Scalable Computing Practice and Experience

937 papers and 3.1k indexed citations

About

The 937 papers published in Scalable Computing Practice and Experience in the last decades have received a total of 3.1k indexed citations. Papers published in Scalable Computing Practice and Experience usually cover Computer Networks and Communications (387 papers), Information Systems (246 papers) and Artificial Intelligence (207 papers) specifically the topics of Distributed and Parallel Computing Systems (140 papers), Cloud Computing and Resource Management (108 papers) and Parallel Computing and Optimization Techniques (92 papers). The most active scholars publishing in Scalable Computing Practice and Experience are Jie Cheng, Elham S. Khorasani, Marcin Paprzycki, Anand Nayyar, Pooja Gupta, R. Sasikala, Eduardo Huedo, Rubén Montero, Dana Petcu and Mario Cannataro.

In The Last Decade

Scalable Computing Practice and Experience

581 papers receiving 2.7k citations

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.

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).

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.

Explore journals with similar magnitude of impact

Rankless by CCL
2026