Shamik D. Sharma
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Artificial Intelligence
- Computational Theory and Mathematics
- Information Systems
- Co-authors
- Joel SaltzJames R. LarusShubhendu S. MukherjeeMark D. HillAnne RogersBongki MoonR. PonnusamyRaja Das
- Topics
- Parallel Computing and Optimization Techniques (12 papers)Distributed and Parallel Computing Systems (6 papers)Advanced Data Storage Technologies (5 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Graphics and Computer-Aided Design
- Journals
- ACM SIGPLAN NoticesJournal of Parallel and Distributed ComputingSoftware Practice and Experience
- Partner nations
- United StatesSpain
In The Last Decade
Shamik D. Sharma
14 papers receiving 279 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 263
- Hardware and Architecture 262
- Artificial Intelligence 36
- Computational Theory and Mathematics 29
- Information Systems 28
Countries citing papers authored by Shamik D. Sharma
This map shows the geographic impact of Shamik D. Sharma'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 Shamik D. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shamik D. Sharma more than expected).
Fields of papers citing papers by Shamik D. Sharma
This network shows the impact of papers produced by Shamik D. Sharma. 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 Shamik D. Sharma. The network helps show where Shamik D. Sharma may publish in the future.
Co-authorship network of co-authors of Shamik D. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shamik D. Sharma. A scholar is included among the top collaborators of Shamik D. Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shamik D. Sharma. Shamik D. Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Deferred Data-Flow Analysis : Algorithms, Proofs and Applications | 2 |
| 2 | Deferred Data-Flow Analysis | 2 |
| 3 | Network-aware mobile programs | 8 |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 24 | |
| 7 | 12 | |
| 8 | 49 | |
| 9 | A manual for the CHAOS runtime library | 42 |
| 10 | 14 | |
| 11 | 94 | |
| 12 | 50 | |
| 13 | 3 | |
| 14 | 3 |
About Shamik D. Sharma
Shamik D. Sharma is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 14 papers that have together received 315 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Distributed and Parallel Computing Systems (6 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (262 citations), Computer Networks and Communications (263 citations) and Computer Graphics and Computer-Aided Design (8 citations). Shamik D. Sharma has collaborated with scholars based in United States and Spain. Frequent co-authors include Joel Saltz, Joel Saltz, James R. Larus, Shubhendu S. Mukherjee, Mark D. Hill, Anne Rogers, Bongki Moon, R. Ponnusamy, Raja Das and Yuan‐Shin Hwang. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Parallel and Distributed Computing and Software Practice and Experience.
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.