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Published: 09 October 2023

Dr Mehdi Toloo recognised among the top 2% of scientists worldwide

Dr Mehdi Toloo, Reader in Business Analytics, has been recognised among the top 2% of scientists worldwide in the Stanford Rankings for the second consecutive year, a phenomenal achievement and a testament to his ongoing work in his field.

Dr Mehdi Toloo has received the prestigious accolade of appearing in the top 2% of scientists worldwide in terms of citations, in Stanford University's recent rankings, published on 4 October 2023, for the second consecutive year.

A reflection of Dr Toloo's rigorous, detailed and expert approach to an extensive range of research interests, from Business Analytics and Operations Management to Performance Evaluation and Data Envelopment Analysis, all within Surrey Business School pass congratulations on for this thoroughly deserved recognition.

Upon receiving the news, Dr Toloo noted:

 "I am deeply honoured and grateful for the recognition from Stanford University, where I have been acknowledged as one of the top 2% of scientists worldwide for two consecutive years, considering both career-long and single-year impacts. This recognition underscores not only my dedication to the field of operations research and analytics but also the remarkable support I have received from my colleagues and peers. My commitment to advancing research in this field remains determined, and I look forward to contributing further to its advancement."

Dr Abhijit Sengupta, Head of the Department of Business Analytics and Operations, also commented:

"On behalf of the Department of Business Analytics and Operations, I would like to congratulate Mehdi on this wonderful achievement. To be recognized as belonging to the top 2% of scientists worldwide for a second consecutive year shows the impact and influence Mehdi's research has been within the vast area of operations research and analytics. Keep it up, Mehdi!"

A full breakdown of the corresponding datasets and further information can be found at: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/6