Marcel Arias-Badia
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Co-authorship network of co-authors of Marcel Arias-Badia
This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Arias-Badia. A scholar is included among the top collaborators of Marcel Arias-Badia 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 Marcel Arias-Badia. Marcel Arias-Badia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Marcel Arias-Badia
11 papers receiving 327 citations
Fields of papers citing papers by Marcel Arias-Badia
This network shows the impact of papers produced by Marcel Arias-Badia. 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 Marcel Arias-Badia. The network helps show where Marcel Arias-Badia may publish in the future.
Countries citing papers authored by Marcel Arias-Badia
This map shows the geographic impact of Marcel Arias-Badia'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 Marcel Arias-Badia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Arias-Badia 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.