Armando De Giusti

24 papers and 490 indexed citations i.

About

Armando De Giusti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Armando De Giusti has authored 24 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 7 papers in Molecular Biology. Recurrent topics in Armando De Giusti’s work include Algorithms and Data Compression (7 papers), Genomics and Phylogenetic Studies (7 papers) and E-Learning and Knowledge Management (4 papers). Armando De Giusti is often cited by papers focused on Algorithms and Data Compression (7 papers), Genomics and Phylogenetic Studies (7 papers) and E-Learning and Knowledge Management (4 papers). Armando De Giusti collaborates with scholars based in Argentina, Spain and Italy. Armando De Giusti's co-authors include Marcelo Naiouf, Carlos García, Enzo Rucci, Manuel Prieto, Guillermo Botella, Laura Cristina Lanzarini, Waldo Hasperué, Fernando Gustavo Tinetti, Emilio Luque and Juan Carlos Sáez and has published in prestigious journals such as Future Generation Computer Systems, The Computer Journal and BMC Systems Biology.

In The Last Decade

Co-authorship network of co-authors of Armando De Giusti i

Fields of papers citing papers by Armando De Giusti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando De Giusti. 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 Armando De Giusti. The network helps show where Armando De Giusti may publish in the future.

Countries citing papers authored by Armando De Giusti

Since Specialization
Citations

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