The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Julia Kempe sits on this spectrum.
This scientist: 71 publications — 2nd percentile
2% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Julia Kempe sits on this spectrum.
This scientist: 35 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Julia Kempe is affiliated with New York University in the United States. Their research primarily focuses on computer science, with a particular emphasis on artificial intelligence and related subfields. The scope of their work also extends to computer vision and pattern recognition, statistical and nonlinear physics, materials chemistry, and radiology, nuclear medicine, and imaging.
The scientist's main research topics include adversarial robustness in machine learning, advanced neural network applications, model reduction, and neural networks. Additional areas of focus encompass machine learning applications in materials science, COVID-19 diagnosis using artificial intelligence, neural networks and their applications, and domain adaptation as well as few-shot learning techniques.
Julia Kempe has contributed to a substantial number of publications, with research appearing prominently in the venue "arXiv (Cornell University)", where they have 28 publications. They also have work published in the "Journal of Statistical Mechanics Theory and Experiment".
Frequent co-authors collaborating with Julia Kempe include:
Recent papers showcasing their research activity include:
Julia Kempe's contributions also extend to presenting foundational aspects and advancements in machine learning robustness and neural network efficiency.
In recognition of professional standing, Julia Kempe was named a Member of Academia Europaea in 2018.
Julia Kempe
Neil Shenvi;Julia Kempe;Julia Kempe;K. Birgitta Whaley
D. P. DiVincenzo;D. Bacon;J. Kempe;J. Kempe;G. Burkard
Dorit Aharonov;Wim van Dam;Julia Kempe;Zeph Landau
Julia Kempe;Alexei Kitaev;Oded Regev
Dorit Aharonov;Andris Ambainis;Julia Kempe;Umesh Vazirani
Julia Kempe;Julia Kempe;D. Bacon;D. A. Lidar;K. B. Whaley
Dave Bacon;Julia Kempe;Julia Kempe;Daniel A. Lidar;K. B. Whaley
Peter Zoller;Peter Zoller;Thomas Beth;D. Binosi;D. Binosi;Rainer Blatt;Rainer Blatt
M. A. Nielsen;J. Kempe
Andris Ambainis;Julia Kempe;Alexander Rivosh
Julia Kempe;Julia Kempe
Dorit Aharonov;Daniel Gottesman;Sandy Irani;Julia Kempe
Dmitry Gavinsky;Julia Kempe;Iordanis Kerenidis;Ran Raz
D. Aharonov;W. van Dam;J. Kempe;Z. Landau
J. Kempe;M. A. Nielsen
Christoph Simon;Julia Kempe;Julia Kempe
Julia Kempe;Julia Kempe
Julia Kempe;Oded Regev
Julia Kempe
Dmitry Gavinsky;Julia Kempe;Iordanis Kerenidis;Ran Raz
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