Report summary

For Texas A&m University Department of Electrical and Computer Engineering in 2018-2020, the graph shows 41 visible PIs and 14 internal PI collaborations. The main research signal is Engineering as the leading field (35% of slots across 28 PIs; 28 labels), Biomedical Engineering as the leading subfield (10% of slots across 10 PIs; 10 labels), and Gene expression and cancer classification as the leading topic (3% of slots across 4 PIs; 4 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The most prominent PIs by weighted works are Pao Tai Lin (21.1 weighted works; Photonic and Optical Devices, Spectroscopy and Laser Applications); Anthony Guiseppi‐Elie (19.1 weighted works; Neuroscience and Neural Engineering, Analytical Chemistry and Sensors). The clearest collaboration lines are Xiaoning Qian and Edward R. Dougherty (13 shared works, weight 6.7); Le Xie and P. R. Kumar (13 shared works, weight 6.3). The strongest breakdown groups are group 1 with 6 PIs, 7 internal connections, weight 14.2, around Molecular Biology, Cellular and Molecular Neuroscience, Artificial Intelligence, led by Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty.