Mercè Mach
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Co-authorship network of co-authors of Mercè Mach
This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Mach. A scholar is included among the top collaborators of Mercè Mach 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 Mercè Mach. Mercè Mach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Mercè Mach
14 papers receiving 330 citations
Fields of papers citing papers by Mercè Mach
This network shows the impact of papers produced by Mercè Mach. 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 Mercè Mach. The network helps show where Mercè Mach may publish in the future.
Countries citing papers authored by Mercè Mach
This map shows the geographic impact of Mercè Mach'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 Mercè Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Mach 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.