23 424
A. Aydın Alatan Türkiye 15 728 2.1× 109 0.9× 10 0.2× 48 0.9× 40 0.9× 71 766
Thomas El-Maraghi Canada 4 638 1.9× 102 0.8× 19 0.3× 21 0.4× 93 2.2× 6 684
Jiaxin Li China 9 158 0.5× 162 1.4× 70 1.3× 25 0.5× 25 0.6× 24 315
Yi Wan China 11 341 1.0× 24 0.2× 24 0.4× 10 0.2× 44 1.0× 88 502
Boris X. Vintimilla Ecuador 12 286 0.8× 96 0.8× 16 0.3× 10 0.2× 44 1.0× 37 467
Hassan Abu Alhaija Germany 5 375 1.1× 82 0.7× 26 0.5× 3 0.1× 87 2.0× 7 445
Ouk Choi South Korea 12 306 0.9× 103 0.9× 74 1.3× 6 0.1× 21 0.5× 38 465
Rui Qian China 6 442 1.3× 187 1.6× 58 1.0× 3 0.1× 54 1.3× 14 561
Han Ma Hong Kong 9 212 0.6× 120 1.0× 44 0.8× 3 0.1× 25 0.6× 25 305

Countries citing papers authored by Erhan Gündoğdu

Since Specialization
Citations

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

Fields of papers citing papers by Erhan Gündoğdu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhan Gündoğdu

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

All Works

20 of 20 papers shown
1.
Gündoğdu, Erhan, et al.. (2024). iEdit: Localised Text-guided Image Editing with Weak Supervision. 7426–7435. 2 indexed citations
2.
Salvador, Amaia, Erhan Gündoğdu, Loris Bazzani, & Michael Donoser. (2021). Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. 15470–15479. 52 indexed citations
3.
Gündoğdu, Erhan, et al.. (2020). GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 181–195. 34 indexed citations
4.
Gündoğdu, Erhan, et al.. (2018). A method for quadruplet sample selection in deep feature learning. OpenMETU (Middle East Technical University). 1–4.
5.
Solmaz, Berkan, et al.. (2018). Fine‐grained recognition of maritime vessels and land vehicles by deep feature embedding. IET Computer Vision. 12(8). 1121–1132. 11 indexed citations
6.
Gündoğdu, Erhan & A. Aydın Alatan. (2018). Good Features to Correlate for Visual Tracking. IEEE Transactions on Image Processing. 27(5). 2526–2540. 104 indexed citations
7.
Koç, Aykut, Erhan Gündoğdu, & A. Aydın Alatan. (2017). Automatic target recognition and detection in infrared imagery under cluttered background. OpenMETU (Middle East Technical University). 11. 19–19. 4 indexed citations
8.
Koç, Aykut, et al.. (2017). Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms. Expert Systems with Applications. 77. 247–255. 21 indexed citations
9.
10.
Koç, Aykut, et al.. (2017). Digital computation of fractional Fourier and linear canonical transforms and sparse image representation. Bilkent University Institutional Repository (Bilkent University). 56. 111–117. 2 indexed citations
11.
Solmaz, Berkan, et al.. (2017). Generic and attribute-specific deep representations for maritime vessels. SHILAP Revista de lepidopterología. 9(1). 9 indexed citations
12.
Gündoğdu, Erhan & A. Aydın Alatan. (2017). Method for learning deep features for correlation based visual tracking. 1–4. 3 indexed citations
13.
Koç, Aykut, et al.. (2017). Deep learning-based fine-grained car make/model classification for visual surveillance. 19–19. 3 indexed citations
14.
Gündoğdu, Erhan, et al.. (2017). Deep distance metric learning for maritime vessel identification. OpenMETU (Middle East Technical University). 1–4. 7 indexed citations
15.
Gündoğdu, Erhan, Aykut Koç, & A. Aydın Alatan. (2016). Infrared object classification using decision tree based deep neural networks. 1913–1916. 2 indexed citations
16.
Gündoğdu, Erhan & A. Aydın Alatan. (2016). Spatial windowing for correlation filter based visual tracking. OpenMETU (Middle East Technical University). 1684–1688. 14 indexed citations
17.
Gündoğdu, Erhan, Hüseyin Özkan, & A. Aydın Alatan. (2016). Ensemble Of adaptive correlation filters for robust visual tracking. OpenMETU (Middle East Technical University). 37. 15–22. 3 indexed citations
18.
Gündoğdu, Erhan, Aykut Koç, Berkan Solmaz, Riad Hammoud, & A. Aydın Alatan. (2016). Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum. OpenMETU (Middle East Technical University). 290–298. 33 indexed citations
19.
Gündoğdu, Erhan, et al.. (2015). Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance. OpenMETU (Middle East Technical University). 1–9. 35 indexed citations
20.
Gündoğdu, Erhan & A. Aydın Alatan. (2012). Feature detection and matching towards augmented reality applications on mobile devices. 1. 1–4. 1 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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