Zoom in for PI names; click circles, group labels, and lines for PI, group, and connection details.
Rendering network...

Report summary

For Columbia University Department of Chemical Engineering in 2021-2023, the graph shows 24 visible PIs and 16 internal PI collaborations. The main research signal is Engineering as the leading field (26% of slots across 14 PIs; 14 labels), Materials Chemistry as the leading subfield (15% of slots across 9 PIs; 9 labels), and Advanced Battery Materials and Technologies as the leading topic (10% of slots across 7 PIs; 7 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Jingguang G. Chen (33.3 weighted works; Catalytic Processes in Materials Science, CO2 Reduction Techniques and Catalysts). The clearest collaboration lines are Venkat Venkatasubramanian and Vipul Mann (9 shared works, weight 8.6). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 19.5, around Electrical and Electronic Engineering, Automotive Engineering, Materials Chemistry, led by Scott Banta, Daniel V. Esposito, Lauren E. Marbella.

Columbia Chemical Engineering Faculty Co-authorship Network - 24 PIs, 16 collaborations | ProfessorNet