Federico Monti

45 total papers · 4.3k total citations
16 papers, 1.8k citations indexed

About

Federico Monti is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Information Systems. According to data from OpenAlex, Federico Monti has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Federico Monti's work include Video Surveillance and Tracking Methods (3 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). Federico Monti is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). Federico Monti collaborates with scholars based in Italy, Switzerland and United Kingdom. Federico Monti's co-authors include Michael M. Bronstein, Emanuele Rodolà, Davide Boscaini, Jonathan Masci, Jan Svoboda, Bruno E. Correia, Freyr Sverrisson, Pablo Gaínza, Xavier Bresson and Marco Tagliasacchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Methods.

In The Last Decade

Federico Monti

14 papers receiving 1.8k citations

Hit Papers

Geometric Deep Learning o... 2017 2026 2020 2023 2017 2019 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
    2017 977 citations Federico Monti, Davide Boscaini et al. IRIS Research product catalog (Sapienza University of Rome) profile →
  2. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
    2019 433 citations Pablo Gaínza, Freyr Sverrisson et al. Nature Methods profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Monti 688 649 433 265 230 16 1.8k
Davide Boscaini 562 0.8× 709 1.1× 393 0.9× 218 0.8× 456 2.0× 20 1.8k
Christos Boutsidis 709 1.0× 535 0.8× 317 0.7× 254 1.0× 490 2.1× 28 1.7k
Christopher Morris 559 0.8× 444 0.7× 110 0.3× 99 0.4× 153 0.7× 35 1.3k
Feiyun Zhu 541 0.8× 379 0.6× 162 0.4× 144 0.5× 118 0.5× 21 1.4k
David K. Hammond 683 1.0× 511 0.8× 161 0.4× 113 0.4× 265 1.2× 22 1.7k
L.P. Cordella 737 1.1× 1.2k 1.8× 157 0.4× 228 0.9× 45 0.2× 53 1.9k
Markus Svensén 756 1.1× 525 0.8× 180 0.4× 166 0.6× 56 0.2× 16 2.1k
Serhii Havrylov 1.4k 2.1× 789 1.2× 120 0.3× 98 0.4× 64 0.3× 6 2.4k
Sebastian Mika 452 0.7× 636 1.0× 323 0.7× 503 1.9× 146 0.6× 18 1.7k
Jonathan A. Kelner 370 0.5× 311 0.5× 140 0.3× 418 1.6× 172 0.7× 37 1.4k

Countries citing papers authored by Federico Monti

Since Specialization
Citations

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

Fields of papers citing papers by Federico Monti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Monti

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

All Works

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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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