Run Long
About
In The Last Decade
Co-authorship network of co-authors of Run Long
This figure shows the co-authorship network connecting the top 25 collaborators of Run Long. A scholar is included among the top collaborators of Run Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Run Long. Run Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Run Long
254 papers receiving 10.8k citations
Fields of papers citing papers by Run Long
This network shows the impact of papers produced by Run Long. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Run Long. The network helps show where Run Long may publish in the future.
Countries citing papers authored by Run Long
This map shows the geographic impact of Run Long's research. 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 Run Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Long more than expected).
Top Papers & Citation Paths
Explore Run Long's most cited publications and discover how their work connects to other scholars through 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.