Kopple Jd
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Co-authorship network of co-authors of Kopple Jd
This figure shows the co-authorship network connecting the top 25 collaborators of Kopple Jd. A scholar is included among the top collaborators of Kopple Jd 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 Kopple Jd. Kopple Jd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Kopple Jd
23 papers receiving 426 citations
Fields of papers citing papers by Kopple Jd
This network shows the impact of papers produced by Kopple Jd. 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 Kopple Jd. The network helps show where Kopple Jd may publish in the future.
Countries citing papers authored by Kopple Jd
This map shows the geographic impact of Kopple Jd'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 Kopple Jd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kopple Jd 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.