Deniz Alış

824 citations
70 papers · 507 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (15 papers)MRI in cancer diagnosis (10 papers)Prostate Cancer Diagnosis and Treatment (10 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsAnnals of the Rheumatic Diseases

In The Last Decade

Deniz Alış

62 papers receiving 498 citations

Peers

Deniz Alış
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 235
  • Surgery 143
  • Pulmonary and Respiratory Medicine 85
  • Biomedical Engineering 78
  • Orthopedics and Sports Medicine 61
Replace Arunnit Boonrod with:
Arunnit Boonrod Thailand
Yongheng Luo China
Sarah C. Foreman United States
Hwiyoung Kim South Korea
Xiangchuang Kong China
Jiliang Ren China
C Martinenghi Italy
Mengchen Yin China
Deniz Alış relative to Arunnit Boonrod Thailand Arunnit Boonrod's profile →
Citations per field
00.5×
Arunnit Boonrod · 1×
Citations per year

Countries citing papers authored by Deniz Alış

Since Specialization
Citations

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

Fields of papers citing papers by Deniz Alış

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deniz Alış

This figure shows the co-authorship network connecting the top 25 collaborators of Deniz Alış. A scholar is included among the top collaborators of Deniz Alış 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 Deniz Alış. Deniz Alış 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 7
3 29
4 5
5 11
6 3
7 1
8 5
9 10
10 16
11 2
12 7
13 14
14 1
15 26
16 8
17 4
18 0
19 20
20 1

About Deniz Alış

Deniz Alış is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 70 papers that have together received 507 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (10 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (235 citations) and Orthopedics and Sports Medicine (61 citations). Deniz Alış has collaborated with scholars based in Türkiye, United States and Spain. Frequent co-authors include Cesur Samancı, Ercan Karaarslan, Osman Kızılkılıç, Sedat Giray Kandemirli, Fethi Emre Ustabaşıoğlu, İlkay Öksüz, Civan Işlak, İbrahim Adaletli, Naci Koçer and Düzgün Yıldırım. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the Rheumatic Diseases.

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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