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 Scott Mahlke sits on this spectrum.
This scientist: 321 publications — 77th percentile
77% 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 Scott Mahlke sits on this spectrum.
This scientist: 82 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Scott Mahlke is a researcher affiliated with the University of Michigan-Ann Arbor in the United States. Their main area of expertise lies within computer science, with a significant focus on artificial intelligence, computer networks and communications, computer vision and pattern recognition, software, and automotive engineering.
Their scholarly work spans multiple topics including advanced neural network applications, adversarial robustness in machine learning, software testing and debugging techniques, caching and content delivery, machine learning and data classification, autonomous vehicle technology and safety, and software reliability and analysis research.
Recent papers authored by or involving Scott Mahlke include:
Scott Mahlke has collaborated frequently with several co-authors, including Reetuparna Das, Qingzhao Zhang, David Hong, Qi Alfred Chen, and Z. Morley Mao.
Their publications are found in venues such as arXiv (Cornell University), ACM Transactions on Embedded Computing Systems, Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2022 IEEE Intelligent Vehicles Symposium (IV), and ACM SIGMETRICS Performance Evaluation Review.
Throughout their career, Scott Mahlke has received recognitions including becoming an ACM Senior Member in 2013 and being named an ACM Fellow in 2020 for contributions in compiler code generation for instruction level parallelism and customized microprocessor architectures.
Scott A. Mahlke;David C. Lin;William Y. Chen;Richard E. Hank
Wen-Mei W. Hwu;Scott A. Mahlke;William Y. Chen;Pohua P. Chang
Mark S. Gordon;D. Anoushe Jamshidi;Scott Mahlke;Z. Morley Mao
Pohua P. Chang;Scott A. Mahlke;William Y. Chen;Nancy J. Warter
Jiecao Yu;Andrew Lukefahr;David Palframan;Ganesh Dasika
Mehrzad Samadi;Janghaeng Lee;D. Anoushe Jamshidi;Amir Hormati
Pohua P. Chang;Scott A. Mahlke;Wen-mei W. Hwu
Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel
Shuguang Feng;Shantanu Gupta;Amin Ansari;Scott Mahlke
Nathan Clark;Hongtao Zhong;Scott Mahlke
Manjunath Kudlur;Scott Mahlke
Mehrzad Samadi;Davoud Anoushe Jamshidi;Janghaeng Lee;Scott Mahlke
Scott A. Mahlke;Richard E. Hank;James E. McCormick;David I. August
K. Constantinides;S. Plaza;J. Blome;B. Zhang
Hyunchul Park;Kevin Fan;Scott A. Mahlke;Taewook Oh
Unknown
Nathan Clark;Manjunath Kudlur;Hyunchul Park;Scott Mahlke
Pohua P. Chang;Scott A. Mahlke;William Y. Chen;Wen-mei W. Hwu
T. Austin;V. Bertacco;S. Mahlke;Yu Cao
Andrew Lukefahr;Shruti Padmanabha;Reetuparna Das;Faissal M. Sleiman
Scott A. Mahlke;David C. Lin;William Y. Chen;Richard E. Hank
Wen-Mei W. Hwu;Scott A. Mahlke;William Y. Chen;Pohua P. Chang
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