Jan May
About
In The Last Decade
Co-authorship network of co-authors of Jan May
This figure shows the co-authorship network connecting the top 25 collaborators of Jan May. A scholar is included among the top collaborators of Jan May 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 Jan May. Jan May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Jan May
11 papers receiving 341 citations
Fields of papers citing papers by Jan May
This network shows the impact of papers produced by Jan May. 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 Jan May. The network helps show where Jan May may publish in the future.
Countries citing papers authored by Jan May
This map shows the geographic impact of Jan May'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 Jan May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan May more than expected).
Top Papers & Citation Paths
Explore Jan May'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.