Guido Novati

3.0k citations
13 papers · 1.3k indexed · 2 hit papers · h-index 8
Topics
Biomimetic flight and propulsion mechanisms (6 papers)Micro and Nano Robotics (4 papers)Fluid Dynamics and Turbulent Flows (2 papers)

In The Last Decade

Guido Novati

13 papers receiving 1.3k citations

Hit Papers

Accurate proteome-wide missense...201820262020202320232018200400600

Peers

Guido Novati
Comparison fields: 5 of 133
  • Molecular Biology 442
  • Computational Mechanics 326
  • Genetics 277
  • Aerospace Engineering 267
  • Statistical and Nonlinear Physics 218
Replace Sébastien Motsch with:
Sébastien Motsch United States
Jay R. Hove United States
Jin Lee South Korea
Thomas Sebastian United States
Yongqing Wu China
Miguel O. Bernabéu United Kingdom
Roeland M. H. Merks Netherlands
Lin Geng China
Philipp Neumann Germany
J. L. Sanders United States
Guido Novati relative to Sébastien Motsch United States Sébastien Motsch's profile →
Citations per field
00.5×10×14.1×
Sébastien Motsch · 1×
Citations per year

Countries citing papers authored by Guido Novati

Since Specialization
Citations

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

Fields of papers citing papers by Guido Novati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Novati

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 5
2 3
3
Accurate proteome-wide missense variant effect prediction with AlphaMissensebreakdown →
692
4 1
5 4
6 125
7 18
8 52
9
Efficient collective swimming by harnessing vortices through deep reinforcement learningbreakdown →
298
10 116
11 4
12 11
13 16

About Guido Novati

Guido Novati is a scholar working on Condensed Matter Physics, Computational Mechanics and Aerospace Engineering, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomimetic flight and propulsion mechanisms (6 papers), Micro and Nano Robotics (4 papers) and Fluid Dynamics and Turbulent Flows (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (218 citations), Computational Mechanics (326 citations) and Condensed Matter Physics (126 citations). Guido Novati has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Petros Koumoutsakos, Siddhartha Verma, Taylor Applebaum, Andrew Senior, Žiga Avsec, Rosalia G. Schneider, Tobias Sargeant, John Jumper, Alexander Pritzel and Demis Hassabis. Their work appears in journals such as Nature, Science and Physics of Fluids.

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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