Juan Romero

1.7k citations
44 papers · 832 indexed · h-index 14
Topics
Aesthetic Perception and Analysis (16 papers)Music Technology and Sound Studies (11 papers)Evolutionary Algorithms and Applications (8 papers)

In The Last Decade

Juan Romero

43 papers receiving 788 citations

Peers

Juan Romero
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 256
  • Cognitive Neuroscience 242
  • Artificial Intelligence 185
  • Signal Processing 101
  • Clinical Psychology 79
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Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Juan Romero

Since Specialization
Citations

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

Fields of papers citing papers by Juan Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Romero

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Romero. A scholar is included among the top collaborators of Juan Romero 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 Juan Romero. Juan Romero 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 5
2 1
3 7
4 6
5 5
6 3
7 12
8 111
9 82
10 16
11
Evolving Figurative Images Using Expression-Based Evolutionary Art.
13
12
Applications of Evolutionary ComputationEvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II
3
13
A corpus-based hybrid approach to music analysis and composition
43
14 11
15
The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music (Natural Computing Series)
24
16
Generating climate change scenarios at high resolution for impact studies and adaptation: focus on developing countries.
4
17
Applications of Evolutionary Computing: Evoworkshops 2003
49
18 2
19
Evolutionary Computing in Visual Art and Music
1
20
Adaptive aspects of rhythmic composition: genetic music
2

About Juan Romero

Juan Romero is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Architecture, having authored 44 papers that have together received 832 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (16 papers), Music Technology and Sound Studies (11 papers) and Evolutionary Algorithms and Applications (8 papers). The work is most often cited by research in Architecture (34 citations), Computer Vision and Pattern Recognition (256 citations) and Cognitive Neuroscience (242 citations). Juan Romero has collaborated with scholars based in Spain, Portugal and United Kingdom. Frequent co-authors include Penousal Machado, Adrián Carballal, Antonino Santos, Iria Santos, Nereida Rodríguez-Fernández, Luz Castro, Colin G. Johnson, João Correia, Bill Manaris and Dwight Krehbiel. Their work appears in journals such as Psychological Medicine, Sensors and Automation in Construction.

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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