Hugo Pacheco
- Information Systems top 10%
- Artificial Intelligence
- Software top 5%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Zhenjiang HuAlcino CunhaSebastian FischerNuno MacedoJosé Bacelar AlmeidaJosé ProençaManuel BarbosaGilles Barthe
- Topics
- Logic, programming, and type systems (7 papers)Advanced Database Systems and Queries (4 papers)Cryptography and Data Security (4 papers)
- Journals
- Science China Information SciencesElectronic Notes in Theoretical Computer ScienceProceedings of the ACM on Programming Languages
- Partner nations
- PortugalJapanUnited States
In The Last Decade
Hugo Pacheco
18 papers receiving 120 citations
Peers
Comparison fields: 5 of 27
- Information Systems 69
- Artificial Intelligence 69
- Software 63
- Computer Networks and Communications 36
- Computational Theory and Mathematics 11
Countries citing papers authored by Hugo Pacheco
This map shows the geographic impact of Hugo Pacheco'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 Hugo Pacheco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Pacheco more than expected).
Fields of papers citing papers by Hugo Pacheco
This network shows the impact of papers produced by Hugo Pacheco. 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 Hugo Pacheco. The network helps show where Hugo Pacheco may publish in the future.
Co-authorship network of co-authors of Hugo Pacheco
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Pacheco. A scholar is included among the top collaborators of Hugo Pacheco 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 Hugo Pacheco. Hugo Pacheco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | Towards a Framework for Multidirectional Model Transformations | 10 |
| 11 | 3 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | Coupled Schema Transformation and Data Conversion For XML and SQL | 2 |
| 20 | 3 |
About Hugo Pacheco
Hugo Pacheco is a scholar working on Software, Hardware and Architecture and Artificial Intelligence, having authored 20 papers that have together received 128 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Advanced Database Systems and Queries (4 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Software (63 citations), Information Systems (69 citations) and Artificial Intelligence (69 citations). Hugo Pacheco has collaborated with scholars based in Portugal, Japan and United States. Frequent co-authors include Zhenjiang Hu, Alcino Cunha, Sebastian Fischer, Nuno Macedo, José Bacelar Almeida, José Proença, Manuel Barbosa, Gilles Barthe, Joost Visser and P. A. S. Jorge. Their work appears in journals such as Science China Information Sciences, Electronic Notes in Theoretical Computer Science and Proceedings of the ACM on Programming Languages.
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.