Origins of fractality in the growth of complex networks
- Journal
- Nature Physics
In The Last Decade
doi.org/10.1038/nphys266 →Countries where authors are citing Origins of fractality in the growth of complex networks
This map shows the geographic impact of Origins of fractality in the growth of complex networks. 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 Origins of fractality in the growth of complex networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Origins of fractality in the growth of complex networks more than expected).
Fields of papers citing Origins of fractality in the growth of complex networks
This network shows the impact of Origins of fractality in the growth of complex networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Origins of fractality in the growth of complex networks.
About Origins of fractality in the growth of complex networks
This paper, published in 2006, received 457 indexed citations . Written by Chaoming Song, Shlomo Havlin and Hernán A. Makse covering the research area of Statistical and Nonlinear Physics and Economics and Econometrics. It is primarily cited by scholars working on Statistical and Nonlinear Physics (350 citations), Molecular Biology (116 citations) and Economics and Econometrics (102 citations). Published in Nature Physics.
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/10.1038/nphys266.