Diego Garbervetsky

22 papers and 93 indexed citations i.

About

Diego Garbervetsky is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Diego Garbervetsky has authored 22 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Software and 8 papers in Information Systems. Recurrent topics in Diego Garbervetsky’s work include Software Testing and Debugging Techniques (10 papers), Logic, programming, and type systems (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Diego Garbervetsky is often cited by papers focused on Software Testing and Debugging Techniques (10 papers), Logic, programming, and type systems (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Diego Garbervetsky collaborates with scholars based in Argentina, France and United Kingdom. Diego Garbervetsky's co-authors include Vı́ctor Braberman, Sebastián Uchitel, Sergio Yovine, Stefan Marr, Philippe Clauss, Sven Verdoolaege, Marsha Chećhik, Dalal Alrajeh, Jeff Kramer and Nicolás D’Ippolito and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Software Practice and Experience.

In The Last Decade

Co-authorship network of co-authors of Diego Garbervetsky i

Fields of papers citing papers by Diego Garbervetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Garbervetsky

Since Specialization
Citations

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