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akaturk Academic measurement

Academician

PERİHAN GÜLŞAH GÜLHAN

ÖĞRETİM GÖREVLİSİ

ANKARA ÜNİVERSİTESİ AKYURT MESLEK YÜKSEKOKULU ELEKTRONİK VE OTOMASYON BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Elektrik-Elektronik ve Haberleşme Mühendisliği

A quick look at recorded outputs — details below.

  • Articles 5
  • Projects 0
  • Books 0
  • Proceedings 4
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 4 Q2 0 Q3 0 Q4 0
WoS (JCR) Q1 0 Q2 4 Q3 0 Q4 2
TR Index 1 articles

Field+year+type normalized OpenAlex percentiles — not Clarivate ESI / SciVal.

Top 1% articles 0
Top 10% articles 0
Avg percentile 83.8%
Top 1% share 0.0%
Top 10% share 0.0%

Articles

Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.

Index filters

5 publications total

Scopus (SJR)
Q1 4 Q2 0 Q3 0 Q4 0
WoS (JCR)
Q1 0 Q2 4 Q3 0 Q4 2
TR Index

Article list

  1. 2025 Enhancing Signal and Network Integrity: Evaluating BCG Artifact Removal Techniques in Simultaneous EEG-fMRI Data Sensors DOI 10.3390/s25227036 YÖKSİS SJR Q1 JCR Q2 OpenAlex 83.3%
  2. 2025 The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach Journal of Imaging Informatics in Medicine DOI 10.1007/s10278-024-01189-5 YÖKSİS SJR Q1 JCR Q2 OpenAlex 84.4%
  3. 2024 CNN Based Determination of Polycystic Ovarian Syndrome using Automatic Follicle Detection Methods Politeknik Dergisi DOI 10.2339/politeknik.1263520 YÖKSİS TR Index JCR Q4 OpenAlex 85.1%
  4. 2020 Follicle Detection for Polycystic Ovary Syndrome by using Image Processing Methods International Journal of Applied Mathematics Electronics and Computers DOI 10.18100/ijamec.803400 YÖKSİS OpenAlex 82.8%
  5. 2025 The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach Journal of Imaging Informatics in Medicine DOI https://link.springer.com/article/10.1007/s10278-024-01189-5 YÖKSİS SJR Q1 JCR Q2
  6. 2025 Enhancing Signal and Network Integrity: Evaluating BCG Artifact Removal Techniques in Simultaneous EEG-fMRI Data SENSORS DOI 10.3390/s25227036 YÖKSİS SJR Q1 JCR Q2 OpenAlex 83.2%
  7. 2023 CNN Based Determination of Polycystic Ovarian Syndrome using Automatic Follicle Detection Methods Journal of Polytechnic DOI 10.2339/politeknik.1263520 YÖKSİS JCR Q4 OpenAlex 85.1%
  8. 2020 Follicle Detection for Polycystic Ovary Syndrome by using Image Processing Methods International Journal of Applied Mathematics Electronics and Computers DOI 10.18100/ijamec.803400 YÖKSİS OpenAlex 82.8%

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