Fatna Bent Ennebi Benabbou
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
Top Papers
- 1Human-Swarm Interactions: A Bibliometric Analysis Based on CiteSpace2 citations · 2022