Citations per field, relative to Benjamin Gomes-Casseres
Benjamin Gomes-Casseres · 1×
×1.01.5kSM
×1.4974ACCOU
×1.2508EE
×1.0271GEEF
×1.3310OBHRM
Citations per year, relative to Benjamin Gomes-Casseres
Benjamin Gomes-Casseres · 1×
2016
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Countries citing papers authored by Benjamin Gomes-Casseres
Since
Specialization
Citations
This map shows the geographic impact of Benjamin Gomes-Casseres'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 Benjamin Gomes-Casseres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Gomes-Casseres more than expected).
Fields of papers citing papers by Benjamin Gomes-Casseres
This network shows the impact of papers produced by Benjamin Gomes-Casseres. 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 Benjamin Gomes-Casseres. The network helps show where Benjamin Gomes-Casseres may publish in the future.
Co-authorship network of co-authors of Benjamin Gomes-Casseres
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Gomes-Casseres.
A scholar is included among the top collaborators of Benjamin Gomes-Casseres 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 Benjamin Gomes-Casseres. Benjamin Gomes-Casseres is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.