Researchers analyze their academic collaborations locally and internationally
Named for Russian physicist and mathematician, Nikolay Umov known for discovering the concept of Umov-Poynting vector and Umov effect. We have added more metrics to the Benchmarking module, provided further responsible use of metrics guidance and allow you to analyze the collaborations of individual Researchers.
Analyzing researchers’ collaborations
Following on from last month’s release, where heatmaps were added to the Collaboration module for Institutions and countries, you can now analyze collaborations for individual Researchers. Within the table view you can see who you are currently co-authoring with, which institutions they are affiliated with and analyze your publications in terms of citations, views and other metrics.
More metrics in benchmarking
It’s now possible to add an additional 20 metrics in the Benchmarking table view, which can then be exported for deeper analysis in Excel.
Responsible use of metrics guidance
Which metrics complement each other? Which should be used with care? And how should they be interpreted? We have now added some guidance in SciVal:
- Via a dotted line for line charts and striped lines in bar charts, we will indicate analyses with incomplete years, and thus if the metrics may be more volatile for the year;
- In-product metric guidance is available for each metric in Benchmarking. The additional information comes from the new Research Metrics Guidebook and added as separate links in the SciVal Support Hub.
Chinese RAUNKE now available
For relevant Chinese institutions, you can now see their ranking in the 2018 China's Best Universities by Shanghai Ranking Consultancy in the Overview module, along with the QS, THE and ARWU rankings.