Matthew H. Austern
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Hardware and Architecture top 2%
- Co-authors
- Grzegorz MalewiczJames C. DehnertGrzegorz CzajkowskiAart J. C. BikR. N. CahnJeffrey D. AndersonAlexander A. StepanovRoss A. Towle
- Topics
- Particle physics theoretical and experimental studies (3 papers)Distributed and Parallel Computing Systems (2 papers)Dark Matter and Cosmic Phenomena (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureComputer Networks and Communications
- Journals
- Physical Review LettersSoftware Practice and ExperiencePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields
- Partner nations
- United StatesIsrael
In The Last Decade
Matthew H. Austern
9 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 1.7k
- Computer Networks and Communications 1.2k
- Information Systems 1.2k
- Artificial Intelligence 979
- Hardware and Architecture 419
Countries citing papers authored by Matthew H. Austern
This map shows the geographic impact of Matthew H. Austern's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew H. Austern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew H. Austern more than expected).
Fields of papers citing papers by Matthew H. Austern
This network shows the impact of papers produced by Matthew H. Austern. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew H. Austern. The network helps show where Matthew H. Austern may publish in the future.
Co-authorship network of co-authors of Matthew H. Austern
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew H. Austern. A scholar is included among the top collaborators of Matthew H. Austern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew H. Austern. Matthew H. Austern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pregelbreakdown → | 2297 |
| 2 | 9 | |
| 3 | 57 | |
| 4 | 5 | |
| 5 | Generic Programming and the STL: Using and Extending the C++ Standard Template Library | 136 |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | 7 |
About Matthew H. Austern
Matthew H. Austern is a scholar working on Development, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Distributed and Parallel Computing Systems (2 papers) and Dark Matter and Cosmic Phenomena (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Hardware and Architecture (419 citations) and Computer Networks and Communications (1.2k citations). Matthew H. Austern has collaborated with scholars based in United States and Israel. Frequent co-authors include Grzegorz Malewicz, James C. Dehnert, Grzegorz Czajkowski, Aart J. C. Bik, R. N. Cahn, Jeffrey D. Anderson, Alexander A. Stepanov, Ross A. Towle, Mikkel Thorup and Bjarne Stroustrup. Their work appears in journals such as Physical Review Letters, Software Practice and Experience and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.