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Safak Kayikci

Data Science Machine Learning Software Engineering (SE)

About

Safak Kayikci earned a BSc in Computer Engineering from Marmara University, an MSc in Engineering Management from Istanbul Technical University, and a Ph.D. in Informatics from Marmara University. He completed a Postdoctoral appointment at Florida Atlantic University in the College of Engineering & Computer Science. His research interests include Data Science and Machine Learning, as well as Software Engineering.

Research Performance Summary

46
Total Papers
454
Total Citations
11
H-Index
2014-2025
Active Research Span

First Recorded Paper

Web Sayfalarının Yapay Sinir Ağları ile Sınıflandırılması

Year: 2014

Citations: 3

Venue: Marmara Üniversitesi Sosyal ilimler Enstitüsü Gazetecilik Anabilim Dalı

Latest Recorded Paper

Enhancement of single candidate optimizer for weighted feature fusion and dilation-based cascaded RNN in learning-based recommendation system

Year: 2025

Citations: 0

Venue: Knowledge-Based Systems

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
2
2024
4
2023
3
2022
4
2021
12
2020
6
2019
8
2018
4
2016
2
2014
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 15
Journal 17
Book 1

Top Coauthors

Kayikci Ş Kayıkçı Khoshgoftaar

Research Impact by Period

2025-2026

Period Stats
Papers 2
Citations 0
Avg. Citations / Paper 0
H-Index 0

2020-2024

Period Stats
Papers 29
Citations 415
Avg. Citations / Paper 14.3
H-Index 10

2015-2019

Period Stats
Papers 14
Citations 36
Avg. Citations / Paper 2.6
H-Index 4

2010-2014

Period Stats
Papers 1
Citations 3
Avg. Citations / Paper 3
H-Index 1

Contact and Professional Links

Contact Information

skayikci@fau.edu

Detected Research Keywords

Nanofluid Flow Past Mixed Convection Thermally Convection Thermally Radiative Thermally Radiative Flow Radiative Flow Mhd Flow Mhd Williamson Mhd Williamson Nanofluid Williamson Nanofluid Arrhenius Nanofluid Arrhenius Activation Arrhenius Activation Energy