{SNAP Datasets}: {Stanford} Large Network Dataset Collection
- Authors
- Jure LeskovecAndrej Krevl
In The Last Decade
doi.org/w53543157 →Countries where authors are citing {SNAP Datasets}: {Stanford} Large Network Dataset Collection
This map shows the geographic impact of {SNAP Datasets}: {Stanford} Large Network Dataset Collection. 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 {SNAP Datasets}: {Stanford} Large Network Dataset Collection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites {SNAP Datasets}: {Stanford} Large Network Dataset Collection more than expected).
Fields of papers citing {SNAP Datasets}: {Stanford} Large Network Dataset Collection
This network shows the impact of {SNAP Datasets}: {Stanford} Large Network Dataset Collection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the {SNAP Datasets}: {Stanford} Large Network Dataset Collection.
About {SNAP Datasets}: {Stanford} Large Network Dataset Collection
This paper, published in 2014, received 1.8k indexed citations . Written by Jure Leskovec and Andrej Krevl covering the research area of Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. It is primarily cited by scholars working on Statistical and Nonlinear Physics (947 citations), Artificial Intelligence (764 citations) and Computer Networks and Communications (573 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/w53543157.