Vin de Silva

19 papers and 8.5k indexed citations i.

About

Vin de Silva is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vin de Silva has authored 19 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 9 papers in Mathematical Physics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vin de Silva’s work include Topological and Geometric Data Analysis (17 papers), Homotopy and Cohomology in Algebraic Topology (8 papers) and Advanced Vision and Imaging (4 papers). Vin de Silva is often cited by papers focused on Topological and Geometric Data Analysis (17 papers), Homotopy and Cohomology in Algebraic Topology (8 papers) and Advanced Vision and Imaging (4 papers). Vin de Silva collaborates with scholars based in United States, United Kingdom and France. Vin de Silva's co-authors include John Langford, Joshua B. Tenenbaum, Gunnar Carlsson, Robert Ghrist, Frédéric Chazal, Steve Oudot, Afra Zomorodian, Mikael Vejdemo‐Johansson, Marc Glisse and Dmitriy Morozov and has published in prestigious journals such as Science, International Journal of Computer Vision and Inverse Problems.

In The Last Decade

Co-authorship network of co-authors of Vin de Silva i

Fields of papers citing papers by Vin de Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vin de Silva. 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 Vin de Silva. The network helps show where Vin de Silva may publish in the future.

Countries citing papers authored by Vin de Silva

Since Specialization
Citations

This map shows the geographic impact of Vin de Silva'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 Vin de Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vin de Silva 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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