Hugo Dalla-Torre

605 citations
4 papers · 136 indexed · 1 hit paper · h-index 3
Topics
Machine Learning in Bioinformatics (2 papers)Genomics and Phylogenetic Studies (2 papers)Genetic and Environmental Crop Studies (1 paper)

In The Last Decade

Hugo Dalla-Torre

3 papers receiving 135 citations

Hit Papers

Nucleotide Transformer: building and evaluating robust fo...2024202620252024255075

Peers

Hugo Dalla-Torre
Comparison fields: 5 of 38
  • Molecular Biology 81
  • Artificial Intelligence 22
  • Plant Science 18
  • Genetics 14
  • Computational Theory and Mathematics 4
Replace Evan Trop with:
Evan Trop United States
Karim Beguir Germany
Nicolás López Carranza United Kingdom
Hassan Sirelkhatim United States
Guillaume Richard Germany
Oindrila Saha United States
Laetitia Meng-Papaxanthos Switzerland
Varuni Sarwal United States
Aaron Lou United States
Svenja Mehringer Germany
Hugo Dalla-Torre relative to Evan Trop United States Evan Trop's profile →
Citations per field
00.5×1.5×
Evan Trop · 1×
Citations per year

Countries citing papers authored by Hugo Dalla-Torre

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Dalla-Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo Dalla-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 Hugo Dalla-Torre. The network helps show where Hugo Dalla-Torre may publish in the future.

Co-authorship network of co-authors of Hugo Dalla-Torre

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

All Works

About Hugo Dalla-Torre

Hugo Dalla-Torre is a scholar working on Communication, Molecular Biology and Plant Science, having authored 4 papers that have together received 136 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genetic and Environmental Crop Studies (1 paper). The work is most often cited by research in Health Informatics (3 citations), Molecular Biology (81 citations) and Artificial Intelligence (22 citations). Hugo Dalla-Torre has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Karim Beguir, Marcin J. Skwark, Thomas Pierrot, Javier Mendoza‐Revilla, Bernardo P. de Almeida, Evan Trop, Nicolás López Carranza, Guillaume Richard, Francesco Oteri and Christian Dallago. Their work appears in journals such as Nature Methods, Nature Machine Intelligence and Communications Biology.

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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