IEEE Concurrency Template
Write in a clean editor, then format for IEEE Concurrency in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the IEEE Concurrency format
IEEE Concurrency is a peer-reviewed journal published by IEEE, covering Distributed and Parallel Computing Systems, Parallel Computing and Optimization Techniques, Distributed systems and fault tolerance.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Concurrency, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Concurrency style. No sign-up. |
| Publishes research in | Distributed and Parallel Computing Systems Parallel Computing and Optimization Techniques Distributed systems and fault tolerance Cloud Computing and Resource Management Advanced Data Storage Technologies |
| ISSN | 1092-3063 |
| h-index | 36 |
| i10-index | 88 |
| Total citations | 5,997 |
| Top institutions publishing here | Hewlett-Packard (United States) |
| Journal website | books.google.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Concurrency per year
Citation impact of IEEE Concurrency by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE Concurrency
The author surveys the state of the art in parallel and distributed association-rule-mining algorithms and uncovers the field's challenges and open research problems. This survey can serve as a reference for both researchers and practitioners.
A distributed system comprising networked heterogeneous processors requires efficient task-to-processor assignment to achieve fast turnaround time. Although reasonable heuristics exist to address optimal processor assignment for small problems, larger problems require better algorithms. The authors describe two new algorithms based on the A* technique which are considerably faster, are more memory-efficient, and give optimal solutions.…
The authors present an object-based framework for developing wide-area distributed applications. The World Wide Web's current performance problems illustrate the benefit of encapsulating state, operations, and implementation strategies on a per-object basis. The authors describe how distributed objects can implement worldwide scalable Web documents.