Inês Dutra

792 total citations
64 papers, 388 citations indexed

About

Inês Dutra is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Inês Dutra has authored 64 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Inês Dutra's work include Distributed and Parallel Computing Systems (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Cloud Computing and Resource Management (12 papers). Inês Dutra is often cited by papers focused on Distributed and Parallel Computing Systems (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Cloud Computing and Resource Management (12 papers). Inês Dutra collaborates with scholars based in Portugal, Brazil and United States. Inês Dutra's co-authors include Vı́tor Santos Costa, Fernando Silva, Elizabeth S. Burnside, Jesse Davis, Pedro Ferreira, David Page, David Page, Jude Shavlik, Alberto Comesaña-Campos and Ana Aguiar and has published in prestigious journals such as IEEE Access, Sensors and Journal of Parallel and Distributed Computing.

In The Last Decade

Inês Dutra

53 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Inês Dutra Portugal	10	158	111	84	65	51	64	388
Matthew Simpson United States	12	263 1.7×	63 0.6×	30 0.4×	98 1.5×	146 2.9×	28	471
Zhiqun Chen China	7	136 0.9×	64 0.6×	42 0.5×	34 0.5×	24 0.5×	30	303
Michael W. Dusenberry United States	6	191 1.2×	62 0.6×	47 0.6×	33 0.5×	33 0.6×	7	289
Guadalupe Canahuate United States	12	100 0.6×	98 0.9×	47 0.6×	15 0.2×	25 0.5×	47	369
Martin Köhn United States	11	69 0.4×	157 1.4×	19 0.2×	20 0.3×	29 0.6×	29	404
David Koester United States	5	40 0.3×	114 1.0×	117 1.4×	32 0.5×	19 0.4×	8	285
Safwat Hamad Egypt	13	266 1.7×	38 0.3×	44 0.5×	6 0.1×	58 1.1×	50	468
Jihene Malek Tunisia	13	163 1.0×	19 0.2×	33 0.4×	26 0.4×	28 0.5×	43	508
Abel Kho United States	8	149 0.9×	17 0.2×	33 0.4×	13 0.2×	51 1.0×	9	320
Peter Brockhausen Germany	5	185 1.2×	39 0.4×	65 0.8×	6 0.1×	42 0.8×	7	331

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-authorship network of co-authors of Inês Dutra

This figure shows the co-authorship network connecting the top 25 collaborators of Inês Dutra. A scholar is included among the top collaborators of Inês Dutra 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 Inês Dutra. Inês Dutra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Almeida, Lúıs, et al.. (2025). Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks. IEEE Access. 13. 77550–77564. 1 indexed citations

Ribeiro, Rita P., et al.. (2023). An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems. Sensors. 23(10). 4902–4902. 6 indexed citations

Comesaña-Campos, Alberto, et al.. (2022). Design and Development of an Intelligent Clinical Decision Support System Applied to the Evaluation of Breast Cancer Risk. Journal of Personalized Medicine. 12(2). 169–169. 27 indexed citations

Dutra, Inês, et al.. (2022). Data and Knowledge for Overtaking Scenarios in Autonomous Driving. 2(4).

Jorge, Alípio, et al.. (2022). Sensor data modeling with Bayesian networks. 261–267. 1 indexed citations

Spínola, Hélder, Ana Rita Couto, M.J. Soares, et al.. (2017). Human leucocyte antigens class II allele and haplotype association with Type 1 Diabetes in Madeira Island (Portugal). International Journal of Immunogenetics. 44(6). 305–313. 5 indexed citations

Spínola, Hélder, Ana Rita Couto, M.J. Soares, et al.. (2016). HLA‐DQA1 and HLA‐DQB1 allele diversity and its extended haplotypes in Madeira Island (Portugal). International Journal of Immunogenetics. 44(1). 27–31. 3 indexed citations

Wu, Haicheng, et al.. (2015). Relational Learning with GPUs: Accelerating Rule Coverage. International Journal of Parallel Programming. 44(3). 663–685. 6 indexed citations

Dias, Rodrigo da Silva, et al.. (2015). A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder. Studies in health technology and informatics. 216. 741–5. 7 indexed citations

10.

Ferreira, Pedro, Tiago T. V. Vinhoza, Ana Castro, et al.. (2013). Knowledge on heart condition of children based on demographic and physiological features. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 20. 314–319.

11.

Dutra, Inês, Houssam Nassif, Yirong Wu, et al.. (2013). Using machine learning to identify benign cases with non-definitive biopsy. PubMed. 222(15th). 283–285.

12.

Silva, Tânia, et al.. (2011). DigiScope — Unobtrusive collection and annotating of auscultations in real hospital environments. PubMed. 352. 1193–1196. 20 indexed citations

13.

Mattoso, Marta, et al.. (2009). Applying reinforcement learning to scheduling strategies in an actual grid environment. 2(2). 116–116. 3 indexed citations

14.

Dutra, Inês, et al.. (2008). RL-Based Scheduling Strategies in Actual Grid Environments. 6. 572–577. 2 indexed citations

15.

Davis, Jesse, Elizabeth S. Burnside, Inês Dutra, et al.. (2005). View learning for statistical relational learning: with an application to mammography. International Joint Conference on Artificial Intelligence. 677–683. 27 indexed citations

16.

França, Felipe M. G., et al.. (2004). Applying scheduling by edge reversal to constraint partitioning. ii. 134–141. 4 indexed citations

17.

Fonseca, Nuno A., Vı́tor Santos Costa, & Inês Dutra. (1998). VisAll: a universal tool to visualise the parallel execution of logic programs. International Conference on Logic Programming. 100–114. 1 indexed citations

18.

Dutra, Inês. (1995). Distributing And- and Or-Work in the Andorra-I Parallel Logic Programming System. 2 indexed citations

19.

Dutra, Inês. (1994). Strategies for scheduling and- and or- work in parallel logic programming systems. International Conference on Logic Programming. 289–304. 9 indexed citations

20.

Yang, Rong, et al.. (1993). Performance of the compiler-based Andorra-I system. Explore Bristol Research. 150–166. 17 indexed citations

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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