MFU Lecturers Ranked in the World's Top 2% Scientists 2022 by Stanford University

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     Mae Fah Luang University would like to congratulate seven lecturers who have been named in the global list of the top 2% of scientists created by Stanford University released on 10 October 2022. This list identifies the top scholars in their own areas of specialty and whose publications are most frequently cited by other authors around the globe. 

     Stanford University scientists have created the database of over 100,000 top scientists of the world on the basis of standardised citation indicators such as information on citations, H-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). The list selected the top 2% scientists worldwide in 22 scientific fields and 176 sub-fields by assessing their career-long impact until the end of 2021 and citation impact during the single calendar year 2021.  

     Emeritus Prof. Dr. Kevin D. Hyde, a lecturer of the School of Science and the Director of the Center of Excellence in Fungal Research has been ranked in the world's top 2% scientists for both career-long citation impact and single-year citation impact (2021). 

     Additionally, there were six lecturers who were named among the world's top 2% scientists for the single-year (2021) citation impact including 
1. Assoc. Prof. Dr.Saroat Rawdkuen, a lecturer of  the School of Agro-Industry (Food Science and Technology Programme); 
2. Assoc. Prof. Dr.Natthakan Iam-On, a lecturer of the School of Information Technology (Computer Engineering Programme);
3. Asst. Prof. Dr.Ekachai Chukeatirote, a lecturer of the School of Science (Biological Science Programme);
4. Assoc. Prof. Dr.Orawan Suwantong, a lecturer of the School of Science (Applied Chemistry Programme); 
5. Dr. Ruvishika Shehali Jayawardena, a lecturer of the School of Science (Biological Science Programme); and 
6. Dr.Saranyaphat Boonmee, a lecturer of the School of Science (Biological Science Programme)

For more information, please visit https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw

 

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