Maryam Ramezani

Sharif University of Technology

H-index: 5

Asia-Iran

About Maryam Ramezani

Maryam Ramezani, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Sharif University of Technology, specializes in the field of Social networks, Machine Learning, Computational Social Science, Complex Networks, Graph Mining.

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

FNR: a similarity and transformer-based approach to detect multi-modal fake news in social media

DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property

Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization

Maryam Ramezani Information

University	Sharif University of Technology
Position	PhD Candidate
Citations(all)	71
Citations(since 2020)	60
Cited By	32
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	3
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Sharif University of Technology
Google Scholar	View Google Scholar Profile

Maryam Ramezani Skills & Research Interests

Social networks

Machine Learning

Computational Social Science

Complex Networks

Graph Mining

Maryam Ramezani

Sharif University of Technology

About Maryam Ramezani

Maryam Ramezani Information

Maryam Ramezani Skills & Research Interests

Top articles of Maryam Ramezani

FNR: a similarity and transformer-based approach to detect multi-modal fake news in social media

Maryam Ramezani

DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property

Maryam Ramezani

Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization

Maryam Ramezani

Co-Authors

Hamid R. Rabiee

Ali Khodadadi

Soroush Omranpour