Sasha Ames
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
Papers in
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- Advanced Data Storage Technologies 8
- Distributed and Parallel Computing Systems 4
- Caching and Content Delivery 2
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Maya Gokhale (10 shared papers)Jonathan Allen (3 shared papers)Shea N. Gardner (2 shared papers)Greg Lloyd (2 shared papers)David Hysom (2 shared papers)Roger Pearce (3 shared papers)Brian Van Essen (4 shared papers)Henry H. Hsieh (3 shared papers)
- Journals
- Bioinformatics (1 paper)Eos (1 paper)Genome Research (1 paper)International Journal of Parallel Emergent and Distributed Systems (1 paper)Cluster Computing (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Sasha Ames
14 papers receiving 326 citations
Peers
Comparison fields: 5 of 66
- Hardware and Architecture 67
- Computer Networks and Communications 111
- Information Systems and Management 23
- Information Systems 48
- Clinical Biochemistry 12
Countries citing papers authored by Sasha Ames
This map shows the geographic impact of Sasha Ames'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 Sasha Ames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasha Ames more than expected).
Fields of papers citing papers by Sasha Ames
This network shows the impact of papers produced by Sasha Ames. 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 Sasha Ames. The network helps show where Sasha Ames may publish in the future.
Co-authors
The 25 scholars most cited alongside Sasha Ames, 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 | 144 | |
| 2 | 2012 | 36 | |
| 3 | 2013 | 28 | |
| 4 | 2015 | 25 | |
| 5 | LiFS: An Attribute-Rich File System for Storage Class Memories | 2006 | 22 |
| 6 | 2018 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2007 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2017 | 6 | |
| 11 | 2014 | 3 | |
| 12 | On the role of NVRAM in data intensive HPC architectures | 2011 | 3 |
| 13 | 2011 | 3 | |
| 14 | DI-MMAP: A High Performance Memory-Map Runtime providing scalable out-of-core execution for Data-Intensive Applications | 2013 | 1 |
About Sasha Ames
Sasha Ames is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Management Science and Operations Research and Atmospheric Science, having authored 14 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (8 papers), Parallel Computing and Optimization Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), Genomics and Phylogenetic Studies (3 papers), Data Quality and Management (2 papers), Meteorological Phenomena and Simulations (2 papers), Caching and Content Delivery (2 papers) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (67 citations), Computer Networks and Communications (111 citations), Information Systems and Management (23 citations), Information Systems (48 citations) and Clinical Biochemistry (12 citations). Sasha Ames has collaborated with scholars based in United States and Spain. Frequent co-authors include Maya Gokhale, Jonathan Allen, Shea N. Gardner, Greg Lloyd, David Hysom, Roger Pearce, Brian Van Essen, Henry H. Hsieh, Carlos Maltzahn and Brian C. Van Essen. Their work appears in journals such as Bioinformatics, Eos, Genome Research, International Journal of Parallel Emergent and Distributed Systems and Cluster Computing.
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.