Dalila Durães

417 citations
27 papers · 77 indexed · h-index 6
Topics
Online Learning and Analytics (5 papers)Traffic Prediction and Management Techniques (4 papers)Anomaly Detection Techniques and Applications (4 papers)
Partner nations
PortugalSpainItaly

In The Last Decade

Dalila Durães

26 papers receiving 74 citations

Peers

Dalila Durães
Comparison fields: 5 of 55
  • Artificial Intelligence 19
  • Computer Science Applications 17
  • Computer Networks and Communications 11
  • Information Systems 9
  • Computer Vision and Pattern Recognition 9
Replace Ace C. Lagman with:
Ace C. Lagman Philippines
Komminist Weldemariam Italy
Valérie Camps France
Zhiping Xiao United States
Alejandro Guerra‐Hernández Mexico
Md. Kishor Morol Bangladesh
Daniel H. Wilson United States
Rahul Patil India
Paolo Bolettieri Italy
Gajula Ramesh India
Dalila Durães relative to Ace C. Lagman Philippines Ace C. Lagman's profile →
Citations per field
00.5×
Ace C. Lagman · 1×
Citations per year

Countries citing papers authored by Dalila Durães

Since Specialization
Citations

This map shows the geographic impact of Dalila Durães'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 Dalila Durães with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalila Durães more than expected).

Fields of papers citing papers by Dalila Durães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalila Durães. 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 Dalila Durães. The network helps show where Dalila Durães may publish in the future.

Co-authorship network of co-authors of Dalila Durães

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 9
4 2
5 2
6 1
7 5
8 3
9 2
10 2
11 2
12 2
13 1
14 3
15 1
16 8
17 2
18 2
19 1
20 3

About Dalila Durães

Dalila Durães is a scholar working on Computer Science Applications, Transportation and Building and Construction, having authored 27 papers that have together received 77 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Traffic Prediction and Management Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Science Applications (17 citations), Media Technology (8 citations) and Transportation (6 citations). Dalila Durães has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Paulo Nováis, Davide Carneiro, José Machado, Javier Bajo, Hugo Peixoto, Fernando De la Prieta, Ricardo J. Machado, Carlos Alves, António Abelha and Alexandre Santos. Their work appears in journals such as Sensors, Neurocomputing and Future Generation Computer Systems.

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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