Towards a Formal, Visual Framework of Emergent Cognitive Development of Scholars
Amir Hussain, Muaz A. Niazi

TL;DR
This paper introduces a formal and visual agent-based framework to model the cognitive development of researchers over time, using citation indices as indicators of their scholarly growth.
Contribution
It presents a novel temporal cognitive level network model that quantifies and visualizes the cognitive evolution of researchers through citation-based metrics.
Findings
Validated the model using historic citation data
Demonstrated the effectiveness of the TCLN framework
Provided a new perspective on modeling scholarly cognitive development
Abstract
Understanding the cognitive evolution of researchers as they progress in the academia is an important but complex problem, a problem belonging to a class of problems, which often require the development of models for gaining further understanding in the intricacies of the domain. The research question that we address in this paper is how to effectively model this temporal cognitive mental development of prolific researchers. Our proposed solution to this problem is based on noting that the academic progression and notability of a researcher are linked with a progressive increase in the citation count for the scholar's refereed publications quantified using indices such as the Hirsch index. In other words, we propose the use of yearly cognitive increment of a scholar's cognition to be quantifiable using a function of the scholar's citation index, thereby considering the index as an…
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