Enol Fernández

402 citations
28 papers · 95 indexed · h-index 6

Enol Fernández

23 papers receiving 89 citations

Peers

Enol Fernández
Comparison fields: 5 of 31
  • Information Systems and Management 38
  • Computer Networks and Communications 66
  • Information Systems 37
  • Structural Biology 2
  • Hardware and Architecture 9
Replace Marco Fargetta with:
Marco Fargetta Italy
E. Giorgio Italy
L. Zangrando Italy
A. McNab United Kingdom
Włodzimierz Funika Poland
Sergio Traldi Italy
Daniel Mallmann Germany
Mark Santcroos Netherlands
S. Fantinel Italy
Matti Heikkurinen Germany
Enol Fernández relative to Marco Fargetta Italy Marco Fargetta's profile →
Citations per field
00.5×
Marco Fargetta · 1×
Citations per year

Countries citing papers authored by Enol Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Enol Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20195
3 20181
4 20163
5 201311
6 20131
7
Support to MPI Applications on the Grid
20121
8 20121
9
Transparent access to scientific and commercial clouds from the Kepler workflow engine
20124
10 20120
11 20120
12 20121
13
A unified user experience for MPI jobs in EMI
20111
14 20101
15
Scheduling for Interactive and Parallel Applications on Grids
20080
16
MPI SUPPORT ON THE GRID
200810
17
CrossBroker: A Grid Metascheduler for Interactive and Parallel Jobs
20084
18 20066
19 20063
20 19890

About Enol Fernández

Enol Fernández is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 28 papers that have together received 95 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (20 papers), Advanced Data Storage Technologies (10 papers), Scientific Computing and Data Management (10 papers), Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (6 papers), IoT and Edge/Fog Computing (2 papers), Particle Detector Development and Performance (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Information Systems and Management (38 citations), Computer Networks and Communications (66 citations) and Information Systems (37 citations). Enol Fernández has collaborated with scholars based in Spain, Poland and Italy. Frequent co-authors include Álvaro López García, Isabel Campos, Rainer Keller, Miquel A. Senar, Marcin Płóciennik, Elisa Heymann, Sònia Casillas, Antonio Barbadilla, William Henry Jackson and Raquel Egea. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Computer Physics Communications.

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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