Hüseyin Özkurt

556 citations
30 papers · 356 indexed · h-index 9
Topics
MRI in cancer diagnosis (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Ophthalmology and Eye Disorders (3 papers)

In The Last Decade

Hüseyin Özkurt

27 papers receiving 342 citations

Peers

Hüseyin Özkurt
Comparison fields: 5 of 53
  • Surgery 154
  • Pulmonary and Respiratory Medicine 90
  • Epidemiology 90
  • Neurology 78
  • Internal Medicine 45
Replace Pushpinder Singh Khera with:
Pushpinder Singh Khera India
Onur Ergün Türkiye
Şenay Demir Türkiye
Halil Dönmez Türkiye
Joseph Junewick United States
Richard J. Scriven United States
Aytaç Gülcü Türkiye
D. Da Ines France
Elizabeth Ling Canada
Stephen Power Ireland
Hüseyin Özkurt relative to Pushpinder Singh Khera India Pushpinder Singh Khera's profile →
Citations per field
00.5×
Pushpinder Singh Khera · 1×
Citations per year

Countries citing papers authored by Hüseyin Özkurt

Since Specialization
Citations

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

Fields of papers citing papers by Hüseyin Özkurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hüseyin Özkurt

This figure shows the co-authorship network connecting the top 25 collaborators of Hüseyin Özkurt. A scholar is included among the top collaborators of Hüseyin Özkurt 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 Özkurt. Hüseyin Özkurt 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
#WorkIndexed citations
1 0
2 0
3 2
4 4
5 8
6 4
7 8
8 3
9 21
10 11
11 5
12 69
13 4
14 4
15 9
16 6
17 90
18 15
19
Huge pancreas helps diagnosis in von Hippel-Lindau disease.
1
20 34

About Hüseyin Özkurt

Hüseyin Özkurt is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Rheumatology, having authored 30 papers that have together received 356 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Ophthalmology and Eye Disorders (3 papers). The work is most often cited by research in Internal Medicine (45 citations), Neurology (78 citations) and Surgery (154 citations). Hüseyin Özkurt has collaborated with scholars based in Türkiye, Antigua and Barbuda and Denmark. Frequent co-authors include Muzaffer Başak, Şükrü Mehmet Ertürk, Dilek Neci̇oğlu Örken, Yelda Özkurt, Gülay Kenangıl, Hulki Forta, Ercan Karaarslan, Dilek Yıldız Sevgi, Canan Alkım and İzzet Rozanes. Their work appears in journals such as American Journal of Ophthalmology, Surgery and Journal of Medical Virology.

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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