Felipe Llinares-López

1.6k citations
14 papers · 352 indexed · h-index 11
Topics
Genetic Associations and Epidemiology (5 papers)Advanced Graph Neural Networks (3 papers)Genomics and Phylogenetic Studies (3 papers)

In The Last Decade

Felipe Llinares-López

13 papers receiving 345 citations

Peers

Felipe Llinares-López
Comparison fields: 5 of 85
  • Molecular Biology 174
  • Artificial Intelligence 102
  • Genetics 68
  • Information Systems 51
  • Plant Science 36
Replace Juan C. Pichel with:
Juan C. Pichel Spain
Bin Shao China
Aleksi Kallio Finland
Evangelos Georganas United States
Hongguang Fu China
Norbert Zeh Canada
Sharlee Climer United States
Bill Andreopoulos United States
Meghana Kshirsagar United States
Laurent Tichit France
Felipe Llinares-López relative to Juan C. Pichel Spain Juan C. Pichel's profile →
Citations per field
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Juan C. Pichel · 1×
Citations per year

Countries citing papers authored by Felipe Llinares-López

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Llinares-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe Llinares-López. 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 Felipe Llinares-López. The network helps show where Felipe Llinares-López may publish in the future.

Co-authorship network of co-authors of Felipe Llinares-López

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Llinares-López. A scholar is included among the top collaborators of Felipe Llinares-López 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 Felipe Llinares-López. Felipe Llinares-López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 49
2 89
3 0
4 26
5 31
6 22
7 6
8 7
9 14
10 25
11 11
12
Finding significant combinations of features in the presence of categorical covariates
14
13 21
14 37

About Felipe Llinares-López

Felipe Llinares-López is a scholar working on Genetics, Artificial Intelligence and Neurology, having authored 14 papers that have together received 352 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Advanced Graph Neural Networks (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Artificial Intelligence (102 citations), Molecular Biology (174 citations) and Genetics (68 citations). Felipe Llinares-López has collaborated with scholars based in Switzerland, United Kingdom and Japan. Frequent co-authors include Karsten Borgwardt, Mahito Sugiyama, Bastian Rieck, Quentin Berthet, Jean‐Philippe Vert, Dean A. Bodenham, Leslie O’Bray, Waleed Ammar, Andrew Carroll and Olivier Teboul. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

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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