Report summary

The 2024-2026 picture for Texas Tech University Department of Computer Science is a 56-PI network with 30 internal PI collaborations. The research center of gravity is Computer Science as the leading field (50% of slots across 4 PIs; 4 labels), Artificial Intelligence as the leading subfield (22% of slots across 2 PIs; 2 labels), and Quantum Computing Algorithms and Architecture as the leading topic (17% of slots across 2 PIs; 2 labels). The specialization is notable and potentially attractive, with the caveat that adjacent fields may have fewer local peers. The top weighted PIs are Victor S. Sheng (14.6 weighted works; Advanced Neural Network Applications, Blockchain Technology Applications and Security). The strongest pairings are Victor S. Sheng and Rasoul Kiani (4 shared works, weight 3.5). The standout breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 21.4, around Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, led by Victor S. Sheng, Liyuan Gao, Rasoul Kiani.