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 Barbara Chapman sits on this spectrum.
This scientist: 311 publications — 76th percentile
76% 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 Barbara Chapman sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Barbara Chapman is affiliated with Stony Brook University in the United States. Their primary research domain is in computer science, with additional contributions to engineering. The main subfields of study include computer networks and communications, hardware and architecture, information systems, artificial intelligence, and electrical and electronic engineering.
Their research covers a broad range of topics, prominently featuring parallel computing and optimization techniques, distributed and parallel computing systems, cloud computing and resource management, advanced data storage technologies, modular robots and swarm intelligence, molecular communication and nanonetworks, and IoT and edge/fog computing.
Barbara Chapman has published extensively, with 71 publications in computer science and 12 in engineering. Frequent publication venues include:
Recent papers authored or co-authored by Barbara Chapman include:
Barbara Chapman frequently collaborates with a group of researchers, including Johannes Doerfert, Shilei Tian, Abid M. Malik, Meifeng Lin, and Baodi Shan.
In addition to research papers, Barbara Chapman has contributed to academic literature through book publications. Notably, they authored "Languages and Compilers for Parallel Computing" published by Springer Science+Business Media in 2022.
Barbara Chapman;Gabriele Jost;Ruud van der Pas
Hans Zima;Barbara Chapman
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts
John Cheng;Max Grossman;Ty McKercher;Barbara Chapman
Barbara Chapman;Gabriele Jost;Ruud van der Pas
Barbara Chapman;Piyush Mehrotra;Hans Zima
Barbara Chapman;Tony Curtis;Swaroop Pophale;Stephen Poole
Haoqiang Jin;Dennis Jespersen;Piyush Mehrotra;Rupak Biswas
H.P. Zima;B.M. Chapman
Chunhua Liao;Oscar R. Hernandez;Barbara M. Chapman;Wenguang Chen
Barbara M. Chapman;Piyush Mehrotra;Hans P. Zima
Matthias S. Mueller;Barbara M. Chapman;Bronis R. de Supinski;Allen D. Malony
Chunhua Liao;Yonghong Yan;Bronis R. de Supinski;Daniel J. Quinlan
Hans Zima;Peter Brezany;Barbara Chapman;Piyush Mehrotra
B. Chapman;H. Zima;P. Mehrotra
M. Ujaldon;E.L. Zapata;B.M. Chapman;H.P. Zima
Barbara Chapman;Matthew Haines;Piyush Mehrota;Hans Zima
S. Benkner;B.M. Chapman;H.P. Zima
Barbara Chapman;Hans Moritsch;Piyush Mehrotra;Hans Zima
Barbara M. Chapman;Piyush Mehrotra;John Van Rosendale;Hans P. Zima
Jeffrey S Vetter;Ron Brightwell;Maya Gokhale;Pat McCormick
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens doors to several allied disciplines and lucrative career opportunities. Many students interested in this field also consider closely related programs available online, often for increased flexibility and affordability.
Those with an interest in engineering can look into an online degree in mechanical engineering or explore the best online electrical engineering programs USA. Both offer strong technical foundations and share core concepts with computer science.
Students fascinated by theory and research may pursue an online bachelor's degree in physics, which can complement skills learned in computer science.
For those targeting rapidly growing industries, the cheapest data science masters in usa can be a strategic pathway. Data science blends analytical and computational skills for diverse career prospects.
Choosing one of these degrees can expand your expertise, enhance your employability, and allow you to specialize in competitive sectors that value computer science knowledge.
Brookhaven National Laboratory
University of Edinburgh
Tottori University
Roche (Switzerland)
National Geophysical Research Institute
Boston University
University of Massachusetts Amherst
National University of Singapore
University of Sharjah
Southeast University
Humboldt-Universität zu Berlin
Imperial College London
Nanjing University
Hangzhou Normal University
National Academies of Sciences, Engineering, and Medicine
Czech Academy of Sciences
