Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
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doi.org/10.1561/1900000004 →Countries where authors are citing Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
This map shows the geographic impact of Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. 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 Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches more than expected).
Fields of papers citing Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
This network shows the impact of Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches.
About Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
This paper, published in 2011, received 304 indexed citations . Written by Graham Cormode, Minos Garofalakis, Peter J. Haas and Chris Jermaine covering the research area of Signal Processing, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (206 citations), Signal Processing (171 citations) and Artificial Intelligence (153 citations).
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/10.1561/1900000004.