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 Rajeev Alur sits on this spectrum.
This scientist: 381 publications — 85th percentile
85% 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 Rajeev Alur sits on this spectrum.
This scientist: 99 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Rajeev Alur is affiliated with the University of Pennsylvania in the United States. Their research primarily focuses on the field of Computer Science, with extensive work in several specialized subfields including Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Software, and Information Systems.
Their publications cover a broad range of topics, particularly emphasizing Formal Methods in Verification, Adversarial Robustness in Machine Learning, Software Testing and Debugging Techniques, Reinforcement Learning in Robotics, Software System Performance and Reliability, Software Engineering Research, and Software Reliability and Analysis Research.
Frequent coauthors collaborating with Rajeev Alur include:
Most of Rajeev Alur's work has been published in the following venues:
Recent selected papers authored or co-authored by Rajeev Alur include:
Rajeev Alur has been recognized with several awards, including:
Rajeev Alur;David L. Dill
Rajeev Alur;Kousha Etessami;P. Madhusudan
Rajeev Alur;Costas Courcoubetis;Nicolas Halbwachs;Thomas A. Henzinger
Rajeev Alur;Thomas A. Henzinger;Orna Kupferman
Rajeev Alur;Costas Courcoubetis;Thomas A. Henzinger;Pei-Hsin Ho
Rajeev Alur;David L. Dill
R. Alur;C. Courcoubetis;D. Dill
R. Alur;C. Courcoubetis;D. Dill
R. Alur;T.A. Henzinger;G. Lafferriere;G.J. Pappas
Rajeev Alur;Thomas A. Henzinger
Rajeev Alur;Thomas A. Henzinger
R. Alur;T.A. Henzinger;Pei-Hsin Ho
Rajeev Alur;Tomás Feder;Thomas A. Henzinger
Rajeev Alur;Thomas A. Henzinger
Rajeev Alur;Rastislav Bodik;Garvit Juniwal;Milo M. K. Martin
R. Alur;T.A. Henzinger
Rajeev Alur
Rajeev Alur;P. Madhusudan
Unknown
Rajeev Alur;Rastislav Bodík;Eric Dallal;Dana Fisman
R. Alur;T.A. Henzinger
If you think any of the details on this page are incorrect, let us know.
Exploring computer science as a field of study opens up opportunities to pair your major with complementary subjects. Many students find success by considering majors in college that align with their interests in technology, business, or engineering. This strategic approach can enhance skills and expand career options in the growing tech market.
For those seeking a flexible path, there are several easy masters programs to get into online. These programs offer a smoother admission process and often provide accelerated learning for working professionals or recent graduates.
Continuing education doesn’t have to be costly. If you are aiming for advanced credentials, you can find some of the cheapest doctoral programs online that offer quality education at a lower cost. Additionally, educators looking for leadership roles may benefit from cheapest online edd programs that are both flexible and affordable.
As the demand for computer science skills grows, leveraging a well-planned educational pathway can lead to rewarding and diverse career opportunities.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 97
China University of Geosciences
Sichuan University
Auburn University
BOKU University
University of Vermont
Deakin University
University of Fukui
University of Oxford
National University of Singapore
Nanjing University
University of Gothenburg
Tokyo Metropolitan University
Eszterházy Károly Catholic University
Harvard University
University of Copenhagen
