Fernando Moya Rueda

1.2k citations
31 papers · 745 indexed · h-index 12
Topics
Context-Aware Activity Recognition Systems (13 papers)Congenital Heart Disease Studies (6 papers)Anomaly Detection Techniques and Applications (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaDevelopment

In The Last Decade

Fernando Moya Rueda

31 papers receiving 716 citations

Peers

Fernando Moya Rueda
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 265
  • Cellular and Molecular Neuroscience 230
  • Molecular Biology 159
  • Developmental Neuroscience 145
  • Biomedical Engineering 126
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Zhian Liu China
Damin Zhang China
Mu Su China
André T. Lopes Brazil
Payman Yadollahpour United States
Kiyoshi Hoshino Japan
Tetsuya Kimura Japan
Melvin Ayala United States
Xuan Wang China
Mohit Neema United States
Fernando Moya Rueda relative to Zhian Liu China Zhian Liu's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Fernando Moya Rueda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Moya Rueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Moya Rueda. 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 Fernando Moya Rueda. The network helps show where Fernando Moya Rueda may publish in the future.

Co-authorship network of co-authors of Fernando Moya Rueda

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Moya Rueda. A scholar is included among the top collaborators of Fernando Moya Rueda 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 Fernando Moya Rueda. Fernando Moya Rueda 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 2
2 1
3 42
4 8
5 7
6 12
7 9
8 6
9 1
10 22
11 2
12
Biased selection of leading process branches mediates chemotaxis during tangential neuronal migration
1
13 9
14 3
15 19
16 57
17 25
18 17
19 2
20 3

About Fernando Moya Rueda

Fernando Moya Rueda is a scholar working on Developmental Neuroscience, Computer Vision and Pattern Recognition and Aging, having authored 31 papers that have together received 745 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Congenital Heart Disease Studies (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Developmental Neuroscience (145 citations), Computer Vision and Pattern Recognition (265 citations) and Cellular and Molecular Neuroscience (230 citations). Fernando Moya Rueda has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Gernot A. Fink, Michael ten Hompel, Miguel Valdeolmillos, Mary Bartlett Bunge, R P Bunge, René Grzeszick, Òscar Marín, Manuel Valiente, Guillermina López‐Bendito and Francisco J. Martini. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Development.

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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