Fatih Gürcan

1.1k total citations · 1 hit paper
39 papers, 632 citations indexed

About

Fatih Gürcan is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Fatih Gürcan has authored 39 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in Fatih Gürcan's work include Big Data and Business Intelligence (8 papers), Online Learning and Analytics (6 papers) and Software Engineering Research (6 papers). Fatih Gürcan is often cited by papers focused on Big Data and Business Intelligence (8 papers), Online Learning and Analytics (6 papers) and Software Engineering Research (6 papers). Fatih Gürcan collaborates with scholars based in Türkiye, Norway and Bangladesh. Fatih Gürcan's co-authors include Nergiz Ercil Çağıltay, Gonca Gökçe Menekşe Dalveren, Kürşat Çağıltay, Ahmet Soylu, Özcan Özyurt, Mohammad Derawi, Cemal Köse, Görkem Güngör, Emine Canyılmaz and Adnan Yöney and has published in prestigious journals such as IEEE Access, Sustainability and Cancers.

In The Last Decade

Fatih Gürcan

36 papers receiving 609 citations

Hit Papers

align trajectories

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.

Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models

2025 17 citations Fatih Gürcan, Ahmet Soylu et al. Cancers profile →

Peers

Fatih Gürcan

MIS

CSA

EDUCA

Harjanto Prabowo Indonesia

Jorge Calmón de Almeida Biolchini Brazil

Rose Alinda Alias Malaysia

Igor Hawryszkiewycz Australia

Milena Ilić Serbia

Paula Gomes Mian Brazil

Andrea Vázquez‐Ingelmo Spain

Eric Ras Germany

Rozilawati Razali Malaysia

Daniel Siahaan Indonesia

Harjanto Prabowo Indonesia

Fatih Gürcan

273 ×1.5

135 ×0.8

145 ×1.5

MIS

107 ×1.3

CSA

96 ×1.6

EDUCA

Citations per year, relative to Fatih Gürcan Fatih Gürcan (= 1×) peers Harjanto Prabowo

Countries citing papers authored by Fatih Gürcan

Since Specialization

Citations

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

Fields of papers citing papers by Fatih Gürcan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatih Gürcan

This figure shows the co-authorship network connecting the top 25 collaborators of Fatih Gürcan. A scholar is included among the top collaborators of Fatih Gürcan 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 Fatih Gürcan. Fatih Gürcan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gürcan, Fatih, et al.. (2025). Towards a Sustainable Workforce in Big Data Analytics: Skill Requirements Analysis from Online Job Postings Using Neural Topic Modeling. Sustainability. 17(20). 9293–9293.

Gürcan, Fatih, et al.. (2025). Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models. Cancers. 17(1). 121–121. 17 indexed citations breakdown →

Gürcan, Fatih, et al.. (2025). LLM-Based Generative AI in Medicine: Analysis of Current Research Trends With BERTopic. IEEE Access. 13. 157026–157043. 2 indexed citations

Gürcan, Fatih. (2025). Enhancing breast cancer prediction through stacking ensemble and deep learning integration. PeerJ Computer Science. 11. e2461–e2461. 5 indexed citations

Gürcan, Fatih, et al.. (2025). Climate Change and Non-Communicable Diseases: A Bibliometric, Content, and Topic Modeling Analysis. Sustainability. 17(6). 2394–2394. 1 indexed citations

Gürcan, Fatih & Ahmet Soylu. (2024). Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis. Cancers. 16(19). 3417–3417. 15 indexed citations

Gürcan, Fatih. (2024). Forecasting CO₂ emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models. PeerJ Computer Science. 10. e2234–e2234. 10 indexed citations

Gürcan, Fatih & Ahmet Soylu. (2024). Synthetic Boosted Resampling Using Deep Generative Adversarial Networks: A Novel Approach to Improve Cancer Prediction from Imbalanced Datasets. Cancers. 16(23). 4046–4046. 5 indexed citations

Gürcan, Fatih, et al.. (2023). Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning. Sustainability. 15(9). 7496–7496. 23 indexed citations

10.

Gürcan, Fatih. (2023). What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities. PeerJ Computer Science. 9. e1361–e1361. 14 indexed citations

11.

Gürcan, Fatih, Ahmet Ayaz, Gonca Gökçe Menekşe Dalveren, & Mohammad Derawi. (2023). Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning. Sustainability. 15(13). 9854–9854. 10 indexed citations

12.

Gürcan, Fatih. (2023). Identification of mobile development issues using semantic topic modeling of Stack Overflow posts. PeerJ Computer Science. 9. e1658–e1658. 4 indexed citations

13.

Gürcan, Fatih, Gonca Gökçe Menekşe Dalveren, Nergiz Ercil Çağıltay, Dumitru Roman, & Ahmet Soylu. (2022). Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years. IEEE Access. 10. 106093–106109. 18 indexed citations

14.

Gürcan, Fatih & Özcan Özyurt. (2021). Stackoverflow gönderilerinde tartışılan trend konuların kelime frekans analizi ile belirlenmesi. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi.

15.

Canyılmaz, Emine, et al.. (2020). <p>Comparison of Radiation-Induced Secondary Malignancy Risk Between Sequential and Simultaneous Integrated Boost for the Treatment of Nasopharyngeal Carcinoma: Intensity-Modulated Radiotherapy versus Volumetric-Modulated Arc Therapy</p>. Cancer Management and Research. Volume 12. 2513–2521. 4 indexed citations

16.

Gürcan, Fatih & Özcan Özyurt. (2020). E-Öğrenme Araştırmalarındaki Temel Eğilimler ve Bilgi Alanları: 2008-2018 Yılları Arasında Yayımlanan Makalelerle Konu Modelleme Analizi. Journal of Computer and Education Research. 8(16). 738–756. 8 indexed citations

17.

Gürcan, Fatih. (2019). Extraction of core competencies for Big Data: implications for Competency-Based Engineering Education. International journal of engineering education. 35(4). 1110–1115. 24 indexed citations

18.

Gürcan, Fatih, et al.. (2019). Mapping the Research Landscape of Deep Learning from 2001 to 2019. 1–5.

19.

Gürcan, Fatih & Cemal Köse. (2017). Analysis of software engineering industry needs and trends: implications for education. International journal of engineering education. 33(4). 1361–1368. 24 indexed citations

20.

Yılmaz, Ercüment, et al.. (2010). Temel Bilgi Teknolojileri. 3 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.

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