Inês Dutra
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 13
- Health Information Management top 10%
- Artificial Intelligence top 10%
- AI in cancer detection 7
- Quantum Computing Algorithms and Architecture 5
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- Distributed and Parallel Computing Systems 15
- Advanced Data Storage Technologies 4
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- Cloud Computing and Resource Management 12
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- Biomedical Text Mining and Ontologies 9
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- Scientific Computing and Data Management 4
- Co-authors
- Vı́tor Santos CostaFernando SilvaElizabeth S. BurnsideJesse DavisPedro FerreiraDavid PageJude ShavlikAna Aguiar
- Journals
- International Journal of Immunogenetics (2 papers)Journal of Personalized Medicine (1 paper)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Inês Dutra
53 papers receiving 368 citations
Peers
Comparison fields: 5 of 89
- Hardware and Architecture 65
- Health Informatics 10
- Issues, ethics and legal aspects 8
- Health Information Management 27
- Artificial Intelligence 158
Countries citing papers authored by Inês Dutra
This map shows the geographic impact of Inês Dutra'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 Inês Dutra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Dutra more than expected).
Fields of papers citing papers by Inês Dutra
This network shows the impact of papers produced by Inês Dutra. 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 Inês Dutra. The network helps show where Inês Dutra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inês Dutra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 0 | |
| 9 | 2015 | 6 | |
| 10 | 2013 | 0 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 20 | |
| 13 | 2011 | 2 | |
| 14 | TRICOORD+ : A MODEL FOR CONFLICT RESOLUTION IN MULTIAGENT SYSTEMS | 2008 | 0 |
| 15 | 2008 | 2 | |
| 16 | View learning for statistical relational learning: with an application to mammography | 2005 | 27 |
| 17 | VisAll: a universal tool to visualise the parallel execution of logic programs | 1998 | 1 |
| 18 | Distributing And- and Or-Work in the Andorra-I Parallel Logic Programming System | 1995 | 2 |
| 19 | Strategies for scheduling and- and or- work in parallel logic programming systems | 1994 | 9 |
| 20 | Performance of the compiler-based Andorra-I system | 1993 | 17 |
About Inês Dutra
Inês Dutra is a scholar working on Hardware and Architecture, Issues, ethics and legal aspects and Computer Networks and Communications, having authored 64 papers that have together received 388 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (12 papers), Biomedical Text Mining and Ontologies (9 papers), AI in cancer detection (7 papers), Quantum Computing Algorithms and Architecture (5 papers), Advanced Data Storage Technologies (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Hardware and Architecture (65 citations), Health Informatics (10 citations) and Issues, ethics and legal aspects (8 citations). Inês Dutra has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Vı́tor Santos Costa, Fernando Silva, Elizabeth S. Burnside, Jesse Davis, Pedro Ferreira, David Page, David Page, Jude Shavlik, Ana Aguiar and Alberto Comesaña-Campos. Their work appears in journals such as International Journal of Immunogenetics, Journal of Personalized Medicine, Journal of Parallel and Distributed Computing, IEEE Access and Sensors.
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.