Marı́a S. Pérez

1.6k citations
61 papers · 665 indexed · h-index 15

Marı́a S. Pérez

57 papers receiving 634 citations

Peers

Marı́a S. Pérez
Comparison fields: 5 of 69
  • Computer Networks and Communications 370
  • Information Systems 312
  • Information Systems and Management 87
  • Artificial Intelligence 198
  • Hardware and Architecture 32
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Víctor Muntés-Mulero Spain
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Citations per year

Countries citing papers authored by Marı́a S. Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a S. Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a S. Pérez. 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 Marı́a S. Pérez. The network helps show where Marı́a S. Pérez may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marı́a S. Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marı́a S. Pérez Line = papers co-authored together Marı́a S. Pérez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20239
5 202217
6 201969
7
The Sigma Data Processing Architecture: Leveraging Future Data for Extreme-Scale Data Analytics to Enable High-Precision Decisions
20181
8 20181
9 20178
10 20164
11 201610
12
Towards a scalable, fault-tolerant, self-adaptive storage for the clouds
20112
13 20062
14 20066
15
Scientific applications of grid computing : First International Workshop, SAG 2004 Beijing, China, September 20-24, 2004 : revised selected and invited papers
20051
16
GA-EDA:遺伝的アルゴリズムと分布推定アルゴリズムを用いたハイブリッド進化的アルゴリズム
20041
17
Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters.
20041
18 200430
19
Interval Estimation Na¨ ive Bayes
20031
20
The Impact of the Workflow Technology on the Software Development Process Model
19981

About Marı́a S. Pérez

Marı́a S. Pérez is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 61 papers that have together received 665 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (32 papers), Advanced Data Storage Technologies (17 papers), Scientific Computing and Data Management (14 papers), Cloud Computing and Resource Management (12 papers), Distributed systems and fault tolerance (11 papers), Peer-to-Peer Network Technologies (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (370 citations), Information Systems (312 citations) and Information Systems and Management (87 citations). Marı́a S. Pérez has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Alberto Sánchez, Jesús Montes, Vı́ctor Robles, Gabriel Antoniu, Víctor Muntés-Mulero, José M. Peña, Pilar Herrero, Pedro Larrañaga, Emilio Serrano and Marc Solé. Their work appears in journals such as Future Generation Computer Systems, Journal of the Association for Information Systems, Information Sciences, The International Journal of High Performance Computing Applications and Knowledge-Based 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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