Silvia Figueira

1.5k citations
60 papers · 970 indexed · h-index 13
Topics
Distributed and Parallel Computing Systems (19 papers)Parallel Computing and Optimization Techniques (14 papers)Cloud Computing and Resource Management (12 papers)

In The Last Decade

Silvia Figueira

59 papers receiving 886 citations

Peers

Silvia Figueira
Comparison fields: 5 of 80
  • Computer Networks and Communications 768
  • Information Systems 445
  • Hardware and Architecture 409
  • Electrical and Electronic Engineering 118
  • Information Systems and Management 98
Replace Daniel P. Spooner with:
Daniel P. Spooner United Kingdom
Heon Y. Yeom South Korea
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Keith A. Lantz United States
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Silvia Figueira relative to Daniel P. Spooner United Kingdom Daniel P. Spooner's profile →
Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Silvia Figueira

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Figueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Figueira

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Figueira. A scholar is included among the top collaborators of Silvia Figueira 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 Silvia Figueira. Silvia Figueira 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 1
2 1
3 0
4 4
5 15
6
Graphics performance analysis using Amdahl's law
5
7 1
8 3
9 2
10 40
11 1
12 1
13 2
14 1
15
CS_LITE: A lightweight computational steering system.
2
16 286
17
Using a Hypercube Algorithm for Broadcasting in Internet-Based Clusters
1
18 3
19 274
20
Performance analysis of parallel strategies for localized N-body solvers
1

About Silvia Figueira

Silvia Figueira is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 60 papers that have together received 970 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Parallel Computing and Optimization Techniques (14 papers) and Cloud Computing and Resource Management (12 papers). The work is most often cited by research in Hardware and Architecture (409 citations), Computer Networks and Communications (768 citations) and Information Systems (445 citations). Silvia Figueira has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Francine Berman, Jennifer M. Schopf, Rich Wolski, Gary Shao, Holly Dail, Dmitrii Zagorodnov, Walfredo Cirne, Henri Casanova, Graziano Obertelli and Alan Su. Their work appears in journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed 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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