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.

Analyze the collaborations of your Researchers

Figure 1. Analyze the collaborations of your Researchers
Delve further into your co-authored publications

Figure 2. Delve further into your co-authored publications

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.

Add an additional 20 metrics to the Benchmarking table

Figure 3. Add an additional 20 metrics to the Benchmarking table
Simply drag and drop extra metrics across to include in your analysis

Figure 4. Simply drag and drop extra metrics across to include in your analysis

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.
Dotted lines for various line charts denote incomplete years and thus volatility of the data, and is subject to change

Figure 5. Dotted lines for various line charts denote incomplete years and thus volatility of the data, and is subject to change
When adding extra metrics on the Benchmarking module you can find further information and suggestions of the best way to utilize these metrics

Figure 6. When adding extra metrics on the Benchmarking module you can find further information and suggestions of the best way to utilize these metrics

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.