Multilevelk-way Partitioning Scheme for Irregular Graphs
Impact in
Classified as
- Authors
- George KarypisVipin Kumar
In The Last Decade
doi.org/10.1006/jpdc.1997.1404 →Countries where authors are citing Multilevelk-way Partitioning Scheme for Irregular Graphs
This map shows the geographic impact of Multilevelk-way Partitioning Scheme for Irregular Graphs. 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 Multilevelk-way Partitioning Scheme for Irregular Graphs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multilevelk-way Partitioning Scheme for Irregular Graphs more than expected).
Fields of papers citing Multilevelk-way Partitioning Scheme for Irregular Graphs
This network shows the impact of Multilevelk-way Partitioning Scheme for Irregular Graphs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multilevelk-way Partitioning Scheme for Irregular Graphs.
About Multilevelk-way Partitioning Scheme for Irregular Graphs
This paper, published in 1998, received 1.3k indexed citations . Written by George Karypis and Vipin Kumar covering the research area of Computer Networks and Communications and Electrical and Electronic Engineering. It is primarily cited by scholars working on Computer Networks and Communications (444 citations), Electrical and Electronic Engineering (323 citations), Computational Mechanics (259 citations), Hardware and Architecture (244 citations) and Artificial Intelligence (242 citations). Published in Journal of Parallel and Distributed Computing.
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/10.1006/jpdc.1997.1404.