Ghazal Kalhor

Orcid: 0000-0002-6153-9048

According to our database1, Ghazal Kalhor authored at least 16 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Remembering unequally: global and disciplinary bias in LLM reconstruction of scholarly coauthor lists.
EPJ Data Sci., December, 2026

GhazalBench: Usage-Grounded Evaluation of LLMs on Persian Ghazals.
CoRR, March, 2026

MasalBench: A Benchmark for Contextual and Cross-Cultural Understanding of Persian Proverbs in LLMs.
CoRR, January, 2026

2025
Measuring biases in AI-generated co-authorship networks.
EPJ Data Sci., December, 2025

Remembering Unequally: Global and Disciplinary Bias in LLM-Generated Co-Authorship Networks.
CoRR, November, 2025

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian.
CoRR, September, 2025

2024
Correction to: understanding trends, patterns, and dynamics in global company acquisitions: a network perspective.
EPJ Data Sci., December, 2024

Understanding trends, patterns, and dynamics in global company acquisitions: a network perspective.
EPJ Data Sci., December, 2024

Understanding Trends, Patterns, and Dynamics in Global Acquisitions: A Network Perspective.
CoRR, 2024

Gender Gaps in Online Social Connectivity, Promotion and Relocation Reports on LinkedIn.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023
Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs.
EPJ Data Sci., December, 2023

Analysis of Research Trends in Computer Science: A Network Approach.
CoRR, 2023

Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds.
CoRR, 2023

An exploratory study of diversity among computer science graduate students at top North American universities.
CoRR, 2023

Predicting Users' Demographic Features Based on Searched Queries and Installed Apps and Games.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022
A new insight to the analysis of co-authorship in Google Scholar.
Appl. Netw. Sci., 2022


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