Fatna Bent Ennebi Benabbou

École Nationale Supérieure d'Informatique

Papers

1

Total Citations

2

H-Index

1

About

Fatna Bent Ennebi Benabbou is a researcher whose work lies at the intersection of robotics, human-computer interaction, and bibliometric analysis. Her primary research areas include human-swarm interactions (HSI), swarm robotics, and the application of data-driven methods to map emerging scientific fields. In her most cited work, "Human-Swarm Interactions: A Bibliometric Analysis Based on CiteSpace" (2022), she provides a comprehensive overview of how humans can effectively coordinate with autonomous robot swarms—a challenge that blends biology, computer science, and psychology. This study, which has garnered early citations, offers a systematic map of the HSI research landscape, identifying key trends, influential authors, and thematic clusters. By employing CiteSpace, Benabbou demonstrates a methodological rigor that helps researchers and students navigate this multidisciplinary domain. Her contribution is particularly valuable as swarm robotics moves from theory to real-world applications in search-and-rescue, environmental monitoring, and defense. Benabbou’s work not only synthesizes existing knowledge but also highlights critical gaps, guiding future investigations into intuitive interfaces, trust, and scalability in human-swarm teams. For students entering this field, her bibliometric analysis serves as an essential roadmap, revealing the intellectual structure and evolution of a rapidly growing area of study.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Human-Swarm Interactions: A Bibliometric Analysis Based on CiteSpace
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: École Nationale Supérieure d'Informatique

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago