Yasemin Yardımcı

1.0k total citations
55 papers, 727 citations indexed

About

Yasemin Yardımcı is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Yasemin Yardımcı has authored 55 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 10 papers in Media Technology. Recurrent topics in Yasemin Yardımcı's work include Image and Signal Denoising Methods (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Advanced Vision and Imaging (10 papers). Yasemin Yardımcı is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Advanced Vision and Imaging (10 papers). Yasemin Yardımcı collaborates with scholars based in Türkiye, United States and France. Yasemin Yardımcı's 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 İbrahim Arpacı and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Yasemin Yardımcı

53 papers receiving 664 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasemin Yardımcı Türkiye 13 288 130 113 113 105 55 727
Baozong Yuan China 12 866 3.0× 69 0.5× 162 1.4× 237 2.1× 46 0.4× 120 1.2k
Jucheng Yang China 18 408 1.4× 63 0.5× 366 3.2× 180 1.6× 185 1.8× 82 1.1k
Yingke Lei China 11 556 1.9× 51 0.4× 267 2.4× 259 2.3× 51 0.5× 46 922
Carlos López-Molina Spain 18 499 1.7× 48 0.4× 89 0.8× 237 2.1× 92 0.9× 56 1.1k
Surbhi Gupta India 14 293 1.0× 27 0.2× 109 1.0× 135 1.2× 54 0.5× 39 750
Jinrong Cui China 14 511 1.8× 40 0.3× 124 1.1× 244 2.2× 37 0.4× 48 791
D. S. Guru India 23 924 3.2× 157 1.2× 160 1.4× 604 5.3× 238 2.3× 142 1.8k
Dalcimar Casanova Brazil 12 362 1.3× 60 0.5× 41 0.4× 160 1.4× 212 2.0× 51 896
Marco Mora Chile 15 172 0.6× 134 1.0× 71 0.6× 192 1.7× 274 2.6× 64 810
Yuchen Zhao China 15 117 0.4× 54 0.4× 51 0.5× 256 2.3× 20 0.2× 67 741

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
1.
Wilkie, Diana J., et al.. (2019). Pain Detection from Facial Videos Using Two-Stage Deep Learning. OpenMETU (Middle East Technical University). 1–5. 12 indexed citations
2.
Teke, Mustafa & Yasemin Yardımcı. (2015). Classification of crops using multitemporal hyperion images. 140. 282–287. 4 indexed citations
3.
Arpacı, İbrahim, Yasemin Yardımcı, Sevgi Özkan, & Ozgur Turetken. (2012). ORGANIZATIONAL ADOPTION OF INFORMATION TECHNOLOGIES: A LITERATURE REVIEW. SHILAP Revista de lepidopterología. 44 indexed citations
4.
Yardımcı, Yasemin, et al.. (2012). A new approach to automatic road extraction from satellite images using boosted classifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8537. 85370O–85370O. 1 indexed citations
5.
Kalkan, Habil, et al.. (2011). Detection of contaminated hazelnuts and ground red chili pepper flakes by multispectral imaging. Computers and Electronics in Agriculture. 77(1). 28–34. 53 indexed citations
6.
Baştanlar, Yalın, Alptekin Temizel, Yasemin Yardımcı, & Peter Sturm. (2010). Effective Structure-from-Motion for Hybrid Camera Systems. OpenMETU (Middle East Technical University). 1654–1657. 9 indexed citations
7.
Temizel, Alptekin, et al.. (2008). On detection of edges and interest points for omnidirectional images in spherial domain. OpenMETU (Middle East Technical University). 1–4. 3 indexed citations
8.
Baştanlar, Yalın & Yasemin Yardımcı. (2007). Selecting Image Corner Points Using Their Corner Properties. OpenMETU (Middle East Technical University). 1–4.
9.
Onaran, İbrahim, Thomas C. Pearson, Yasemin Yardımcı, & A. Enis Çetin. (2006). Detection of Underdeveloped Hazelnuts from Fully Developed Nuts by Impact Acoustics. Transactions of the ASABE. 49(6). 1971–1976. 12 indexed citations
10.
Onaran, İbrahim, Berkan Dülek, Tom Pearson, Yasemin Yardımcı, & Ahmet Enis Çetin. (2005). Detection of empty hazelnuts from fully developed nuts by impact acoustics. Bilkent University Institutional Repository (Bilkent University). 1–4. 12 indexed citations
11.
Mumcuoglu, E.U., et al.. (2005). Simultaneous Triple-Registration Of Ictal Spect, Interictal Spect And Mr Images For Epilepsy Studies: Method And Validation. European Signal Processing Conference. 1–4. 1 indexed citations
12.
Yardımcı, Yasemin, et al.. (2004). PC-based generation of real-time realistic synthetic scenes for low-altitude flights. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5424. 31–31. 1 indexed citations
13.
Yardımcı, Yasemin, et al.. (2002). <title>Target selection using neural networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4728. 36–47. 1 indexed citations
14.
Bagci, Ahmet, Yasemin Yardımcı, & Ahmet Enis Çetin. (2002). Detection of micro calcification clusters in mammogram images using local maxima and adaptive wavelet transform analysis. IEEE International Conference on Acoustics Speech and Signal Processing. IV–3856. 10 indexed citations
15.
Erzin, Engin, A. Enis Çetin, & Yasemin Yardımcı. (2002). Subband analysis for robust speech recognition in the presence of car noise. Bilkent University Institutional Repository (Bilkent University). 1. 417–420. 33 indexed citations
16.
Çetin, A. Enis, Ahmed H. Tewfik, & Yasemin Yardımcı. (2002). Coding of ECG signals by wavelet transform extrema. 38. 544–547. 4 indexed citations
17.
Gürcan, Metin N., Yasemin Yardımcı, & Ahmet Enis Çetin. (1999). Microcalcification segmentation and mammogram image enhancement using nonlinear filtering.. 588–592. 4 indexed citations
18.
Çetin, A. Enis, Ömer Nezih Gerek, & Yasemin Yardımcı. (1997). Equiripple FIR filter design by the FFT algorithm. IEEE Signal Processing Magazine. 14(2). 60–64. 74 indexed citations
19.
Yardımcı, Yasemin & J.A. Cadzow. (1995). Direction-of-arrival estimation in the presence of sensor model errors. Journal of the Franklin Institute. 332(2). 173–182. 2 indexed citations
20.
Yardımcı, Yasemin & J.A. Cadzow. (1993). Direction-of-arrival estimation under sensor location uncertainty. IEEE International Conference on Acoustics Speech and Signal Processing. 312–315 vol.4. 4 indexed citations

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