Scalable Computing Practice and Experience

5.7k citations
1.0k papers · · active since 1950

Impact in

Papers in

    • Parallel Computing and Optimization Techniques 98
    • Distributed and Parallel Computing Systems 150
    • IoT and Edge/Fog Computing 72
    • Distributed systems and fault tolerance 49
    • Advanced Data Storage Technologies 47
    • Network Security and Intrusion Detection 36

Scalable Computing Practice and Experience

734 papers receiving 4.8k citations

Peers

Scalable Computing Practice and Experience
Comparison fields: 5 of 188
  • Computer Networks and Communications 2.6k
  • Hardware and Architecture 741
  • Information Systems 1.7k
  • Software 208
  • Artificial Intelligence 1.4k
Replace IEEE Annals of the History of Computing with:
IEEE Annals of the History of Computing United States
Sustainable Computing Informatics and Systems India
Chinese Journal of Computers China
Programming and Computer Software Russia
JUCS - Journal of Universal Computer Science Spain
International Journal of Computational Science and Engineering China
Computer Science and Information Systems China
Information Technology And Control Lithuania
International Journal of Computers and Applications India
Bell Labs Technical Journal United States
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
00.5×1.5×2.1×
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 1.0k papers published in Scalable Computing Practice and Experience in the last decades have received a total of 5.7k indexed citations . Papers published in Scalable Computing Practice and Experience usually cover Hardware and Architecture (124 papers), Computer Networks and Communications (409 papers), Business and International Management (29 papers), Information Systems (261 papers) and Computer Graphics and Computer-Aided Design (26 papers) specifically the topics of Distributed and Parallel Computing Systems (150 papers), Cloud Computing and Resource Management (111 papers), Parallel Computing and Optimization Techniques (98 papers), IoT and Edge/Fog Computing (72 papers), Distributed systems and fault tolerance (49 papers), Advanced Data Storage Technologies (47 papers), Service-Oriented Architecture and Web Services (45 papers) and Network Security and Intrusion Detection (36 papers). The most active scholars publishing in Scalable Computing Practice and Experience are Jie Cheng, Elham S. Khorasani, Marcin Paprzycki, Anand Nayyar, Miron Livny, Pooja Gupta, Douglas Thain, Eduardo Huedo, Rubén Montero and Mario Cannataro.

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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