Hüseyin Tek

36 total papers · 1.7k total citations
23 papers, 754 citations indexed

About

Hüseyin Tek is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hüseyin Tek has authored 23 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hüseyin Tek's work include Medical Image Segmentation Techniques (15 papers), Image Retrieval and Classification Techniques (6 papers) and Digital Image Processing Techniques (3 papers). Hüseyin Tek is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Image Retrieval and Classification Techniques (6 papers) and Digital Image Processing Techniques (3 papers). Hüseyin Tek collaborates with scholars based in United States and Germany. Hüseyin Tek's co-authors include Benjamin B. Kimia, Mehmet Gulsun, Jacky C. P. Chan, Thomas Sebastian, Joseph J. Crisco, Gareth Funka-Lea, Yefeng Zheng, Dorin Comaniciu, Jackie Chan and Til Aach and has published in prestigious journals such as International Journal of Computer Vision, Medical Image Analysis and Computer Vision and Image Understanding.

In The Last Decade

Hüseyin Tek

23 papers receiving 711 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hüseyin Tek	570	189	142	92	86	23	754
S. Lobregt	415 0.7×	236 1.2×	174 1.2×	78 0.8×	83 1.0×	14	685
Felix Ritter	318 0.6×	129 0.7×	122 0.9×	67 0.7×	40 0.5×	30	623
Kevin Novins	561 1.0×	142 0.8×	70 0.5×	97 1.1×	61 0.7×	35	851
Ingmar Bitter	478 0.8×	142 0.8×	102 0.7×	151 1.6×	62 0.7×	29	771
George J. Grevera	448 0.8×	164 0.9×	87 0.6×	77 0.8×	52 0.6×	39	655
M. Sabry Hassouna	320 0.6×	133 0.7×	86 0.6×	97 1.1×	64 0.7×	23	648
Julien Jomier	258 0.5×	307 1.6×	175 1.2×	39 0.4×	104 1.2×	32	743
Dirk Selle	291 0.5×	131 0.7×	140 1.0×	87 0.9×	80 0.9×	11	623
John A. Little	383 0.7×	309 1.6×	262 1.8×	53 0.6×	46 0.5×	17	825
Hervé Lombaert	429 0.8×	346 1.8×	128 0.9×	52 0.6×	24 0.3×	41	834

Countries citing papers authored by Hüseyin Tek

Since Specialization

Citations

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

Fields of papers citing papers by Hüseyin Tek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hüseyin Tek

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

All Works

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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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