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