In the recently published "An Exploratory Perspective to Measure the Emergence Degree for a Specific Technology Based on the Philosophy of Swarm Intelligence", Li, Porter, et. al. introduce a conceptual framework inspired by swarm intelligence theory to measure the emergence degree or level for a specific technology. A set of annual emerging technologies of the World Economic Forum is used as the case study.

In the recent paper "Interdisciplinary knowledge combinations and emerging technological topics: Implications for reducing uncertainties in research evaluation,"  Seokbeom Kwon, Jan Youtie, and Alan L Porter put forth a new indicator of emerging technological topics as a tool for addressing challenges inherent in the evaluation of interdisciplinary research. They present this indicator and test its relationship with interdisciplinary and atypical research combinations.

The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. In the paper "Tracking and Mining the COVID-19 Research Literature" this research is profiled to help make that knowledge more accessible via overviews and novel categorizations. Porter et. al. provide websites offering means for researchers to probe more deeply to address specific questions. The authors further probe and reassemble COVID-19 topical content to address research issues concerning topical evolution and emphases on tactical vs. strategic approaches to mitigate this pandemic and reduce future viral threats. Data suggest that heightened attention to strategic, immunological factors is warranted. Connecting with, and transferring in, research knowledge from outside the COVID-19 domain demands a viable COVID-19 knowledge model. This study provides complementary topical categorizations to facilitate such modeling to inform future Literature-Based Discovery (LBD) endeavors.