Devrim Ünay

2.2k citations
91 papers · 1.0k · h-index 17

Impact in

Papers in

Devrim Ünay

86 papers receiving 941 citations

Peers

Devrim Ünay
Comparison fields: 5 of 115
  • Analytical Chemistry 302
  • Biophysics 100
  • Computer Vision and Pattern Recognition 348
  • Media Technology 91
  • Industrial and Manufacturing Engineering 94
Replace Son Vu Truong Dao with:
Son Vu Truong Dao Vietnam
Mostafa Mehdipour Ghazi Denmark
Miao Li China
J. Satheesh Kumar India
Enrique Fernández-Blanco Spain
Jagadeesh Pujari India
Tommy Löfstedt Sweden
I. Álvarez Spain
Md Jahid Hasan Bangladesh
Baohua Wu China
Devrim Ünay relative to Son Vu Truong Dao Vietnam Son Vu Truong Dao's profile →
Citations per field
00.5×4.3×
Son Vu Truong Dao · 1×
Citations per year

Countries citing papers authored by Devrim Ünay

Since Specialization
Citations

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

Fields of papers citing papers by Devrim Ünay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devrim Ünay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devrim Ünay Line = papers co-authored together Devrim Ünay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010138
2 201080
3 200673
4 200668
5 201760
6 200556
7 200748
8 201632
9 201829
10 200825
11 202024
12 202224
13 200522
14 200920
15 200819
16 202018
17 201117
18 200915
19 201715
20 202213

About Devrim Ünay

Devrim Ünay is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Media Technology, having authored 91 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (19 papers), Medical Image Segmentation Techniques (17 papers), Advanced Image and Video Retrieval Techniques (15 papers), Cell Image Analysis Techniques (15 papers), Image Processing Techniques and Applications (10 papers), Spectroscopy and Chemometric Analyses (9 papers), AI in cancer detection (9 papers) and Smart Agriculture and AI (8 papers). The work is most often cited by research in Analytical Chemistry (302 citations), Biophysics (100 citations), Computer Vision and Pattern Recognition (348 citations), Media Technology (91 citations) and Industrial and Manufacturing Engineering (94 citations). Devrim Ünay has collaborated with scholars based in Türkiye, Netherlands and United States. Frequent co-authors include Bernard Gosselin, Ahmet Ekin, Radu Jasinschi, Henning Müller, Müjdat Çetin, Olivier Debeir, Olivier Kleynen, Marie-France Destain, Vincent Leemans and Aytül Erçi̇l. Their work appears in journals such as Journal of Food Engineering, Materials Horizons, GigaScience, Computer Methods in Biomechanics & Biomedical Engineering and Computers and Electronics in Agriculture.

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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