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 Peter J. Haas sits on this spectrum.
This scientist: 183 publications — 40th percentile
40% 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 Peter J. Haas sits on this spectrum.
This scientist: 51 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Peter J. Haas is affiliated with the University of Massachusetts Amherst in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.
Their research covers a range of topics, notably Data Management and Algorithms, Advanced Database Systems and Queries, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Palliative Care and End-of-Life Issues, Simulation Techniques and Applications, and Data Stream Mining Techniques.
Peter J. Haas has authored multiple papers in prominent academic venues. Recent publications include:
Frequent coauthors working with Peter J. Haas include Alexandra Meliou, Azza Abouzied, Matteo Brucato, J. Friedrich, and S. Gerassimov, reflecting collaboration across multiple research projects.
The scientist's frequent publication venues further illustrate their research breadth, with multiple papers appearing in arXiv (Cornell University), Proceedings of the VLDB Endowment, ACM Transactions on Modeling and Computer Simulation, BMC Health Services Research, and the 2022 Winter Simulation Conference (WSC).
Peter J. Haas has been recognized within the scientific community through awards such as the ACM Fellow title awarded in 2013 for leadership in probabilistic methods for the management and analysis of data and for system simulation. In 2016, they were also named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS).
Joseph M. Hellerstein;Peter J. Haas;Helen J. Wang
Viswanath Poosala;Peter J. Haas;Yannis E. Ioannidis;Eugene J. Shekita
Rainer Gemulla;Erik Nijkamp;Peter J. Haas;Yannis Sismanis
Graham Cormode;Minos Garofalakis;Peter J. Haas;Chris Jermaine
Peter J. Haas;Joseph M. Hellerstein
Peter J. Haas
Ihab F. Ilyas;Volker Markl;Peter Haas;Paul Brown
Peter J. Haas;Jeffrey F. Naughton;S. Seshadri;Lynne Stokes
Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas
Ravi Jampani;Fei Xu;Mingxi Wu;Luis Leopoldo Perez
Rakesh Agrawal;Peter J. Haas;Jerry Kiernan
Sudipto Das;Yannis Sismanis;Kevin S. Beyer;Rainer Gemulla
J.M. Hellerstein;R. Avnur;A. Chou;C. Hidber
Peter J. Haas;Arun N. Swami
Kevin Beyer;Peter J. Haas;Berthold Reinwald;Yannis Sismanis
Scott Spangler;Angela D. Wilkins;Benjamin J. Bachman;Meena Nagarajan
Peter J. Haas;Jeffrey F. Naughton;S. Seshadri;Arun N. Swami
Bin Chen;Peter Haas;Peter Scheuermann
P.J. Haas
Yannis Sismanis;Paul Brown;Peter J. Haas;Berthold Reinwald
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