Inês Dutra

792 citations
64 papers · 388 · h-index 10

Impact in

Papers in

Inês Dutra

53 papers receiving 368 citations

Peers

Inês Dutra
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
Replace Michael W. Dusenberry with:
Michael W. Dusenberry United States
Matthew Simpson United States
Martin Köhn United States
Toshinari Itoko Japan
Guadalupe Canahuate United States
David Koester United States
Ivor Spence United Kingdom
Anjali Sardana India
Cécile Germain‐Renaud France
Chris Umans United States
Inês Dutra relative to Michael W. Dusenberry United States Michael W. Dusenberry's profile →
Citations per field
00.5×10×15×18×
Michael W. Dusenberry · 1×
Citations per year

Countries citing papers authored by Inês Dutra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Inês Dutra Line = papers co-authored together Inês Dutra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201459
2 202227
3
View learning for statistical relational learning: with an application to mammography
200527
4 202025
5 201120
6
Knowledge discovery from structured mammography reports using inductive logic programming.
200519
7
Performance of the compiler-based Andorra-I system
199317
8 201613
9 202013
10 201211
11
Strategies for scheduling and- and or- work in parallel logic programming systems
19949
12
Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems.
20159
13
Establishing Identity Equivalence in Multi-Relational Domains
20059
14 20158
15 20157
16 20047
17 20236
18 20156
19 20216
20
Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy.
20116

About Inês Dutra

Inês Dutra is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Hardware and Architecture and Molecular Biology, 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), Optimization and Search Problems (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Hardware and Architecture (65 citations), Health Informatics (10 citations), Issues, ethics and legal aspects (8 citations), Health Information Management (27 citations) and Artificial Intelligence (158 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, Jude Shavlik, David Page, Alberto Comesaña-Campos and Priscila M. V. Lima. 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.

Explore authors with similar magnitude of impact