Dídia Covas

4.5k citations
170 papers · 3.5k indexed · h-index 31
Topics
Water Systems and Optimization (140 papers)Geotechnical Engineering and Underground Structures (43 papers)Water resources management and optimization (36 papers)
Journals
SHILAP Revista de lepidopterologíaWater Resources ResearchConstruction and Building Materials
Partner nations
PortugalItalyBrazil

In The Last Decade

Dídia Covas

162 papers receiving 3.4k citations

Peers

Dídia Covas
Comparison fields: 5 of 114
  • Civil and Structural Engineering 2.9k
  • Ocean Engineering 788
  • Materials Chemistry 687
  • Mechanical Engineering 623
  • Water Science and Technology 491
Replace Ivan Stoianov with:
Ivan Stoianov United Kingdom
Helena M. Ramos Portugal
Enrico Creaco Italy
Thomas M. Walski United States
M. Hesham El Naggar Canada
M.H. Afshar Iran
Joaquim Casal Spain
Isam Shahrour France
Orazio Giustolisi Italy
Petra Amparo López Jiménez Spain
Dídia Covas relative to Ivan Stoianov United Kingdom Ivan Stoianov's profile →
Citations per field
00.5×2.6×
Ivan Stoianov · 1×
Citations per year

Countries citing papers authored by Dídia Covas

Since Specialization
Citations

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

Fields of papers citing papers by Dídia Covas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dídia Covas

This figure shows the co-authorship network connecting the top 25 collaborators of Dídia Covas. A scholar is included among the top collaborators of Dídia Covas 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 Dídia Covas. Dídia Covas 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 0
2 4
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5 2
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8 5
9 1
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13 16
14 6
15 42
16
Leakage detection in pipeline systems by inverse transient analysis - from theory to practice
6
17
Wavelet processing of transient signals for pipeline leak location and quantification
4
18
Finding new trends through data analytics in infrastructure asset management – rehabilitation investments versus operational management
1
19 72
20 179

About Dídia Covas

Dídia Covas is a scholar working on Civil and Structural Engineering, Ocean Engineering and Water Science and Technology, having authored 170 papers that have together received 3.5k indexed citations. Recurring topics across this work include Water Systems and Optimization (140 papers), Geotechnical Engineering and Underground Structures (43 papers) and Water resources management and optimization (36 papers). The work is most often cited by research in Civil and Structural Engineering (2.9k citations), Ocean Engineering (788 citations) and Water Science and Technology (491 citations). Dídia Covas has collaborated with scholars based in Portugal, Italy and Brazil. Frequent co-authors include Helena M. Ramos, Alexandre Kepler Soares, D. Loureiro, Nuno M. C. Martins, Ivan Stoianov, Nigel Graham, António Betâmio de Almeida, Čedo Maksimović, Luisa Fernanda Ribeiro Reis and Nelson Carriço. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and Construction and Building Materials.

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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