activity
20212025
most citedPredicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DL2025

Interpretable Link Prediction in AI-Driven Cancer Research: Uncovering Co-Authorship Patterns

Shahab Mosallaie, Andrea Schiffauerova, Ashkan Ebadi

Artificial intelligence (AI) is transforming cancer diagnosis and treatment. The intricate nature of this disease necessitates the collaboration of diverse stakeholders with varied…

cs.AI2025

Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location

Shirin Tavakoli Kafiabad, Andrea Schiffauerova, Ashkan Ebadi

Optimizing national scientific investment requires a clear understanding of evolving research trends and the demographic and geographical forces shaping them, particularly in light…

cs.OH2024★ 1 cited

Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach

Koosha Shirouyeh, Andrea Schiffauerova, Ashkan Ebadi

Star scientists are highly influential researchers who have made significant contributions to their field, gained widespread recognition, and often attracted substantial research f…

cs.SI2024★ 1 cited

Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations

Mohammadmahdi Toobaee, Andrea Schiffauerova, Ashkan Ebadi

The role of geographical proximity in facilitating inter-regional or inter-organizational collaborations has been studied thoroughly in recent years. However, the effect of geograp…

cs.DL2022

Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model

Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi

Early identification of emergent topics is of eminent importance due to their potential impacts on society. There are many methods for detecting emerging terms and topics, all with…

cs.SI2022

Women, artificial intelligence, and key positions in collaboration networks: Towards a more equal scientific ecosystem

Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi

Scientific collaboration in almost every discipline is mainly driven by the need of sharing knowledge, expertise, and pooled resources. Science is becoming more complex which has e…

physics.soc-ph2021

Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology

Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry +1

Incorporating existing knowledge is vital for innovating, discovering, and generating new ideas. Knowledge production through research and invention is the key to scientific and te…

cs.SI2021

Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem

Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi

Gender disparity in science is one of the most focused debating points among authorities and the scientific community. Over the last few decades, numerous initiatives have endeavor…