Bryan Marker
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 8
- Embedded Systems Design Techniques 3
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
- Co-authors
- Robert A. Geijn (8 shared papers)Jack Poulson (3 shared papers)Nichols A. Romero (1 shared paper)Jeff R. Hammond (1 shared paper)Lawrence K. Cormack (1 shared paper)Christine L. Duvauchelle (1 shared paper)Timothy Schallert (1 shared paper)Don Batory (5 shared papers)
- Journals
- ACM Transactions on Mathematical Software (2 papers)The International Journal of High Performance Computing Applications (1 paper)Concurrency and Computation Practice and Experience (1 paper)Journal of Neuroscience Methods (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Bryan Marker
11 papers receiving 216 citations
Peers
Comparison fields: 5 of 55
- Computational Mathematics 16
- Hardware and Architecture 113
- Computer Networks and Communications 77
- Pharmacy 14
- Computational Theory and Mathematics 50
Countries citing papers authored by Bryan Marker
This map shows the geographic impact of Bryan Marker'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 Bryan Marker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Marker more than expected).
Fields of papers citing papers by Bryan Marker
This network shows the impact of papers produced by Bryan Marker. 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 Bryan Marker. The network helps show where Bryan Marker may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Marker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 115 | |
| 2 | 2016 | 51 | |
| 3 | 2013 | 34 | |
| 4 | 2011 | 8 | |
| 5 | 2013 | 6 | |
| 6 | 2014 | 6 | |
| 7 | 2013 | 5 | |
| 8 | Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors. | 2011 | 3 |
| 9 | 2012 | 3 | |
| 10 | 2008 | 1 | |
| 11 | 2014 | 1 |
About Bryan Marker
Bryan Marker is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Software, having authored 11 papers that have together received 233 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Matrix Theory and Algorithms (3 papers), Cloud Computing and Resource Management (2 papers), Software Testing and Debugging Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Computational Mathematics (16 citations), Hardware and Architecture (113 citations), Computer Networks and Communications (77 citations), Pharmacy (14 citations) and Computational Theory and Mathematics (50 citations). Bryan Marker has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Robert A. Geijn, Jack Poulson, Nichols A. Romero, Jeff R. Hammond, Lawrence K. Cormack, Christine L. Duvauchelle, Timothy Schallert, Don Batory, Francisco D. Igual and Tze Meng Low. Their work appears in journals such as ACM Transactions on Mathematical Software, The International Journal of High Performance Computing Applications, Concurrency and Computation Practice and Experience, Journal of Neuroscience Methods and Procedia Computer Science.
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.