Emre Başeski

623 total citations
30 papers, 392 citations indexed

About

Emre Başeski is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Emre Başeski has authored 30 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Emre Başeski's work include Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (9 papers) and Robot Manipulation and Learning (6 papers). Emre Başeski is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (9 papers) and Robot Manipulation and Learning (6 papers). Emre Başeski collaborates with scholars based in Denmark, Türkiye and United Kingdom. Emre Başeski's co-authors include Norbert Krüger, Nicolas Pugeault, Mila Popović, Ali Özgün Ok, Dirk Kraft, Danica Kragić, Leon Bodenhagen, Justus Piater, Sinan Kalkan and Florentin Wörgötter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Emre Başeski

29 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emre Başeski Denmark 10 189 185 112 85 64 30 392
Niklas Bergström Japan 10 174 0.9× 129 0.7× 94 0.8× 35 0.4× 50 0.8× 26 318
Florentin Wörgötter Germany 7 160 0.8× 183 1.0× 76 0.7× 102 1.2× 65 1.0× 18 357
Dov Katz United States 7 173 0.9× 220 1.2× 97 0.9× 68 0.8× 78 1.2× 10 329
Yen-Chen Lin United States 6 441 2.3× 101 0.5× 143 1.3× 44 0.5× 38 0.6× 9 557
Oliver Birbach Germany 9 122 0.6× 142 0.8× 88 0.8× 25 0.3× 90 1.4× 14 257
Ching L. Teo United States 9 407 2.2× 156 0.8× 59 0.5× 183 2.2× 29 0.5× 14 528
Yuzhe Qin United States 10 147 0.8× 252 1.4× 47 0.4× 82 1.0× 109 1.7× 21 390
Leonid Keselman United States 3 292 1.5× 92 0.5× 97 0.9× 25 0.3× 30 0.5× 5 388
Christophe Sabourin France 9 104 0.6× 76 0.4× 21 0.2× 71 0.8× 99 1.5× 36 301
Douglas Morrison Australia 4 129 0.7× 266 1.4× 78 0.7× 85 1.0× 153 2.4× 5 396

Countries citing papers authored by Emre Başeski

Since Specialization
Citations

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

Fields of papers citing papers by Emre Başeski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Başeski

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Başeski. A scholar is included among the top collaborators of Emre Başeski 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 Emre Başeski. Emre Başeski 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.
Başeski, Emre. (2020). Heliport Detection Using Artificial Neural Networks. Photogrammetric Engineering & Remote Sensing. 86(9). 541–546. 1 indexed citations
2.
Başeski, Emre, et al.. (2020). HVLSeg: An Ensemble Model for Instance Segmentation on Satellite Images. 1–4. 3 indexed citations
3.
Başeski, Emre. (2019). A New Remote Sensing Dataset for Heliport Detection. 419–422. 1 indexed citations
4.
Ok, Ali Özgün, Asli Ozdarici-Ok, & Emre Başeski. (2018). Accuracy Assessment of Pleiades-1 Stereo/Tri-stereo Digital Surface Models: A Case-Study for Citrus Trees. Journal of the Indian Society of Remote Sensing. 46(8). 1203–1212. 3 indexed citations
5.
Başeski, Emre. (2018). Heliport detection in high-resolution optical remote sensing images. abs 1710 3959. 1–5. 2 indexed citations
6.
Başeski, Emre, et al.. (2017). Point based motion detection on UAV cameras. 3. 1–4.
7.
Başeski, Emre, et al.. (2014). Semi-automatic road detection in high-resolution satellite images. 1. 1869–1872. 2 indexed citations
8.
Zerman, Emin, et al.. (2014). Circular target detection algorithm on satellite images based on radial transformation. 15. 1790–1793. 3 indexed citations
9.
Başeski, Emre & Çağlar Şenaras. (2013). Cloud detection in high-resolution satellite images. 4. 1–4. 2 indexed citations
10.
Krüger, Norbert, Nicolas Pugeault, Emre Başeski, et al.. (2010). Early Cognitive Vision as a Frontend for Cognitive Systems. University of Southern Denmark Research Portal (University of Southern Denmark). 6 indexed citations
11.
Başeski, Emre, Nicolas Pugeault, Sinan Kalkan, et al.. (2010). Using multi-modal 3D contours and their relations for vision and robotics. Journal of Visual Communication and Image Representation. 21(8). 850–864. 10 indexed citations
12.
Başeski, Emre, et al.. (2009). Bayesian Reasoning Using 3D Relations for Lane Marker Detection. University of Southern Denmark Research Portal (University of Southern Denmark). 127–134. 2 indexed citations
13.
Başeski, Emre, Dirk Kraft, & Norbert Krüger. (2009). A HIERARCHICAL 3D CIRCLE DETECTION ALGORITHM APPLIED IN A GRASPING SCENARIO. 496–502. 3 indexed citations
14.
Başeski, Emre, Leon Bodenhagen, Nicolas Pugeault, et al.. (2009). Using 3D contours and their relations for cognitive vision and robotics. University of Southern Denmark Research Portal (University of Southern Denmark). 30. 409–414. 1 indexed citations
15.
Detry, Renaud, Emre Başeski, Mila Popović, et al.. (2009). Learning object-specific grasp affordance densities. University of Southern Denmark Research Portal (University of Southern Denmark). 1–7. 48 indexed citations
16.
Bodenhagen, Leon, Dirk Kraft, Mila Popović, et al.. (2009). Learning to grasp unknown objects based on 3D edge information. 1. 421–428. 14 indexed citations
17.
Başeski, Emre, Aykut Erdem, & Sibel Tarı. (2008). Dissimilarity between two skeletal trees in a context. Pattern Recognition. 42(3). 370–385. 25 indexed citations
18.
Kraft, Dirk, Emre Başeski, Mila Popović, et al.. (2008). Exploration and Planning in a Three-Level Cognitive Architecture. University of Southern Denmark Research Portal (University of Southern Denmark). 17 indexed citations
19.
Pugeault, Nicolas, Sinan Kalkan, Emre Başeski, Florentin Wörgötter, & Norbert Krüger. (2008). Reconstruction uncertainty and 3D relations. University of Southern Denmark Research Portal (University of Southern Denmark). 5 indexed citations
20.
Pugeault, Nicolas, Emre Başeski, Dirk Kraft, Florentin Wörgötter, & Norbert Krüger. (2007). Extraction of Multi–modal Object Representations in a Robot Vision System. 126–135. 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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