Onur C. Hamsici

471 total citations
13 papers, 334 citations indexed

About

Onur C. Hamsici is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Molecular Biology. According to data from OpenAlex, Onur C. Hamsici has authored 13 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Geometry and Topology and 2 papers in Molecular Biology. Recurrent topics in Onur C. Hamsici's work include Face and Expression Recognition (5 papers), Image Retrieval and Classification Techniques (4 papers) and Morphological variations and asymmetry (3 papers). Onur C. Hamsici is often cited by papers focused on Face and Expression Recognition (5 papers), Image Retrieval and Classification Techniques (4 papers) and Morphological variations and asymmetry (3 papers). Onur C. Hamsici collaborates with scholars based in United States. Onur C. Hamsici's co-authors include Aleix M. Martı́nez, Di You, Paulo Gotardo, Yi‐Hsuan Tsai, Ming–Hsuan Yang, Yuriy A. Reznik, Chong Lee and John Hong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Onur C. Hamsici

13 papers receiving 325 citations

Peers

Onur C. Hamsici
Boyán Bonev Spain
Giorgos Sfikas Greece
Zilan Hu China
Claudio Cifarelli Italy
H. Rom United States
Lawrence Cayton United States
Josh Wills United States
Cheng-en Guo United States
P.S. Penev United States
Jörg Brüske Germany
Boyán Bonev Spain
Onur C. Hamsici
Citations per year, relative to Onur C. Hamsici Onur C. Hamsici (= 1×) peers Boyán Bonev

Countries citing papers authored by Onur C. Hamsici

Since Specialization
Citations

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

Fields of papers citing papers by Onur C. Hamsici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur C. Hamsici. 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 Onur C. Hamsici. The network helps show where Onur C. Hamsici may publish in the future.

Co-authorship network of co-authors of Onur C. Hamsici

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

All Works

13 of 13 papers shown
1.
Hamsici, Onur C. & Aleix M. Martı́nez. (2015). Multiple Ordinal Regression by Maximizing the Sum of Margins. IEEE Transactions on Neural Networks and Learning Systems. 27(10). 2072–2083. 12 indexed citations
2.
Tsai, Yi‐Hsuan, Onur C. Hamsici, & Ming–Hsuan Yang. (2015). Adaptive region pooling for object detection. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 731–739. 18 indexed citations
3.
Hamsici, Onur C., Paulo Gotardo, & Aleix M. Martı́nez. (2012). Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion. Lecture notes in computer science. 7575. 260–273. 29 indexed citations
4.
You, Di, Onur C. Hamsici, & Aleix M. Martı́nez. (2010). Kernel Optimization in Discriminant Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(3). 631–638. 74 indexed citations
5.
Hamsici, Onur C., et al.. (2010). Keypoint clustering for robust image matching. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7798. 77980K–77980K. 1 indexed citations
6.
Hamsici, Onur C. & Aleix M. Martı́nez. (2009). Active Appearance Models with Rotation Invariant Kernels. 8. 1003–1009. 14 indexed citations
7.
Hamsici, Onur C. & Aleix M. Martı́nez. (2008). Rotation Invariant Kernels and Their Application to Shape Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 1985–1999. 27 indexed citations
8.
Martı́nez, Aleix M. & Onur C. Hamsici. (2008). Who is LB1? Discriminant analysis for the classification of specimens. Pattern Recognition. 41(11). 3436–3441. 9 indexed citations
9.
Hamsici, Onur C. & Aleix M. Martı́nez. (2008). Bayes Optimality in Linear Discriminant Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(4). 647–657. 108 indexed citations
10.
Martı́nez, Aleix M. & Onur C. Hamsici. (2008). Bayes optimality in classification, feature extraction and shape analysis. 1 indexed citations
11.
Hamsici, Onur C. & Aleix M. Martı́nez. (2007). Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification. Journal of Machine Learning Research. 8(56). 1583–1623. 36 indexed citations
12.
Hamsici, Onur C. & Aleix M. Martı́nez. (2007). Sparse Kernels for Bayes Optimal Discriminant Analysis. 1–7. 3 indexed citations
13.
Hamsici, Onur C. & Aleix M. Martı́nez. (2007). Spherical-Homoscedastic Shapes. 1–7. 2 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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