Arup De
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Advanced Data Storage Technologies 7
- Caching and Content Delivery 4
- Distributed and Parallel Computing Systems 1
- Peer-to-Peer Network Technologies 1
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- Parallel Computing and Optimization Techniques 6
- Co-authors
- Steven Swanson (7 shared papers)Joel Coburn (5 shared papers)Adrian M. Caulfield (5 shared papers)Rajesh K. Gupta (3 shared papers)Todor I. Mollov (4 shared papers)Yang Liu (1 shared paper)Allan Snavely (1 shared paper)Ameen Akel (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)ACM SIGARCH Computer Architecture News (1 paper)Operating Systems Design and Implementation (1 paper)
- Partner nations
- United States
In The Last Decade
Arup De
7 papers receiving 580 citations
Peers
Comparison fields: 5 of 28
- Hardware and Architecture 463
- Computer Networks and Communications 566
- Information Systems 163
- Electrical and Electronic Engineering 81
- Computer Vision and Pattern Recognition 17
Countries citing papers authored by Arup De
This map shows the geographic impact of Arup De'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 Arup De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arup De more than expected).
Fields of papers citing papers by Arup De
This network shows the impact of papers produced by Arup De. 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 Arup De. The network helps show where Arup De may publish in the future.
Co-authors
The 11 scholars most cited alongside Arup De, 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 | 2010 | 226 | |
| 2 | 2012 | 117 | |
| 3 | 2010 | 105 | |
| 4 | 2014 | 91 | |
| 5 | 2013 | 41 | |
| 6 | 2012 | 13 | |
| 7 | 2012 | 8 |
About Arup De
Arup De is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Parallel Computing and Optimization Techniques (6 papers), Caching and Content Delivery (4 papers), Cloud Computing and Resource Management (2 papers), Distributed and Parallel Computing Systems (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (463 citations), Computer Networks and Communications (566 citations), Information Systems (163 citations), Electrical and Electronic Engineering (81 citations) and Computer Vision and Pattern Recognition (17 citations). Arup De has collaborated with scholars based in United States. Frequent co-authors include Steven Swanson, Joel Coburn, Adrian M. Caulfield, Rajesh K. Gupta, Todor I. Mollov, Yang Liu, Allan Snavely, Ameen Akel, Jiahua He and Yanqin Jin. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGARCH Computer Architecture News and Operating Systems Design and Implementation.
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.