As a Bibliometric Analyst, I provide the management and researchers of Chalmers University of Technology with bibliometric evaluations to boost the impact of their research and enhance research visibility to the world. I serve in this position with my in-depth knowledge of bibliographical databases, research methodologies, data capture, enhancing data quality, data-driven analysis, visualization, and data curation for further analysis. I love to work with bibliographical data meaningfully and present insightful stories through statistical models. I have been successfully evaluating the impacts of publications, research collaborations, and benchmarking between research entities. I also assist research departments, divisions, and groups in developing publication strategies and policies based on evidence-based bibliographical data analysis, as well as helping them enhance their research visibility through open access and academic social networks. I have developed new informetric methods for the composition of expert panels for research evaluation out of my PhD research. In this research, I have offered significant contributions to the academic literature by proposing six informetric methods to measure cognitive distance between evaluators and those being evaluated by using their publication profiles as a representation of their expertise. Earlier, I completed an Erasmus Mundus Joint MSc from the consortium of Oslo Metropolitan University, Tallinn University, and Parma University. My master's thesis revealed that controlled vocabulary and social tagging are ineffective as stand-alone tools for information retrieval. The best way for patrons to access materials would be through a hybrid system. My research interests include bibliometrics, research evaluation, scholarly communication, and open science, among others. I am involved in several development and research projects.
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