Günce Keziban Orman

About Günce Keziban Orman

Günce Keziban Orman, With an exceptional h-index of 11 and a recent h-index of 9 (since 2020), a distinguished researcher at Galatasaray Üniversitesi, specializes in the field of Data mining, Complex Network Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact

On the usage of Benford’s Law on coronavirus data statistics

An Empirical Study of Covid-19 Effect on Health Care Workers’ Career Development

A Manhattan distance based hybrid recommendation system

Job Seeker Recommendation for Employers: A Graph-Based Recommendation Approach Using Node Embedding

On the role of user segmentation in recommender systems’ performances

Extracting relations between sectors

Machine Learning-Based Link Prediction for Hotel Network

Günce Keziban Orman Information

University

Position

___

Citations(all)

843

Citations(since 2020)

413

Cited By

607

hIndex(all)

11

hIndex(since 2020)

9

i10Index(all)

12

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Günce Keziban Orman Skills & Research Interests

Data mining

Complex Network Analysis

Top articles of Günce Keziban Orman

A Comprehensive Framework for Measuring the Immediate Impact of TV Advertisements: TV-Impact

Entropy

2024/1/25

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

On the usage of Benford’s Law on coronavirus data statistics

2023/12/15

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

An Empirical Study of Covid-19 Effect on Health Care Workers’ Career Development

2023/12/15

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Sultan Nezihe Turhan
Sultan Nezihe Turhan

H-Index: 3

A Manhattan distance based hybrid recommendation system

International Journal of Applied Mathematics Electronics and Computers

2023/3/31

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Job Seeker Recommendation for Employers: A Graph-Based Recommendation Approach Using Node Embedding

Procedia Computer Science

2023/1/1

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

On the role of user segmentation in recommender systems’ performances

Procedia Computer Science

2023/1/1

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Extracting relations between sectors

2022/12/6

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Sultan Nezihe Turhan
Sultan Nezihe Turhan

H-Index: 3

Machine Learning-Based Link Prediction for Hotel Network

IAENG International Journal of Computer Science

2022/12/1

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Community Detection on Proximity Networks

2022/9/28

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Job Recommendation Based on Extracted Skill Embeddings

2022/9/1

Similarity-Based Résumé Matching via Triplet Loss with BERT Models

2022/9/1

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Salary prediction via sectoral features in Turkey

2022/8/8

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Discovering Link Prediction Methods' Performances by Network Topology Relation

Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi

2022/8/8

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Determining Column Numbers in Résumés with Clustering

2022/6/10

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

A link prediction framework for hotel recommendations

Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering

2022

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Dynamic network modelling with similarity based aggregation algorithm

Computer Science and Information Systems

2022

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering

2021/12/15

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Quantitative and Qualitative Analysis of Overlapping Community Detection Algorithms

IAENG International Journal of Computer Science

2021/12/1

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Aggregating time windows for dynamic network extraction

2021/8/25

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

Similarity based compression ratio for dynamic network modelling

2021/7/6

Günce Keziban Orman
Günce Keziban Orman

H-Index: 9

See List of Professors in Günce Keziban Orman University(Galatasaray Üniversitesi)

Co-Authors

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