Costas Bekas

3.1k citations
44 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Matrix Theory and Algorithms (14 papers)Parallel Computing and Optimization Techniques (13 papers)Advanced Data Storage Technologies (5 papers)

In The Last Decade

Costas Bekas

40 papers receiving 1.4k citations

Hit Papers

Mixed-precision in-memory computing20182026202020232018100200300

Peers

Costas Bekas
Comparison fields: 5 of 104
  • Computational Theory and Mathematics 579
  • Materials Chemistry 463
  • Electrical and Electronic Engineering 403
  • Artificial Intelligence 283
  • Molecular Biology 240
Replace Wim H. Hesselink with:
Wim H. Hesselink Netherlands
Michael Mascagni United States
Bruno Lang Germany
Travis S. Humble United States
James McKee United Kingdom
Helmut G. Katzgraber United States
Xiao Yuan China
Nathan Killoran United Kingdom
Peter L. McMahon United States
W. E. Donath United States
Costas Bekas relative to Wim H. Hesselink Netherlands Wim H. Hesselink's profile →
Citations per field
00.5×10.8×
Wim H. Hesselink · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 8
3 0
4 8
5
Incremental Training of Deep Convolutional Neural Networks
10
6 12
7 3
8 4
9 8
10 80
11 1
12 6
13 10
14 17
15 14
16 37
17 8
18 5
19 102
20 45

About Costas Bekas

Costas Bekas is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (579 citations), Hardware and Architecture (130 citations) and Numerical Analysis (56 citations). Costas Bekas has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Teodoro Laino, Philippe Schwaller, Alessandro Curioni, Dávid Lányi, Effrosyni Kokiopoulou, Théophile Gaudin, Yousef Saad, Heiner Giefers, Manuel Le Gallo and Evangelos Eleftheriou. Their work appears in journals such as Chemical Science, Computer Physics Communications and Future Generation Computer Systems.

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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