Sandra Catalán

685 citations
73 papers · 467 · h-index 14

Impact in

Papers in

Sandra Catalán

61 papers receiving 459 citations

Peers

Sandra Catalán
Comparison fields: 5 of 80
  • Transplantation 99
  • Hardware and Architecture 164
  • Computational Mathematics 5
  • Computer Networks and Communications 135
  • Nephrology 30
Replace P. Mohan with:
P. Mohan Singapore
A. Rogers United States
Eleni Theodoropoulou Greece
Montserrat Medina United States
Sung-Bae Park South Korea
Juan José Vaquero López Spain
Akira Koseki Japan
Patel Patel United States
Jisoo Yang United States
W. Eric Wong United States
Sandra Catalán relative to P. Mohan Singapore P. Mohan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sandra Catalán

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Catalán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandra Catalán, 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 Sandra Catalán Line = papers co-authored together Sandra Catalán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201032
2
An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads
201331
3 201130
4 201729
5 201319
6 201118
7 201417
8 201016
9 202016
10 200815
11 200914
12 201214
13 201114
14 201614
15 201911
16 201911
17 202011
18 201910
19 200910
20 20139

About Sandra Catalán

Sandra Catalán is a scholar working on Hardware and Architecture, Computer Networks and Communications, Transplantation, Computational Theory and Mathematics and Nephrology, having authored 73 papers that have together received 467 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (42 papers), Interconnection Networks and Systems (13 papers), Advanced Data Storage Technologies (10 papers), Renal Transplantation Outcomes and Treatments (9 papers), Distributed and Parallel Computing Systems (8 papers), Matrix Theory and Algorithms (8 papers), Low-power high-performance VLSI design (7 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Transplantation (99 citations), Hardware and Architecture (164 citations), Computational Mathematics (5 citations), Computer Networks and Communications (135 citations) and Nephrology (30 citations). Sandra Catalán has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Enrique S. Quintana–Ort́ı, Rafael Mayo, Asunción Sancho, José Luis Teruel, Manuel F. Dolz, Pedro Valero‐Lara, Jesús Labarta, Xavier Martorell, Francisco D. Igual and José R. Herrero. Their work appears in journals such as Computer Science - Research and Development, Journal of Parallel and Distributed Computing, Parallel Computing, The International Journal of High Performance Computing Applications and Transplantation Proceedings.

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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