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In this webinar, Professors Junshi Xia and Zhang Feng delved into the pivotal aspects of disaster data management, encompassing data sharing, discovery, and integration. This session was more than a technical discussion, it was a unique opportunity for our Early Career Researcher network to gain insights and be inspired by professionals who have navigated this complex field successfully. Our distinguished speakers covered the integral details of disaster data management but also provided guidance on how early career researchers can carve out their own successful path in this vital discipline. Their professional journeys served as invaluable roadmaps, offering practical advice and strategic direction.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |