Yasemin Yardımcı

1.0k citations
55 papers · 727 indexed · h-index 13
Topics
Image and Signal Denoising Methods (10 papers)Spectroscopy and Chemometric Analyses (10 papers)Advanced Vision and Imaging (10 papers)

In The Last Decade

Yasemin Yardımcı

53 papers receiving 664 citations

Peers

Yasemin Yardımcı
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 288
  • Analytical Chemistry 130
  • Signal Processing 113
  • Artificial Intelligence 113
  • Plant Science 105
Replace Jucheng Yang with:
Jucheng Yang China
Weiqing Min China
Woo Chaw Seng Malaysia
Dalcimar Casanova Brazil
Baozong Yuan China
Surbhi Gupta India
Guan Wang China
Shubham Mahajan India
Yasemin Yardımcı relative to Jucheng Yang China Jucheng Yang's profile →
Citations per field
00.5×1.5×2.1×
Jucheng Yang · 1×
Citations per year

Countries citing papers authored by Yasemin Yardımcı

Since Specialization
Citations

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

Fields of papers citing papers by Yasemin Yardımcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasemin Yardımcı

This figure shows the co-authorship network connecting the top 25 collaborators of Yasemin Yardımcı. A scholar is included among the top collaborators of Yasemin Yardımcı 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 Yasemin Yardımcı. Yasemin Yardımcı 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 12
2
ORGANIZATIONAL ADOPTION OF INFORMATION TECHNOLOGIES: A LITERATURE REVIEW
44
3 53
4 9
5 3
6 12
7
Detection of empty hazelnuts from fully developed nuts by impact acoustics
12
8 1
9
Hiperbolik Aynali Katadioptrik Tümyönlü Kameralar için Parametre Çikarimi Parameter Extraction for Hyperboloidal Catadioptric Omnidirectional Cameras
0
10 1
11 1
12 4
13 33
14 10
15 2
16
Microcalcification segmentation and mammogram image enhancement using nonlinear filtering.
4
17 74
18 2
19 4
20 6

About Yasemin Yardımcı

Yasemin Yardımcı is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry, having authored 55 papers that have together received 727 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (288 citations), Analytical Chemistry (130 citations) and Signal Processing (113 citations). Yasemin Yardımcı has collaborated with scholars based in Türkiye, United States and France. Frequent co-authors include A. Enis Çetin, Alptekin Temizel, Rashid Ansari, Ömer Nezih Gerek, Yalın Baştanlar, Metin N. Gürcan, Habil Kalkan, Tom Pearson, J.A. Cadzow and Ahmet Enis Çetin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026