Teresa Pardo-Moreno
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Co-authorship network of co-authors of Teresa Pardo-Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of Teresa Pardo-Moreno. A scholar is included among the top collaborators of Teresa Pardo-Moreno 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 Teresa Pardo-Moreno. Teresa Pardo-Moreno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Teresa Pardo-Moreno
7 papers receiving 229 citations
Fields of papers citing papers by Teresa Pardo-Moreno
This network shows the impact of papers produced by Teresa Pardo-Moreno. 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 Teresa Pardo-Moreno. The network helps show where Teresa Pardo-Moreno may publish in the future.
Countries citing papers authored by Teresa Pardo-Moreno
This map shows the geographic impact of Teresa Pardo-Moreno'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 Teresa Pardo-Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa Pardo-Moreno 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.