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.
SVD based initialization: A head start for nonnegative matrix factorization
2007451 citationsEfstratios Gallopoulos et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Efstratios Gallopoulos
Since
Specialization
Citations
This map shows the geographic impact of Efstratios Gallopoulos'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 Efstratios Gallopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efstratios Gallopoulos more than expected).
Fields of papers citing papers by Efstratios Gallopoulos
This network shows the impact of papers produced by Efstratios Gallopoulos. 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 Efstratios Gallopoulos. The network helps show where Efstratios Gallopoulos may publish in the future.
Co-authorship network of co-authors of Efstratios Gallopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Efstratios Gallopoulos.
A scholar is included among the top collaborators of Efstratios Gallopoulos 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 Efstratios Gallopoulos. Efstratios Gallopoulos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kollias, Giorgos, Efstratios Gallopoulos, & Ananth Grama. (2013). Surfing the Network for Ranking by Multidamping. IEEE Transactions on Knowledge and Data Engineering. 26(9). 2323–2336.6 indexed citations
Gallopoulos, Efstratios, A. Hadjidimos, Ilias Kotsireas, D. Noutsos, & Michael N. Vrahatis. (2008). Preface. Journal of Computational and Applied Mathematics. 227(1). 1–4.4 indexed citations
Simoncini, Valeria & Efstratios Gallopoulos. (1998). TRANSFER FUNCTIONS AND RESOLVENT NORM APPROXIMATION OF LARGE MATRICES. 7. 190–201.12 indexed citations
Simoncini, Valeria & Efstratios Gallopoulos. (1993). Iterative Methods for Complex Symmetric Systems With Multiple Right-Hand Sides.4 indexed citations
13.
Calvetti, Daniela, Efstratios Gallopoulos, & Lothar Reichel. (1993). Accuracy Control for Parallel Evaluation of Matrix Rational Functions.. PPSC. 652–655.1 indexed citations
14.
Gallopoulos, Efstratios & Yousef Saad. (1992). Efficient Solution Of Parabolic Equations By Krylov Approximation Methods.4 indexed citations
15.
DeRose, Luiz, Kyle A. Gallivan, Efstratios Gallopoulos, & Antonio Navarra. (1991). Parallel Ocean Circulation Modeling on Cedar. 401–405.3 indexed citations
Gallopoulos, Efstratios, et al.. (1987). Fast Laplace Solver by Boundary Integral Based Domain Decomposition Methods. 141–145.2 indexed citations
20.
Gallopoulos, Efstratios, et al.. (1983). Numerical Experiments with the Massively parallel Processor.. Proceedings of the International Conference on Parallel Processing. 29–35.3 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.