S. Dağtaş

15 total papers · 488 total citations
10 papers, 280 citations indexed

About

S. Dağtaş is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, S. Dağtaş has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in S. Dağtaş's work include Video Analysis and Summarization (6 papers), Multimedia Communication and Technology (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). S. Dağtaş is often cited by papers focused on Video Analysis and Summarization (6 papers), Multimedia Communication and Technology (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). S. Dağtaş collaborates with scholars based in United States, Finland and Canada. S. Dağtaş's co-authors include Arif Ghafoor, Z. Şahinoğlu, Wasfi G. Al-Khatib, R.L. Kashyap, Ashfaq Khokhar, Mohamed Abdel-Mottaleb, Hasan Çam, Hua Wu, Nevenka Dimitrova and S. Krishnamachari and has published in prestigious journals such as IEEE Transactions on Image Processing and International Journal of Telemedicine and Applications.

In The Last Decade

S. Dağtaş

9 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
S. Dağtaş	186	100	70	53	40	10	280
Ozgur Yurur	179 1.0×	118 1.2×	14 0.2×	30 0.6×	50 1.3×	10	286
Vamsidhar Reddy Gaddam	259 1.4×	33 0.3×	111 1.6×	22 0.4×	33 0.8×	17	324
Salim Muhsin Wadi	134 0.7×	91 0.9×	15 0.2×	50 0.9×	78 1.9×	15	277
Xueyi Wang	183 1.0×	45 0.5×	21 0.3×	125 2.4×	59 1.5×	10	295
Colleen M. Swanson	26 0.1×	122 1.2×	49 0.7×	102 1.9×	112 2.8×	8	257
Beddhu Murali	176 0.9×	34 0.3×	24 0.3×	12 0.2×	100 2.5×	9	320
Gal Lavee	210 1.1×	29 0.3×	44 0.6×	37 0.7×	153 3.8×	13	303
Guang-He Lee	86 0.5×	31 0.3×	18 0.3×	99 1.9×	59 1.5×	11	252
Bong-Nam Kang	131 0.7×	97 1.0×	30 0.4×	10 0.2×	30 0.8×	15	208
Zhiyuan Xie	100 0.5×	62 0.6×	15 0.2×	26 0.5×	192 4.8×	8	293

Countries citing papers authored by S. Dağtaş

Since Specialization

Citations

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

Fields of papers citing papers by S. Dağtaş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Dağtaş

This figure shows the co-authorship network connecting the top 25 collaborators of S. Dağtaş. A scholar is included among the top collaborators of S. Dağtaş 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 S. Dağtaş. S. Dağtaş 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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