Semih Ergi̇n

1.2k total citations · 1 hit paper
45 papers, 808 citations indexed

About

Semih Ergi̇n is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Semih Ergi̇n has authored 45 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Semih Ergi̇n's work include Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (8 papers) and Face and Expression Recognition (7 papers). Semih Ergi̇n is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (8 papers) and Face and Expression Recognition (7 papers). Semih Ergi̇n collaborates with scholars based in Türkiye and Czechia. Semih Ergi̇n's co-authors include Serkan Günal, Alper Kürşat Uysal, Efnan Şora Günal, M. Bilginer Gülmezoğlu, Selcan Kaplan Berkaya, Şahin Işık, Kemal Özkan, Ömer Nezih Gerek, Atalay Barkana and Osman Kılıç and has published in prestigious journals such as Expert Systems with Applications, Waste Management and Computers in Biology and Medicine.

In The Last Decade

Semih Ergi̇n

42 papers receiving 768 citations

Hit Papers

A survey on ECG analysis 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on ECG analysis
    2018 397 citations Alper Kürşat Uysal, Efnan Şora Günal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Semih Ergi̇n Türkiye 12 376 245 226 212 106 45 808
Saroj Kumar Pandey India 14 361 1.0× 294 1.2× 136 0.6× 147 0.7× 35 0.3× 73 737
Kandala N. V. P. S. Rajesh India 12 265 0.7× 206 0.8× 118 0.5× 85 0.4× 25 0.2× 26 578
Satria Mandala Indonesia 17 232 0.6× 92 0.4× 84 0.4× 190 0.9× 80 0.8× 95 802
Eduardo Luz Brazil 17 1.0k 2.8× 813 3.3× 426 1.9× 277 1.3× 55 0.5× 44 1.6k
Jinsul Kim South Korea 12 182 0.5× 149 0.6× 90 0.4× 76 0.4× 37 0.3× 101 566
Enrique Muñoz Italy 15 202 0.5× 190 0.8× 147 0.7× 113 0.5× 114 1.1× 42 849
Jinghui Chu China 12 83 0.2× 98 0.4× 116 0.5× 135 0.6× 17 0.2× 27 565
Nitin Kumar Saxena India 17 103 0.3× 64 0.3× 52 0.2× 136 0.6× 35 0.3× 86 830
Jan Žídek Czechia 18 121 0.3× 48 0.2× 113 0.5× 89 0.4× 8 0.1× 44 640
Shuren Zhou China 10 54 0.1× 45 0.2× 77 0.3× 135 0.6× 56 0.5× 34 540

Countries citing papers authored by Semih Ergi̇n

Since Specialization
Citations

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

Fields of papers citing papers by Semih Ergi̇n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Semih Ergi̇n

