Aytül Erçi̇l

1.8k citations
66 papers · 984 · h-index 17

Impact in

Papers in

Aytül Erçi̇l

63 papers receiving 902 citations

Peers

Aytül Erçi̇l
Comparison fields: 5 of 85
  • Space and Planetary Science 61
  • Industrial and Manufacturing Engineering 410
  • Computer Vision and Pattern Recognition 651
  • Media Technology 225
  • Geology 95
Replace Tomasz Malisiewicz with:
Tomasz Malisiewicz United States
Xiaoyang Mao Japan
Guillaume Lavoué France
Josep R. Casas Spain
Adam Kortylewski United States
Y. Yemez Türkiye
Xin Fan China
Ran Gal Israel
Claudio Cusano Italy
Gary K.L. Tam United Kingdom
Aytül Erçi̇l relative to Tomasz Malisiewicz United States Tomasz Malisiewicz's profile →
Citations per field
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Tomasz Malisiewicz · 1×
Citations per year

Countries citing papers authored by Aytül Erçi̇l

Since Specialization
Citations

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

Fields of papers citing papers by Aytül Erçi̇l

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aytül Erçi̇l, 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 Aytül Erçi̇l Line = papers co-authored together Aytül Erçi̇l links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000178
2 200379
3 200968
4 200658
5 200656
6 200642
7 200042
8 200240
9 200738
10 200636
11
Automated drowsiness detection for improved driving safety
200831
12 200230
13 201030
14 201022
15 200521
16 200218
17
Independent component analysis for texture defect detection
200417
18 201313
19 200612
20 200210

About Aytül Erçi̇l

Aytül Erçi̇l is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology, Computational Mechanics and Signal Processing, having authored 66 papers that have together received 984 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (15 papers), Image Processing Techniques and Applications (13 papers), Image Retrieval and Classification Techniques (9 papers), Medical Image Segmentation Techniques (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Image Processing and 3D Reconstruction (6 papers), Image and Object Detection Techniques (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Space and Planetary Science (61 citations), Industrial and Manufacturing Engineering (410 citations), Computer Vision and Pattern Recognition (651 citations), Media Technology (225 citations) and Geology (95 citations). Aytül Erçi̇l has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include A. Ertüzün, Mahmut Şamil Sağıroğlu, Müjdat Çetin, David Fofi, Mustafa Güler, Gwen Littlewort, Marian Stewart Bartlett, Javier R. Movellan, Esra Vural and Frédéric Truchetet. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Pattern Recognition Letters, Optics Express, Welding Journal and The Visual Computer.

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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