ABSTRACT
One of the main concerns of researchers and institutions is how to assess the future performance of scholars and identify their potential to become successful scientists. In this study, we model scholarly success in terms of the probability of a scholar belonging to a group of highly impactful scholars as determined by their citation trajectory structures. To this end, we developed a new set of impact measures based on a scholar's citation trajectory structure (rather than on absolute citation or h-index rates), that show a stable trend and scale for highly impactful scholars, independent of their field of study, seniority and citation index. These measures were then incorporated as influence factors into the logistic regression models and used as features for probabilistic classifiers based on these models to identify the successful scholars in the heterogeneous corpus of 400 of most and least cited professors from two Israeli universities. From the practical point of view, the study may yield useful insights and serve as an aid in making promotion decisions by institutions, as well as a self-assessment tool for researchers who strive to increase their academic influence and become leaders in their field.
ABSTRACT
This research investigates the main factors which motivate users to provide falsified details upon website registration, and identifies the types of personal details that are most prone for falsification. In addition, we predict the tendency for identity falsification by examining various factors, such as: privacy concern and socio-demographic factors. We also relate those issues to the contemporaneous COVID-19 pandemic and examine its influence on privacy concerns and the willingness to expose personal details. To this end, a user study was carried out among 245 students of the Israeli academia, via a quantitative method using online closed-ended questionnaires. We found that privacy-related factors are the most prevalent for identity falsification. In addition, the regression showed the higher the privacy concerns rates, the higher chance for identity falsification. It seems that the COVID-19 pandemic increased privacy concerns among online users, which may even increase the tendency of the examined behavior.