This figure shows the co-authorship network connecting the top 25 collaborators of Semih Ergi̇n. A scholar is included among the top collaborators of Semih Ergi̇n 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 Semih Ergi̇n. Semih Ergi̇n 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.
Gerek, Ömer Nezih, M. Bilginer Gülmezoğlu, Semih Ergi̇n, et al.. (2024). Are deep learning classification results obtained on CT scans fair and interpretable?. Physical and Engineering Sciences in Medicine. 47(3). 967–979. 1 indexed citations
2.
Ergi̇n, Semih, et al.. (2024). Indifference subspace of deep features for lung nodule classification from CT images. Expert Systems with Applications. 262. 125571–125571. 1 indexed citations
3.
Ergi̇n, Semih, et al.. (2023). High-Dimension EEG Biometric Authentication Leveraging Sub-Band Cube-Code Representation. Traitement du signal. 40(5). 1983–1995.
4.
Edizkan, Rifat, Atalay Barkana, M. Bilginer Gülmezoğlu, et al.. (2023). Neural network representations for the inter- and intra-class common vector classifiers. Digital Signal Processing. 142. 104205–104205. 1 indexed citations
5.
6.
Ergi̇n, Semih, et al.. (2020). CLASSIFICATION OF DYNAMIC EGG WEIGHTS USING FEATURE EXTRACTION METHODS. 21(4). 499–513. 1 indexed citations
7.
Ergi̇n, Semih, et al.. (2020). Use of gradient and normal vectors for face recognition. IET Image Processing. 14(10). 2121–2129. 2 indexed citations
8.
Işık, Şahin, Kemal Özkan, & Semih Ergi̇n. (2019). Biometric person authentication framework using polynomial curve fitting-based ECG feature extraction. DergiPark (Istanbul University). 1 indexed citations
9.
Ergi̇n, Semih, et al.. (2018). THE USAGE OF STATISTICAL FEATURES IN THE APPROXIMATION COMPONENTS OF WAVELET DECOMPOSITION FOR ECG CLASSIFICATION: A CASE STUDY FOR STANDING, WALKING AND SINGLE JUMP CONDITIONS. Kırklareli University Institutional Repository (Kırklareli University). 8(2). 178–182. 1 indexed citations
10.
Ergi̇n, Semih, et al.. (2018). A STATISTICAL FEATURE EXTRACTION IN WAVELET DOMAIN FOR MOVEMENT CLASSIFICATION: A CASE STUDY FOR EYES OPEN, EYES CLOSED, AND OPEN/CLOSED FIST TASKS. DergiPark (Istanbul University). 2 indexed citations
11.
Ergi̇n, Semih, et al.. (2018). A novel multistage system for the detection and removal of pectoral muscles in mammograms. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 26. 35–49. 10 indexed citations
12.
Ergi̇n, Semih, et al.. (2015). A feature selection analysis in breast cancer diagnosis. 1–4. 1 indexed citations
13.
Özkan, Kemal, et al.. (2014). A new classification scheme of plastic wastes based upon recycling labels. Waste Management. 35. 29–35. 66 indexed citations
14.
Ergi̇n, Semih, et al.. (2014). A new feature extraction framework based on wavelets for breast cancer diagnosis. Computers in Biology and Medicine. 51. 171–182. 52 indexed citations
15.
Günal, Serkan, Semih Ergi̇n, Efnan Şora Günal, & Alper Kürşat Uysal. (2013). ECG classification using ensemble of features. Çanakkale Onsekiz Mart University AVESIS. 1–5. 5 indexed citations
16.
Ergi̇n, Semih, et al.. (2012). Detection of Stator, Bearing and Rotor Faults in Induction Motors. Procedia Engineering. 30. 1103–1109. 21 indexed citations
17.
Ergi̇n, Semih, et al.. (2011). DWT-based fault diagnosis in induction motors by using CVA. 3483. 129–132. 5 indexed citations
18.
Gülmezoğlu, M. Bilginer & Semih Ergi̇n. (2007). An approach for bearing fault detection in electrical motors. European Transactions on Electrical Power. 17(6). 628–641. 14 indexed citations
19.
Gülmezoğlu, M. Bilginer, Rifat Edizkan, Semih Ergi̇n, & Atalay Barkana. (2006). Improvements on isolated word recognition using FLDA. 16. 703–706.
20.
Edizkan, Rifat, M. Bilginer Gülmezoğlu, Semih Ergi̇n, & Atalay Barkana. (2005). Improvements on common vector approach for multi class problems. European Signal Processing Conference. 1–4. 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

Breakdown of academic impact, for papers by Saroj Kumar Pandey Breakdown of academic impact, for papers by Kandala N. V. P. S. Rajesh Breakdown of academic impact, for papers by Satria Mandala Breakdown of academic impact, for papers by Eduardo Luz Breakdown of academic impact, for papers by Jinsul Kim Breakdown of academic impact, for papers by Enrique Muñoz Breakdown of academic impact, for papers by Jinghui Chu Breakdown of academic impact, for papers by Nitin Kumar Saxena Breakdown of academic impact, for papers by Jan Žídek Breakdown of academic impact, for papers by Shuren Zhou
Rankless by CCL
2026