The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where R. T. Rockafellar sits on this spectrum.
This scientist: 206 publications — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where R. T. Rockafellar sits on this spectrum.
This scientist: 80 D-Index — 96th percentile
96% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
R. T. Rockafellar is affiliated with the University of Washington in the United States. Their research focuses predominantly on mathematics and computer science, specifically within fields such as computational theory and mathematics, numerical analysis, economics and econometrics, management science and operations research, and computational mechanics.
The primary topics covered by Rockafellar's body of work include optimization and variational analysis, advanced optimization algorithms research, risk and portfolio optimization, economic theories and models, sparse and compressive sensing techniques, fixed point theorems analysis, and fuzzy systems and optimization.
Rockafellar's recent publications reflect a strong engagement with mathematical programming and optimization. Notable papers include:
Frequent co-authors collaborating with Rockafellar have included Matúš Benko, Feilong Wang, Xin Wang, Yuan Hong, and Xuegang. This indicates a consistent collaboration network supporting research productivity.
Rockafellar's publications have appeared in several specialized venues. The most frequent publication venues are:
Throughout their career, Rockafellar has received awards recognizing contributions to operations research and mathematical optimization. These honors include being named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2002, receiving the INFORMS John von Neumann Theory Prize in 1999, delivering the John von Neumann Lecture in 1992, and being awarded the Dantzig Prize by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS) in 1982.
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