Scalable Computing Practice and Experience

4.6k citations
955 papers · · active since 1950

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 92
    • Distributed and Parallel Computing Systems 141
    • IoT and Edge/Fog Computing 72
    • Distributed systems and fault tolerance 47
    • Advanced Data Storage Technologies 46
    • Peer-to-Peer Network Technologies 34

Scalable Computing Practice and Experience

669 papers receiving 3.9k citations

Peers

Scalable Computing Practice and Experience
Comparison fields: 5 of 182
  • Computer Networks and Communications 2.1k
  • Hardware and Architecture 602
  • Information Systems 1.4k
  • Software 164
  • Artificial Intelligence 1.1k
Replace IEEE Annals of the History of Computing with:
IEEE Annals of the History of Computing United States
Programming and Computer Software Russia
Sustainable Computing Informatics and Systems India
JUCS - Journal of Universal Computer Science Spain
International Journal of Computational Science and Engineering China
International Journal of Computers and Applications India
International Journal of Computers Communications & Control China
Computer Science and Information Systems China
Chinese Journal of Computers China
New Generation Computing Japan
Scalable Computing Practice and Experience relative to IEEE Annals of the History of Computing United States IEEE Annals of the History of Computing's profile →
Citations per field
00.5×1.5×2.2×
IEEE Annals of the History of Computing · 1×
Citations per year

Countries where authors publish in Scalable Computing Practice and Experience

Since Specialization
Citations

This map shows the geographic impact of research published in Scalable Computing 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 Scalable Computing 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 Scalable Computing Practice and Experience more than expected).

Fields of papers published in Scalable Computing Practice and Experience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Scalable Computing 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 Scalable Computing Practice and Experience.

About Scalable Computing Practice and Experience

The 955 papers published in Scalable Computing Practice and Experience in the last decades have received a total of 4.6k indexed citations . Papers published in Scalable Computing Practice and Experience usually cover Hardware and Architecture (116 papers), Computer Networks and Communications (391 papers), Business and International Management (29 papers), Information Systems (252 papers) and Artificial Intelligence (210 papers) specifically the topics of Distributed and Parallel Computing Systems (141 papers), Cloud Computing and Resource Management (109 papers), Parallel Computing and Optimization Techniques (92 papers), IoT and Edge/Fog Computing (72 papers), Distributed systems and fault tolerance (47 papers), Advanced Data Storage Technologies (46 papers), Service-Oriented Architecture and Web Services (43 papers) and Peer-to-Peer Network Technologies (34 papers). The most active scholars publishing in Scalable Computing Practice and Experience are Jie Cheng, Elham S. Khorasani, Marcin Paprzycki, Miron Livny, Anand Nayyar, Douglas Thain, Rubén Montero, Eduardo Huedo, Pooja Gupta and Dana Petcu.

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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