Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A fast algorithm for matrix balancing
2012273 citationsPhilip A. Knight, Daniel RuizIMA Journal of Numerical Analysisprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Daniel Ruiz'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 Daniel Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ruiz more than expected).
This network shows the impact of papers produced by Daniel Ruiz. 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 Daniel Ruiz. The network helps show where Daniel Ruiz may publish in the future.
Co-authorship network of co-authors of Daniel Ruiz
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ruiz.
A scholar is included among the top collaborators of Daniel Ruiz 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 Daniel Ruiz. Daniel Ruiz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ruiz, Daniel, et al.. (2018). The HPCG benchmark: analysis, shared memory preliminary improvements and evaluation on an Arm-based platform. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1–15.6 indexed citations
10.
Ruiz, Daniel, et al.. (2017). Is Arm software ecosystem ready for HPC. IEEE International Conference on High Performance Computing, Data, and Analytics.4 indexed citations
11.
Ruiz, Daniel, et al.. (2015). Another Trip to the Wall. Chalmers Research (Chalmers University of Technology). 31–36.32 indexed citations
Knight, Philip A. & Daniel Ruiz. (2012). A fast algorithm for matrix balancing. IMA Journal of Numerical Analysis. 33(3). 1029–1047.273 indexed citations breakdown →
14.
Ruiz, Daniel, et al.. (2008). MUMPS based approach to parallelize the block cimmino algorithm. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).1 indexed citations
15.
Ruiz, Daniel. (2001). A Scaling Algorithm to Equilibrate Both Rows and Columns Norms in Matrices 1. CERN Document Server (European Organization for Nuclear Research).40 indexed citations
16.
Arioli, Mario, et al.. (1995). A Parallel Scheduler for Block Iterative Solvers in Heterogeneous Computing Environments.. PPSC. 460–465.2 indexed citations
Arioli, Mario, Iain Duff, Daniel Ruiz, & Miloud Sadkane. (1991). Techniques for Accelerating the Block Cimmino Method. 98–104.2 indexed 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.