Sudarsono Sudarsono
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Co-authorship network of co-authors of Sudarsono Sudarsono
This figure shows the co-authorship network connecting the top 25 collaborators of Sudarsono Sudarsono. A scholar is included among the top collaborators of Sudarsono Sudarsono 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 Sudarsono Sudarsono. Sudarsono Sudarsono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Sudarsono Sudarsono
36 papers receiving 114 citations
Fields of papers citing papers by Sudarsono Sudarsono
This network shows the impact of papers produced by Sudarsono Sudarsono. 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 Sudarsono Sudarsono. The network helps show where Sudarsono Sudarsono may publish in the future.
Countries citing papers authored by Sudarsono Sudarsono
This map shows the geographic impact of Sudarsono Sudarsono'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 Sudarsono Sudarsono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudarsono Sudarsono 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.