Citation metrics have value because they aim to make scientific assessment a level playing field, but urgent transparency-based adjustments are necessary to ensure that measurements yield the most accurate picture of impact and excellence. One problematic area is the handling of self-citations, which are either excluded or inappropriately accounted for when using bibliometric indicators for research evaluation. Here, in favor of openly tracking self-citations we report on self-referencing behavior among various academic disciplines as captured by the curated Clarivate Analytics Web of Science database. Specifically, we examined the behavior of 385,616 authors grouped into 15 subject areas like Biology, Chemistry, Science and Technology, Engineering, and Physics. These authors have published 3,240,973 papers that have accumulated 90,806,462 citations, roughly five percent of which are self-citations. Up until now, very little is known about the buildup of self-citations at the author-level and in field-specific contexts. Our view is that hiding self-citation data is indefensible and needlessly confuses any attempts to understand the bibliometric impact of one’s work. Instead we urge academics to embrace visibility of citation data in a community of peers, which relies on nuance and openness rather than curated scorekeeping.

There is a lack of technology innovation studies in the maritime sector focusing on developing countries. Generally, these countries present various limitations due to their own social, economic, and political contexts. Moreover, the lack of leadership support, stakeholder involvement, training, resources, and financial and academic support affects successful implementation of technological innovation. The objective of this paper is to emphasize the implementation of Information and Communication Technology (ICT) in the maritime sector and port companies of developing countries by investigating the impact of an ICT solution on port operations from berth to gate through yard operations. Our case study consists of the implementation of a Terminal Operating System (TOS) in the Port of Radès, the main port in Tunisia. An examination of the port operations before and after the implementation of the TOS is carried out. Then, the effects of TOS implementation on terminal operations are studied through a survey based on Key Performance Indicators (KPI) and submitted to managers of three port stakeholders. Key findings indicate that TOS allows an increase in the level of productivity from the quay crane to the gate, allowing decisions to be made based on real-time data and ensuring that the terminal is operating at its full potential. More specifically, berthing and delivery service times are improved thanks to the Electronic Data Interchange (EDI) and the streamlining of the gate and yard activities system. The results also indicate that reputation is progressively improving due to the ability to locate and monitor hazardous goods flowing through the port, and the ability to dispatch engine movement inside the port using the new terminal layout. However, in contrast with the port authority, the results highlight a lack of adaptability on the part of the stevedoring company, which requires time to progressively adapt to the new rules and constraints.

International audienceGovernments are making considerable efforts in order to enhance citizens' participation in their decision-making and policy processes. In order to understand the citizens' needs, the decision makers need to know more about citizens' behaviors, preferences and ability to use e-government online services. Recently, social media represents a strategic opportunity that can help governments to become more transparent by providing citizens with better services and enhancing information's access in a way that makes them more involved. In this paper, we propose a new conceptual framework that investigates users and communities' profiles based on social media. The aim of this paper is to explore the social citizens' profiles in order to improve and adapt public services, decision making, information sharing, transparency and collaboration enhancing...to the individual's current and relevant needs

In this paper, we aim at modeling the user profile containing timely relevant information extracted from his interactions with search engines. We considered a time-sensitive user profile that provides relevant and fresh information inferred from his submitted queries, reformulated queries and clicked results. We used a unique profile that integrates current and recurrent interactions within a session giving more importance to recent interactions without ignoring the old ones. We conducted experiments using the 2013 TREC Session track and the ClueWeb12 collection that showed the effectiveness of our approach compared to state-of-the-art ones.