This map shows the geographic impact of Simon Sinek'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 Simon Sinek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Sinek more than expected).
This network shows the impact of papers produced by Simon Sinek. 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 Simon Sinek. The network helps show where Simon Sinek may publish in the future.
Co-authorship network of co-authors of Simon Sinek
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Sinek.
A scholar is included among the top collaborators of Simon Sinek 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 Simon Sinek. Simon Sinek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Simon Sinek is a scholar working on Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 375 indexed citations. The work is most often cited by research in Organizational Behavior and Human Resource Management (72 citations), Strategy and Management (71 citations) and Management of Technology and Innovation (27 citations). Frequent co-authors include David Mead. Their work appears in journals such as Medical Entomology and Zoology.
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.