Lluc Alvarez

442 citations
34 papers · 224 · h-index 10

Impact in

Papers in

Lluc Alvarez

34 papers receiving 218 citations

Peers

Lluc Alvarez
Comparison fields: 5 of 34
  • Hardware and Architecture 153
  • Computer Networks and Communications 143
  • Information Systems 57
  • Artificial Intelligence 50
  • Computer Vision and Pattern Recognition 24
Replace Vicente Blanco with:
Vicente Blanco Spain
Abhishek Bhowmick United States
Weirong Zhu United States
Nika Mansouri Ghiasi Switzerland
Ricardo Nobre Portugal
Dmitrii Ustiugov United Kingdom
C. Kouzinopoulos Greece
J. Lau United States
Lluc Alvarez relative to Vicente Blanco Spain Vicente Blanco's profile →
Citations per field
00.5×3.8×
Vicente Blanco · 1×
Citations per year

Countries citing papers authored by Lluc Alvarez

Since Specialization
Citations

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

Fields of papers citing papers by Lluc Alvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201522
2 202121
3 202113
4 202112
5 201512
6 201611
7 201711
8 202211
9 201810
10 20189
11 20228
12 20128
13 20188
14 20228
15 20187
16 20217
17 20206
18 20234
19 20184
20 20134

About Lluc Alvarez

Lluc Alvarez is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 224 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Embedded Systems Design Techniques (11 papers), Advanced Data Storage Technologies (11 papers), Cloud Computing and Resource Management (6 papers), Interconnection Networks and Systems (6 papers), Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Hardware and Architecture (153 citations), Computer Networks and Communications (143 citations), Information Systems (57 citations), Artificial Intelligence (50 citations) and Computer Vision and Pattern Recognition (24 citations). Lluc Alvarez has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Marc Casas, Miquel Moretó, Eduard Ayguadé, Mateo Valero, Daniel A. Jiménez, Xavier Martorell, Nacho Navarro, Lluís Vilanova, Marc González and Santiago Marco‐Sola. Their work appears in journals such as IEEE Transactions on Computers, Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Access and IEEE Journal on Emerging and Selected Topics in Circuits and 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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