World's Top 2% Scientists


Stanford University’s “World’s Top 2% Scientists list” is a prestigious ranking that highlights the most influential researchers across a broad range of scientific fields. Compiled in collaboration with Elsevier and based on data from Scopus, this list serves as a powerful tool for identifying global scientific leaders.

Prof. Dr. Minhaj Ahmad Khan from BZU (Department of Computer Science) is a distinguished researcher on his own and an expert in his field. Recently, he has earned international recognition for his outstanding contributions to the scientific community. For several years now, he has been listed among the world's top 2% scientists by Stanford University which is a testament to his tireless efforts and groundbreaking research. This prestigious honor is a reflection of Dr. Minhaj's commitment to advancing knowledge and driving innovation in his field.

Being listed among the Top 2% of scientists is a prestigious recognition of one’s contributions to science. It signifies global recognition for research excellence, often boosting a scientist’s reputation in academia and industry. It also serves as a reference point for institutions and governments to assess the influence of their research programs.

Since 2020, Stanford University releases a comprehensive list of the world's top 2% scientists yearly, based on their research output and citations. This list has since become a benchmark for scientific excellence, recognizing the contributions of researchers across various fields.

The Stanford List has been widely recognized as a prestigious benchmark for scientific excellence. It has been used by universities, research institutions, and governments to identify top talent and recognize outstanding contributions to science.

The data for ranking is compiled by Stanford University and published by Elsevier. The researchers are ranked based on a composite index factoring in several bibliometrics including citations, hirsch-index, citations to papers in different authorship positions, etc., to identify the top 2% of scientists in their respective fields.