Luís de la Torre

2.5k citations
88 papers · 1.8k indexed · 1 hit paper · h-index 20
Topics
Experimental Learning in Engineering (57 papers)Advanced MEMS and NEMS Technologies (12 papers)Mechatronics Education and Applications (12 papers)
Partner nations
SpainUnited StatesChile

In The Last Decade

Luís de la Torre

84 papers receiving 1.7k citations

Hit Papers

Virtual and remote labs in education: A bibliometric anal...20162026201920222016100200300

Peers

Luís de la Torre
Comparison fields: 5 of 122
  • Media Technology 983
  • Control and Systems Engineering 323
  • Electrical and Electronic Engineering 291
  • Computer Vision and Pattern Recognition 253
  • Mechanical Engineering 250
Replace Elio Sancristobal with:
Elio Sancristobal Spain
Javier García-Zubía Spain
Ignacio Angulo Spain
Ananda Maiti Australia
James Trevelyan Australia
Dogan İbrahim Cyprus
Wenqing Cheng China
M. Bernardine Dias United States
Lance C. Pérez United States
Nurul I. Sarkar New Zealand
Luís de la Torre relative to Elio Sancristobal Spain Elio Sancristobal's profile →
Citations per field
00.5×1.5×2.2×
Elio Sancristobal · 1×
Citations per year

Countries citing papers authored by Luís de la Torre

Since Specialization
Citations

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

Fields of papers citing papers by Luís de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luís de la Torre. 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 Luís de la Torre. The network helps show where Luís de la Torre may publish in the future.

Co-authorship network of co-authors of Luís de la Torre

This figure shows the co-authorship network connecting the top 25 collaborators of Luís de la Torre. A scholar is included among the top collaborators of Luís de la Torre 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 Luís de la Torre. Luís de la Torre 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 0
3 3
4 1
5 0
6 2
7 16
8 11
9 6
10 10
11 7
12 24
13 3
14 1
15 40
16
A Parallel Needleman - Wunsch - Hirschberg Bio-sequence Alignment Algorithm.
4
17 166
18 2
19 17
20 22

About Luís de la Torre

Luís de la Torre is a scholar working on Media Technology, Architecture and Hardware and Architecture, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Experimental Learning in Engineering (57 papers), Advanced MEMS and NEMS Technologies (12 papers) and Mechatronics Education and Applications (12 papers). The work is most often cited by research in Media Technology (983 citations), Architecture (133 citations) and Computer Science Applications (168 citations). Luís de la Torre has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include S. Dormido, Rubén Heradio, Daniel Galán, Eva Besada-Portas, Francisco Javier Cabrerizo, Enrique Herrera‐Viedma, Jesús Chacón, Jesús Manuel de la Cruz García, B. de Andrés-Toro and J. Sánchez. Their work appears in journals such as Physics Today, Expert Systems with Applications and IEEE Access.

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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