NEWS

NM SMART Grid Center Faculty Named in Top 2% of Scientists Worldwide by Stanford Analysis

Mountains with text "top 2% in the world" overlaid
Brittney Van D… December 10, 2021

Team members from New Mexico EPSCoR's NM SMART Grid Center have earned the distinction of being among the top 2% of scientists worldwide as measured by the impact of their research publications.

The six project faculty were identified by Stanford researchers in an analysis of SCOPUS, the world's largest abstract and citation database of peer-reviewed literature, published online in October 2021. The dataset included more than 100,000 top-scientists classified into 22 scientific fields and 176 subfields, and ranked individuals for both their career-long and annual impact by the number of times their work is cited in other research.

The following NM SMART Grid Center researchers were recognized for their career-long impact:

 

 

Abdullah Mueen

Abdullah Mueen

Computer Science
UNM

Ali Bidram

Electrical and Computer Engineering
UNM

William Michener

University Libraries and NM EPSCoR
University of New Mexico

 

The following NM SMART Grid Center researchers were recognized for their single year (2020) impact:

 

Abdullah Mueen

Computer Science
University of New Mexico

Ali Bidram

Electrical and Computer Engineering
UNM

Eirini Eleni Tsiropoulou

Electrical and Computer Engineering
UNM

 

Satyajayant Misra

Computer Science
NMSU

William Michener

University Libraries and NM EPSCoR
UNM

Xiang Sun

Electrical and Computer Engineering
UNM

 

Heartiest congratulations to these researchers!

 

References

Baas, Jeroen; Boyack, Kevin; Ioannidis, John P.A. (2021), “August 2021 data-update for “Updated science-wide author databases of standardized citation indicators””, Mendeley Data, V3, doi: 10.17632/btchxktzyw.3. Link: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/3

Schotten, M., Meester, W. J., Steiginga, S., & Ross, C. A. (2017). A brief history of Scopus: The world’s largest abstract and citation database of scientific literature. In Research Analytics (pp. 31-58). Auerbach Publications.