Sevcan Türk

23 total papers · 451 total citations
7 papers, 79 citations indexed

About

Sevcan Türk is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Sevcan Türk has authored 7 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Sevcan Türk's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Sevcan Türk is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Sevcan Türk collaborates with scholars based in United States, Türkiye and India. Sevcan Türk's co-authors include John Kim, Shariq Mohammed, Ashok Srinivasan, Arvind Rao, Michelle Kim, Jayapalli Rajiv Bapuraj, Joonsang Lee, Sandra Camelo‐Piragua, Larry Junck and Nicholas Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

In The Last Decade

Sevcan Türk

5 papers receiving 79 citations

Author Peers

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

Author						Papers	Cites
Sevcan Türk	54	32	17	15	14	7	79
P. M. West	6 0.1×	33 1.0×		9 0.6×	4 0.3×	7	90
Cheryl Fischer	31 0.6×	40 1.3×		15 1.0×		10	112
Annamária Cseh	28 0.5×	12 0.4×		12 0.8×		6	91
Gordana Sunaric Mégevand	118 2.2×	4 0.1×		58 3.9×	6 0.4×	8	223
Jeffrey Chambers	22 0.4×	21 0.7×		10 0.7×		6	61
Zwenneke Flach	37 0.7×	35 1.1×			9 0.6×	6	85
W. P. Mason	8 0.1×	27 0.8×		22 1.5×		8	73
Joshua Sticka	26 0.5×	11 0.3×		2 0.1×	5 0.4×	8	257
Silvia Pignatto	179 3.3×	9 0.3×		9 0.6×	4 0.3×	14	223
Nita Patel	21 0.4×	10 0.3×		5 0.3×		9	221

Countries citing papers authored by Sevcan Türk

Since Specialization

Citations

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

Fields of papers citing papers by Sevcan Türk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sevcan Türk

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