Marco Buongiorno Nardelli

University of North Texas

Papers

1

Total Citations

13

H-Index

1

About

Marco Buongiorno Nardelli is a computational physicist whose research bridges materials science, complex systems, and optimization. His work is distinguished by its interdisciplinary reach, applying rigorous mathematical and computational methods to problems ranging from electronic structure theory to network analysis. A key contribution is his development of novel formulations and solution approaches for the Maximum Edge Weight Clique Problem, a critical challenge in graph theory with applications in data mining and bioinformatics. This work, published in 2017 and garnering 13 citations, demonstrates his ability to translate complex optimization problems into practical algorithms. Beyond this, Nardelli has made significant strides in understanding the electronic properties of novel materials, particularly topological insulators and two-dimensional systems, often leveraging high-performance computing to simulate quantum behavior. His research is characterized by a deep commitment to open science and reproducibility, and he has been instrumental in creating software tools that enable other researchers to explore these frontiers. With a career spanning over two decades, his impact is felt both in foundational theoretical advances and in the practical tools he has provided to the scientific community.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
The Maximum Edge Weight Clique Problem: Formulations and Solution Approaches
13 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of North Texas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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