James Cipar
Impact in
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 11
- Caching and Content Delivery 6
- Peer-to-Peer Network Technologies 3
- Distributed and Parallel Computing Systems 3
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Gregory R. Ganger (10 shared papers)Seunghak Lee (3 shared papers)Garth A. Gibson (5 shared papers)Qirong Ho (3 shared papers)Henggang Cui (2 shared papers)Phillip B. Gibbons (2 shared papers)Michael A. Kozuch (5 shared papers)Eric P. Xing (2 shared papers)
- Journals
- ACM Transactions on Storage (3 papers)File and Storage Technologies (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (2 papers)KiltHub Repository (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
James Cipar
13 papers receiving 781 citations
James Cipar's Hit Papers
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 478
- Hardware and Architecture 137
- Information Systems 350
- Artificial Intelligence 370
- Computer Vision and Pattern Recognition 224
Countries citing papers authored by James Cipar
This map shows the geographic impact of James Cipar'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 James Cipar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Cipar more than expected).
Fields of papers citing papers by James Cipar
This network shows the impact of papers produced by James Cipar. 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 James Cipar. The network helps show where James Cipar may publish in the future.
Co-authors
The 25 scholars most cited alongside James Cipar, 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 | More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server Hit paper breakdown → | 2013 | 369 |
| 2 | 2010 | 154 | |
| 3 | 2018 | 60 | |
| 4 | 2012 | 50 | |
| 5 | 2009 | 48 | |
| 6 | 2012 | 44 | |
| 7 | 2018 | 34 | |
| 8 | 2014 | 21 | |
| 9 | TFS: a transparent file system for contributory storage | 2007 | 12 |
| 10 | 2014 | 9 | |
| 11 | Transparent contribution of memory | 2006 | 8 |
| 12 | 2012 | 2 | |
| 13 | 2007 | 2 | |
| 14 | 2021 | 0 |
About James Cipar
James Cipar is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 813 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (11 papers), Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (6 papers), Peer-to-Peer Network Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Algorithms and Data Compression (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (478 citations), Hardware and Architecture (137 citations), Information Systems (350 citations), Artificial Intelligence (370 citations) and Computer Vision and Pattern Recognition (224 citations). James Cipar has collaborated with scholars based in United States. Frequent co-authors include Gregory R. Ganger, Seunghak Lee, Garth A. Gibson, Qirong Ho, Henggang Cui, Phillip B. Gibbons, Michael A. Kozuch, Eric P. Xing, Jin Kyu Kim and Karsten Schwan. Their work appears in journals such as ACM Transactions on Storage, File and Storage Technologies, ScholarWorks@UMassAmherst (University of Massachusetts Amherst), KiltHub Repository and PubMed.
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.