Einhard Schwarzmann
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Co-authorship network of co-authors of Einhard Schwarzmann
This figure shows the co-authorship network connecting the top 25 collaborators of Einhard Schwarzmann. A scholar is included among the top collaborators of Einhard Schwarzmann 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 Einhard Schwarzmann. Einhard Schwarzmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Einhard Schwarzmann
74 papers receiving 617 citations
Fields of papers citing papers by Einhard Schwarzmann
This network shows the impact of papers produced by Einhard Schwarzmann. 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 Einhard Schwarzmann. The network helps show where Einhard Schwarzmann may publish in the future.
Countries citing papers authored by Einhard Schwarzmann
This map shows the geographic impact of Einhard Schwarzmann'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 Einhard Schwarzmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einhard Schwarzmann 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.