Position in the ranking is based on each scientist’s D-index using data compiled from OpenAlex and CrossRef by December 21st 2022.
This ranking lists all the best researchers from the Electronics and Electrical Engineering discipline and affiliated with École Polytechnique Fédérale de Lausanne. There are a total of 38 researchers included with 15 of them also being included in the global ranking. The total sum for the D-index values for the best scientists in École Polytechnique Fédérale de Lausanne is 2,145 with a mean value for the h-index of 56.45. The total sum of publications for the best scientists in École Polytechnique Fédérale de Lausanne is 13,633 with the mean value for publications per scientist of 358.76.
The data for h-index, citations, awards, and publications presented in this ranking were last updated on Dec 21st, 2022.
This ranking lists all top researchers affiliated with École Polytechnique Fédérale de Lausanne. There are a total of 38 scientists included with 15 featured in the ranking of leading scholars. A prominent scholar is one with a h-index >= 30 in the area of Electronics and Electrical Engineering.
The total sum for the D-index values for all leading scientists in École Polytechnique Fédérale de Lausanne in 2022 is 2,145 with a mean value for the h-index of 56.45.
The total number of all publications by top researchers in École Polytechnique Fédérale de Lausanne in 2022 is 13,633 with a mean value for publications per scholar of 358.76.
The total number of citations by leading scholars at École Polytechnique Fédérale de Lausanne in 2022 is 574,119 with a mean value for citations per researchers of 15,108.39.
École Polytechnique Fédérale de Lausanne is currently ranked as no. 5 in our Electronics and Electrical Engineering university ranking. It is also ranked 1 in the university ranking for Switzerland.
Researchers from École Polytechnique Fédérale de Lausanne have received a total of 30 awards and recognitions.
Please consider that the research institution or university for a scientist is based on the affiliation data shown on a variety of sources, including their personal website, Google Scholar profile, MAG profile, and LinkedIn.
