Armando De Giusti
- Education top 5%
- Information Systems top 2%
- Clinical Psychology top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Marcelo NaioufManuel PrietoEnzo RucciCarlos GarcíaGuillermo BotellaLaura Cristina LanzariniClaudia Cecilia RussoFernando Gustavo Tinetti
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Algorithms and Data Compression (10 papers)Genomics and Phylogenetic Studies (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaFuture Generation Computer SystemsThe Computer Journal
In The Last Decade
Armando De Giusti
40 papers receiving 800 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Education 315
- Information Systems 266
- Clinical Psychology 177
- Computer Networks and Communications 129
- Artificial Intelligence 115
Countries citing papers authored by Armando De Giusti
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).
Fields of papers citing papers by Armando De Giusti
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.
Co-authorship network of co-authors of Armando De Giusti
This figure shows the co-authorship network connecting the top 25 collaborators of Armando De Giusti. A scholar is included among the top collaborators of Armando De Giusti 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 Armando De Giusti. Armando De Giusti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | Cloud Computing. Concepts, Technology & Architecture | 139 |
| 10 | 2 | |
| 11 | 0 | |
| 12 | DNA sequence alignment: hybrid parallel programming on a multicore cluster | 2 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Un modelo de arquitectura para el aprendizaje y compartición de conocimiento entre sistemas inteligentes autónomos distribuidos. | 0 |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Parallelization of the N-queens problem. Load unbalance analysis. | 2 |
About Armando De Giusti
Armando De Giusti is a scholar working on Hardware and Architecture, Computer Science Applications and Computer Networks and Communications, having authored 48 papers that have together received 892 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Algorithms and Data Compression (10 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Computer Science Applications (77 citations), Information Systems (266 citations) and Education (315 citations). Armando De Giusti has collaborated with scholars based in Argentina, Spain and Italy. Frequent co-authors include Marcelo Naiouf, Manuel Prieto, Enzo Rucci, Carlos García, Guillermo Botella, Laura Cristina Lanzarini, Claudia Cecilia Russo, Fernando Gustavo Tinetti, Emilio Luque and Juan Carlos Sáez. Their work appears in journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and The Computer Journal.
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.