Concurrency and Computation Practice and Experience

70.6k citations
6.2k papers · · active since 2016

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 1.0k
    • Distributed and Parallel Computing Systems 1.1k
    • Advanced Data Storage Technologies 661
    • IoT and Edge/Fog Computing 483
    • Distributed systems and fault tolerance 378
    • Caching and Content Delivery 295

Concurrency and Computation Practice and Experience

5.7k papers receiving 67.5k citations

Peers

Concurrency and Computation Practice and Experience
Comparison fields: 5 of 235
  • Hardware and Architecture 11.8k
  • Computer Networks and Communications 37.5k
  • Information Systems and Management 8.2k
  • Information Systems 24.9k
  • Artificial Intelligence 15.8k
Replace Journal of Parallel and Distributed Computing with:
Journal of Parallel and Distributed Computing United States
The Journal of Supercomputing China
Cluster Computing China
Software Practice and Experience United States
The Computer Journal United Kingdom
Electronics China
Parallel Computing United States
IBM Journal of Research and Development United States
Proceedings of the VLDB Endowment United States
IEEE Transactions on Parallel and Distributed Systems United States
Concurrency and Computation Practice and Experience relative to Journal of Parallel and Distributed Computing United States Journal of Parallel and Distributed Computing's profile →
Citations per field
00.5×2×3×3.5×
Journal of Parallel and Distributed Computing · 1×
Citations per year

Countries where authors publish in Concurrency and Computation Practice and Experience

Since Specialization
Citations

This map shows the geographic impact of research published in Concurrency and Computation Practice and Experience. 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 papers published in Concurrency and Computation Practice and Experience with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Concurrency and Computation Practice and Experience more than expected).

Fields of papers published in Concurrency and Computation Practice and Experience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Concurrency and Computation Practice and Experience. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Concurrency and Computation Practice and Experience.

About Concurrency and Computation Practice and Experience

The 6.2k papers published in Concurrency and Computation Practice and Experience in the last decades have received a total of 70.6k indexed citations . Papers published in Concurrency and Computation Practice and Experience usually cover Hardware and Architecture (1.1k papers), Computer Networks and Communications (3.2k papers), Information Systems (1.8k papers), Information Systems and Management (439 papers) and Artificial Intelligence (1.7k papers) specifically the topics of Distributed and Parallel Computing Systems (1.1k papers), Parallel Computing and Optimization Techniques (1.0k papers), Cloud Computing and Resource Management (865 papers), Advanced Data Storage Technologies (661 papers), IoT and Edge/Fog Computing (483 papers), Scientific Computing and Data Management (418 papers), Distributed systems and fault tolerance (378 papers) and Caching and Content Delivery (295 papers). The most active scholars publishing in Concurrency and Computation Practice and Experience are Rajkumar Buyya, Anton Beloglazov, Manzur Murshed, Miron Livny, Douglas Thain, Todd Tannenbaum, Jack J. Dongarra, Aytuğ Onan, Samuel Thibault and Pierre‐André Wacrenier.

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.

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