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For Texas Tech University Department of Mechanical Engineering in 2024-2026, the graph shows 22 visible PIs and 7 internal PI collaborations. The main research signal is Engineering as the leading field (42% of slots across 16 PIs; 16 labels), Biomedical Engineering as the leading subfield (13% of slots across 7 PIs; 7 labels), and Advanced Battery Materials and Technologies as the leading topic (3% of slots across 2 PIs; 2 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The most prominent PIs by weighted works are Michelle L. Pantoya (11.6 weighted works; Energetic Materials and Combustion, Combustion and Detonation Processes). The clearest collaboration lines are Michelle L. Pantoya and Adélia J. A. Aquino (4 shared works, weight 2.2). The strongest breakdown groups are group 1 with 6 PIs, 6 internal connections, weight 2.4, around Biomedical Engineering, Automotive Engineering, Radiology, Nuclear Medicine and Imaging, led by James Yang, Paul F. Egan, Gordon F. Christopher.

Texas Tech Mechanical Engineering Faculty Co-authorship Network - 22 PIs, 7 collaborations | ProfessorNet