SLEP: Sparse Learning with Efficient Projections
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doi.org/w14482080 →Countries where authors are citing SLEP: Sparse Learning with Efficient Projections
This map shows the geographic impact of SLEP: Sparse Learning with Efficient Projections. 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 SLEP: Sparse Learning with Efficient Projections with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SLEP: Sparse Learning with Efficient Projections more than expected).
Fields of papers citing SLEP: Sparse Learning with Efficient Projections
This network shows the impact of SLEP: Sparse Learning with Efficient Projections. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the SLEP: Sparse Learning with Efficient Projections.
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.
This paper is also available at doi.org/w14482080.