The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Rakesh Nagi sits on this spectrum.
This scientist: 221 publications — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Rakesh Nagi sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Rakesh Nagi is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans key areas within engineering and computer science, with a focus on industrial and manufacturing engineering, management science and operations research, and subfields incorporating statistical and nonlinear physics, artificial intelligence, and computer networks and communications.
The scientist's research topics cover a range of applied and theoretical areas including:
Recent publications by Rakesh Nagi demonstrate a multidisciplinary approach, with papers in diverse venues such as Journal of Energy Storage, IISE Transactions, IEEE conferences, Parallel Computing, and arXiv. Notable works include:
The scientist frequently collaborates with peers in their field, including Ali Yekkehkhany, Timothy Murray, Arash Ghayoori, Wen-mei Hwu, and Jugal Garg, reflecting ongoing joint contributions in research efforts.
Rakesh Nagi's work is often published in venues such as arXiv (Cornell University), IEEE Transactions on Automation Science and Engineering, IISE Transactions, International Journal of Production Research, and Socio-Economic Planning Sciences, indicating an engagement with interdisciplinary and applied research communities.
Their academic output bridges theoretical and applied domains, integrating advanced computational methods with engineering challenges to address complex problems in optimization, supply chains, and social influence phenomena.
Ana Maria Sarmiento;Rakesh Nagi
Luis M. Sanchez;Rakesh Nagi
George Harhalakis;R. Nagi;J.M. Proth
Feng Pan;Rakesh Nagi
Alfred L. Guiffrida;Rakesh Nagi
Mangesh P. Bhandarkar;Rakesh Nagi
Rakesh Nagi;George Harhalakis;Jean Marie Proth
Vijay K. Shetty;Moises Sudit;Rakesh Nagi
Liugen Song;Rakesh Nagi
Frank Mufalli;Rajan Batta;Rakesh Nagi
Feng Pan;Rakesh Nagi
Alfred L. Guiffrida;Rakesh Nagi
D. Raheja;J. Llinas;R. Nagi;C. Romanowski
Satyaki Ghosh Dastidar;Rakesh Nagi
Mangesh P. Bhandarkar;Blair Downie;Martin Hardwick;Rakesh Nagi
M. F. Anwar;Rakesh Nagi
Carol J. Romanowski;Rakesh Nagi
M. F. Anwar;R. Nagi
Selçuk Savas;Rajan Batta;Rakesh Nagi
C.J. Romanowski;R. Nagi
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