Fatih Gurcan

Orcid: 0000-0001-9915-6686

According to our database1, Fatih Gurcan authored at least 12 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Student engagement research trends of past 10 years: A machine learning-based analysis of 42,000 research articles.
Educ. Inf. Technol., November, 2023

Research trends on distance learning: a text mining-based literature review from 2008 to 2018.
Interact. Learn. Environ., February, 2023

Identification of mobile development issues using semantic topic modeling of Stack Overflow posts.
PeerJ Comput. Sci., 2023

What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities.
PeerJ Comput. Sci., 2023

2022
Covid-19 and E-Learning: An Exploratory Analysis of Research Topics and Interests in E-Learning During the Pandemic.
IEEE Access, 2022

Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling.
IEEE Access, 2022

Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years.
IEEE Access, 2022

Exploratory Analysis of Topic Interests and Their Evolution in Bioinformatics Research Using Semantic Text Mining and Probabilistic Topic Modeling.
IEEE Access, 2022

2021
Mapping Human-Computer Interaction Research Themes and Trends from Its Existence to Today: A Topic Modeling-Based Review of past 60 Years.
Int. J. Hum. Comput. Interact., 2021

2019
Big Data Software Engineering: Analysis of Knowledge Domains and Skill Sets Using LDA-Based Topic Modeling.
IEEE Access, 2019

2017
Yeni nesil yazılım geliştirme eğilimlerine yönelik uzman bilgi ve becerilerinin olasılıksal konu modelleme yordamıyla belirlenmesi (Determination of expertise knowledge and skills related to new generation software development trends using probabilistic topic modeling process)
PhD thesis, 2017

2015
A Hybrid Movie Recommender Using Dynamic Fuzzy Clustering.
Proceedings of the Information Sciences and Systems 2015, 2015


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