Scientific Cloud Computing: Early Definition and Experience
Impact in
Classified as
In The Last Decade
doi.org/10.1109/hpcc.2008.38 →Countries where authors are citing Scientific Cloud Computing: Early Definition and Experience
This map shows the geographic impact of Scientific Cloud Computing: Early Definition 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 Scientific Cloud Computing: Early Definition 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 Scientific Cloud Computing: Early Definition and Experience more than expected).
Fields of papers citing Scientific Cloud Computing: Early Definition and Experience
This network shows the impact of Scientific Cloud Computing: Early Definition 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 Scientific Cloud Computing: Early Definition and Experience.
About Scientific Cloud Computing: Early Definition and Experience
This paper, published in 2008, received 397 indexed citations . Written by Lizhe Wang, Jie Tao, M. Kunze, David Kramer and Wolfgang Karl covering the research area of Computer Networks and Communications, Information Systems and Information Systems and Management. It is primarily cited by scholars working on Information Systems (330 citations), Computer Networks and Communications (253 citations), Information Systems and Management (61 citations), Artificial Intelligence (55 citations) and Hardware and Architecture (35 citations).
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.
This paper is also available at doi.org/10.1109/hpcc.2008.38.