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 Philip Heidelberger sits on this spectrum.
This scientist: 222 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 Philip Heidelberger sits on this spectrum.
This scientist: 60 D-Index — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Philip Heidelberger is affiliated with IBM in the United States. Their professional work is associated primarily with research and development in computing, particularly in areas aligned with discrete event simulations and quantum computing.
The awards received by Philip Heidelberger highlight contributions in both theoretical and applied computational sciences. They were recognized with the ACM Fellow distinction in 1996 for contributions to the theory and practice of efficient discrete event simulations. Two years earlier, in 1994, they received the IEEE Fellow award for contributions specifically to the theory of discrete event simulations. In 2006, Heidelberger was awarded the ACM Gordon Bell Prize for work related to the BlueGene/L Supercomputer and Quantum Chromodynamics.
The focus on discrete event simulations indicated by these awards suggests their research centers on simulation methods critical to modeling complex systems where events occur at discrete points in time. The connection to the BlueGene/L Supercomputer and Quantum Chromodynamics reflects involvement in high-performance computing and applications of computational methods in physics.
Philip Heidelberger has not been listed with any available recent papers, coauthors, publication venues, book publications, main fields or subfields of study, or main topics of work in the source data.
Matthias A. Blumrich;Dong Chen;George L. Chiu;Thomas M. Cipolla
Philip Heidelberger
N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor
Philip Heidelberger;Peter D. Welch
A. Gara;M. A. Blumrich;D. Chen;G. L.-T. Chiu
N. R. Adiga;M. A. Blumrich;D. Chen;P. Coteus
V. Castelli;R. E. Harper;P. Heidelberger;S. W. Hunter
Sameh Asaad;Ralph E. Bellofatto;Michael A. Blocksome;Matthias A. Blumrich
Ruud A. Haring;Martin Ohmacht;Thomas W. Fox;Michael K. Gschwind
Paul Glasserman;Philip Heidelberger;Perwez Shahabuddin
Paul Glasserman;Philip Heidelberger;Perwez Shahabuddin;Tim Zajic
Dong Chen;Noel A. Eisley;Philip Heidelberger;Robert M. Senger
A. Goyal;P. Shahabuddin;P. Heidelberger;V.F. Nicola
Paul Glasserman;Philip Heidelberger;Perwez Shahabuddin
Paul Glasserman;Philip Heidelberger;Perwez Shahabuddin
George Almási;Philip Heidelberger;Charles J. Archer;Xavier Martorell
Matthias A. Blumrich;Dong Chen;George Chiu;Thomas M. Cipolla
Philip Heidelberger;Xi-Ren Cao;Michael A. Zazanis;Rajan Suri
Cheng-Shang Chang;Philip Heidelberger;Sandeep Juneja;Perwez Shahabuddin
J.M. Stone;H.S. Stone;P. Heidelberger;J. Turek
Dong Chen;N. A. Eisley;P. Heidelberger;R. M. Senger
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 28
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Swiss Federal Institute for Forest, Snow and Landscape Research
