Costas Bekas

3.1k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Costas Bekas is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Costas Bekas has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 13 papers in Hardware and Architecture and 11 papers in Artificial Intelligence. Recurrent topics in Costas Bekas's work include Matrix Theory and Algorithms (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Data Storage Technologies (5 papers). Costas Bekas is often cited by papers focused on Matrix Theory and Algorithms (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Data Storage Technologies (5 papers). Costas Bekas collaborates with scholars based in Switzerland, United States and Greece. Costas Bekas's co-authors include Teodoro Laino, Philippe Schwaller, Alessandro Curioni, Dávid Lányi, Effrosyni Kokiopoulou, Théophile Gaudin, Yousef Saad, Heiner Giefers, Evangelos Eleftheriou and Tomáš Tůma and has published in prestigious journals such as Chemical Science, Computer Physics Communications and Future Generation Computer Systems.

In The Last Decade

Costas Bekas

40 papers receiving 1.4k citations

Hit Papers

Mixed-precision in-memory... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Costas Bekas Switzerland 13 579 463 403 283 240 44 1.5k
Michael Mascagni United States 21 235 0.4× 78 0.2× 149 0.4× 242 0.9× 141 0.6× 79 1.2k
Kosuke Tatsumura Japan 15 117 0.2× 246 0.5× 447 1.1× 421 1.5× 38 0.2× 48 1.0k
Helmut G. Katzgraber United States 29 483 0.8× 473 1.0× 237 0.6× 1.4k 5.0× 86 0.4× 149 3.5k
Jiřı́ Adámek Czechia 24 1.3k 2.3× 310 0.7× 382 0.9× 1.1k 4.0× 37 0.2× 252 3.3k
Daisuke Takahashi Japan 24 149 0.3× 227 0.5× 976 2.4× 145 0.5× 88 0.4× 137 2.2k
Bruno Lang Germany 17 450 0.8× 173 0.4× 141 0.3× 141 0.5× 17 0.1× 95 1.2k
W. O. J. Moser Canada 14 582 1.0× 170 0.4× 421 1.0× 300 1.1× 63 0.3× 32 2.5k
D. Wood Canada 17 352 0.6× 54 0.1× 94 0.2× 354 1.3× 172 0.7× 88 1000
Lin Teng China 25 713 1.2× 159 0.3× 168 0.4× 487 1.7× 606 2.5× 90 2.8k
G. C. Shephard United Kingdom 25 533 0.9× 284 0.6× 288 0.7× 151 0.5× 86 0.4× 112 2.9k

Countries citing papers authored by Costas Bekas

Since Specialization
Citations

This map shows the geographic impact of Costas Bekas'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 Costas Bekas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Costas Bekas more than expected).

Fields of papers citing papers by Costas Bekas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Costas Bekas. 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 Costas Bekas. The network helps show where Costas Bekas may publish in the future.

Co-authorship network of co-authors of Costas Bekas

This figure shows the co-authorship network connecting the top 25 collaborators of Costas Bekas. A scholar is included among the top collaborators of Costas Bekas 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 Costas Bekas. Costas Bekas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hadjidoukas, Panagiotis, et al.. (2020). torcpy: supporting task parallelism in Python. Zenodo (CERN European Organization for Nuclear Research).
3.
Adelmann, Andreas, et al.. (2019). Parallel general purpose multiobjective optimization framework with application to electron beam dynamics. Physical Review Accelerators and Beams. 22(5). 11 indexed citations
4.
Malossi, A. Cristiano I., et al.. (2018). A scalable iterative dense linear system solver for multiple right-hand sides in data analytics. Parallel Computing. 74. 136–153. 8 indexed citations
5.
Istrate, Roxana, A. Cristiano I. Malossi, Costas Bekas, & Dimitrios S. Nikolopoulos. (2017). Incremental Training of Deep Convolutional Neural Networks. 41–48. 10 indexed citations
6.
Giefers, Heiner, Peter Staar, Costas Bekas, & Christoph Hagleitner. (2016). Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA. 46–56. 12 indexed citations
7.
Georgakoudis, Giorgis, Charles J. Gillan, Ivor Spence, et al.. (2016). NanoStreams: Codesigned microservers for edge analytics in real time. Research Portal (Queen's University Belfast). 180–187. 3 indexed citations
8.
Bekas, Costas, et al.. (2016). Changing Computing Paradigms Towards Power Efficiency. 8 indexed citations
9.
Angerer, Christoph, et al.. (2015). A fast, hybrid, power-efficient high-precision solver for large linear systems based on low-precision hardware. Sustainable Computing Informatics and Systems. 12. 72–82. 8 indexed citations
10.
Bekas, Costas, et al.. (2015). Heuristic Algorithm for Approximation Betweenness Centrality Using Graph Coarsening. Procedia Computer Science. 66. 83–92. 6 indexed citations
11.
Malossi, A. Cristiano I., et al.. (2015). Systematic derivation of time and power models for linear algebra kernels on multicore architectures. Sustainable Computing Informatics and Systems. 7. 24–40. 1 indexed citations
12.
Malossi, A. Cristiano I., et al.. (2014). Performance and Energy-Aware Characterization of the Sparse Matrix-Vector Multiplication on Multithreaded Architectures. 25. 139–148. 10 indexed citations
13.
Bekas, Costas, et al.. (2013). Accelerating data uncertainty quantification by solving linear systems with multiple right-hand sides. Numerical Algorithms. 62(4). 637–653. 17 indexed citations
14.
Rossinelli, Diego, Babak Hejazialhosseini, Panagiotis Hadjidoukas, et al.. (2013). 11 PFLOP/s simulations of cloud cavitation collapse. 1–13. 52 indexed citations
15.
Bekas, Costas, A. Curioni, & Irina Fedulova. (2011). Low‐cost data uncertainty quantification. Concurrency and Computation Practice and Experience. 24(8). 908–920. 14 indexed citations
16.
Bekas, Costas & Alessandro Curioni. (2010). A new energy aware performance metric. Computer Science - Research and Development. 25(3-4). 187–195. 37 indexed citations
17.
Bekas, Costas & A. Curioni. (2010). Very large scale wavefunction orthogonalization in Density Functional Theory electronic structure calculations. Computer Physics Communications. 181(6). 1057–1068. 8 indexed citations
18.
Bekas, Costas, Effrosyni Kokiopoulou, & Yousef Saad. (2008). Computation of Large Invariant Subspaces Using Polynomial Filtered Lanczos Iterations with Applications in Density Functional Theory. SIAM Journal on Matrix Analysis and Applications. 30(1). 397–418. 23 indexed citations
19.
Bekas, Costas, Effrosyni Kokiopoulou, & Yousef Saad. (2007). An estimator for the diagonal of a matrix. Applied Numerical Mathematics. 57(11-12). 1214–1229. 102 indexed citations
20.
Kokiopoulou, Effrosyni, Costas Bekas, & Efstratios Gallopoulos. (2004). Computing smallest singular triplets with implicitly restarted Lanczos bidiagonalization. Applied Numerical Mathematics. 49(1). 39–61. 45 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.

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