Dhruba Chandra
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Real-Time Systems Scheduling
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
Papers in
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- Parallel Computing and Optimization Techniques 3
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- Interconnection Networks and Systems 3
- Advanced Data Storage Technologies 2
- Co-authors
- Seongbeom Kim (3 shared papers)Yan Solihin (3 shared papers)Fei Guo (1 shared paper)Paul D. Franzon (3 shared papers)
- Journals
- International Conference on Parallel Architectures and Compilation Techniques (1 paper)
- Partner nations
- United States
In The Last Decade
Dhruba Chandra
6 papers receiving 821 citations
Dhruba Chandra's Hit Papers
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 796
- Computer Networks and Communications 794
- Information Systems 327
- Signal Processing 23
- Electrical and Electronic Engineering 78
Countries citing papers authored by Dhruba Chandra
This map shows the geographic impact of Dhruba Chandra'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 Dhruba Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhruba Chandra more than expected).
Fields of papers citing papers by Dhruba Chandra
This network shows the impact of papers produced by Dhruba Chandra. 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 Dhruba Chandra. The network helps show where Dhruba Chandra may publish in the future.
Co-authors
The 4 scholars most cited alongside Dhruba Chandra, 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 | Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture Hit paper breakdown → | 2005 | 384 |
| 2 | Fair Cache Sharing and Partitioning in a Chip Multiprocessor Architecture Hit paper breakdown → | 2004 | 371 |
| 3 | 2004 | 100 | |
| 4 | 2007 | 13 | |
| 5 | 2006 | 7 | |
| 6 | 2006 | 7 | |
| 7 | Speech recognition co-processor | 2007 | 0 |
About Dhruba Chandra
Dhruba Chandra is a scholar working on Hardware and Architecture, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 882 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Interconnection Networks and Systems (3 papers), Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (2 papers), Advanced Data Storage Technologies (2 papers), Speech and dialogue systems (2 papers), Natural Language Processing Techniques (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (796 citations), Computer Networks and Communications (794 citations), Information Systems (327 citations), Signal Processing (23 citations) and Electrical and Electronic Engineering (78 citations). Dhruba Chandra has collaborated with scholars based in United States. Frequent co-authors include Seongbeom Kim, Yan Solihin, Fei Guo and Paul D. Franzon. Their work appears in journals such as International Conference on Parallel Architectures and Compilation Techniques.
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.