Roberto Rojas‐Cessa
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Co-authorship network of co-authors of Roberto Rojas‐Cessa
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Rojas‐Cessa. A scholar is included among the top collaborators of Roberto Rojas‐Cessa 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 Roberto Rojas‐Cessa. Roberto Rojas‐Cessa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Roberto Rojas‐Cessa
66 papers receiving 876 citations
Fields of papers citing papers by Roberto Rojas‐Cessa
This network shows the impact of papers produced by Roberto Rojas‐Cessa. 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 Roberto Rojas‐Cessa. The network helps show where Roberto Rojas‐Cessa may publish in the future.
Countries citing papers authored by Roberto Rojas‐Cessa
This map shows the geographic impact of Roberto Rojas‐Cessa'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 Roberto Rojas‐Cessa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Rojas‐Cessa 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.