Thomson Reuters Essential Science Indicators^{SM} recently identified our following paper as “one of the most cited papers in the field of Computer Science”:

C. Y. Lee and X. Yao, “Evolutionary programming using the mutations based on the {L}\’evy probability distribution,” IEEE
Transactions on Evolutionary Computation, 8(1):1-13, January 2004.

Available from IEEE Xplore as a PDF file.

This is the second time that CERCIA’s paper has been identified by Essential Science Indicators^{SM} as highly cited. The first one was:

J. He and X. Yao, “From an Individual to a Population: An Analysis
of the First Hitting Time of Population-Based Evolutionary Algorithms,”
IEEE Transactions on Evolutionary Computation, 6(5):495-511,
October 2002.

Available from IEEE Xplore as a PDF file.
According to Essential Science Indicators$^{SM}$, “the number of citations this paper received places it in the top 1%  within its field”.