Discrete temporal models of social networks
- Journal
- Electronic Journal of Statistics
In The Last Decade
doi.org/10.1214/09-ejs548 →Countries where authors are citing Discrete temporal models of social networks
This map shows the geographic impact of Discrete temporal models of social 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 Discrete temporal models of social networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Discrete temporal models of social networks more than expected).
Fields of papers citing Discrete temporal models of social networks
This network shows the impact of Discrete temporal models of social networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Discrete temporal models of social networks.
About Discrete temporal models of social networks
This paper, published in 2010, received 326 indexed citations . Written by Steve Hanneke, Wenjie Fu and Eric P. Xing covering the research area of Statistical and Nonlinear Physics and Mathematical Physics. It is primarily cited by scholars working on Statistical and Nonlinear Physics (198 citations), Sociology and Political Science (69 citations) and Economics and Econometrics (55 citations). Published in Electronic Journal of Statistics.
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/10.1214/09-ejs548.