Jonathan Masci

25 papers and 3.7k indexed citations i.

About

Jonathan Masci is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jonathan Masci has authored 25 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Jonathan Masci’s work include 3D Shape Modeling and Analysis (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (6 papers). Jonathan Masci is often cited by papers focused on 3D Shape Modeling and Analysis (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (6 papers). Jonathan Masci collaborates with scholars based in Switzerland, Germany and United Kingdom. Jonathan Masci's co-authors include Jürgen Schmidhuber, Dan Cireşan, Michael M. Bronstein, Ueli Meier, Davide Boscaini, Emanuele Rodolà, Jan Svoboda, Federico Monti, Luca Maria Gambardella and Pierre Vandergheynst and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Jonathan Masci i

Fields of papers citing papers by Jonathan Masci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Masci

Since Specialization
Citations

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

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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2025