J. Mata

836 total citations
15 papers, 662 citations indexed

About

J. Mata is a scholar working on Civil and Structural Engineering, Ecology and Radiological and Ultrasound Technology. According to data from OpenAlex, J. Mata has authored 15 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 6 papers in Ecology and 1 paper in Radiological and Ultrasound Technology. Recurrent topics in J. Mata's work include Dam Engineering and Safety (11 papers), Hydraulic flow and structures (7 papers) and Hydrology and Sediment Transport Processes (6 papers). J. Mata is often cited by papers focused on Dam Engineering and Safety (11 papers), Hydraulic flow and structures (7 papers) and Hydrology and Sediment Transport Processes (6 papers). J. Mata collaborates with scholars based in Portugal, Spain and United States. J. Mata's co-authors include José Sá da Costa, Francisco Rocha‐Gonçalves, J. Munhá, J. F. Santos, Fernando Salazar, José Barateiro, Michael Oberguggenberger, João Santos, Xavier Romão and Sérgio Pereira and has published in prestigious journals such as Engineering Structures, Computers & Structures and Water.

In The Last Decade

J. Mata

14 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Mata Portugal 9 593 215 90 72 69 15 662
Cong Xu China 14 352 0.6× 87 0.4× 182 2.0× 164 2.3× 24 0.3× 19 512
Rafael Morán Moya Spain 8 568 1.0× 255 1.2× 99 1.1× 83 1.2× 50 0.7× 36 625
Meng Yang China 12 458 0.8× 90 0.4× 114 1.3× 140 1.9× 40 0.6× 55 563
Ping Sun China 12 393 0.7× 88 0.4× 324 3.6× 154 2.1× 17 0.2× 31 674
Dirk Proske Switzerland 10 373 0.6× 130 0.6× 266 3.0× 57 0.8× 9 0.1× 63 616
Dejan Divac Serbia 7 342 0.6× 130 0.6× 49 0.5× 44 0.6× 61 0.9× 17 411
Lifeng Wen China 10 305 0.5× 48 0.2× 117 1.3× 95 1.3× 20 0.3× 34 387
Pierre-Yves Hicher France 14 818 1.4× 71 0.3× 243 2.7× 147 2.0× 72 1.0× 23 897
Cormac Reale Netherlands 11 279 0.5× 31 0.1× 192 2.1× 183 2.5× 27 0.4× 25 410
A. De Sortis Italy 10 544 0.9× 34 0.2× 34 0.4× 19 0.3× 24 0.3× 18 586

Countries citing papers authored by J. Mata

Since Specialization
Citations

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

Fields of papers citing papers by J. Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Mata

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

All Works

15 of 15 papers shown
1.
2.
Salazar, Fernando, et al.. (2025). Adaptive Warning Thresholds for Dam Safety: A KDE-Based Approach. Infrastructures. 10(7). 158–158. 1 indexed citations
3.
Mata, J., et al.. (2024). Structural characterization of a suspension bridge by mapping the temperature effects on strain response based on neural network models. Journal of Civil Structural Health Monitoring. 15(4). 1117–1137. 2 indexed citations
4.
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Hariri‐Ardebili, Mohammad Amin, et al.. (2023). Soft Computing and Machine Learning in Dam Engineering. Water. 15(5). 917–917. 4 indexed citations
6.
Mata, J., Jorge Gomes, Sérgio Pereira, Filipe Magalhães, & Álvaro Cunha. (2023). Analysis and interpretation of observed dynamic behaviour of a large concrete dam aided by soft computing and machine learning techniques. Engineering Structures. 296. 116940–116940. 10 indexed citations
7.
Mata, J., et al.. (2021). Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction. Water. 13(19). 2717–2717. 21 indexed citations
8.
Oberguggenberger, Michael, et al.. (2019). Analysis of periodicities in long‐term displacement time series in concrete dams. Structural Control and Health Monitoring. 27(3). 16 indexed citations
9.
Mata, J.. (2019). Statistical quality control method for automated water flow measurements in concrete dam foundation drainage systems. 1 indexed citations
10.
Mata, J., et al.. (2014). Construction of decision rules for early detection of a developing concrete arch dam failure scenario. A discriminant approach. Computers & Structures. 142. 45–53. 23 indexed citations
11.
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Mata, J., et al.. (2013). Constructing statistical models for arch dam deformation. Structural Control and Health Monitoring. 21(3). 423–437. 192 indexed citations
13.
Mata, J., et al.. (2012). Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1 indexed citations
14.
Mata, J.. (2011). Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models. Engineering Structures. 33(3). 903–910. 295 indexed citations
15.
Santos, J. F., J. Mata, Francisco Rocha‐Gonçalves, & J. Munhá. (1987). Contribuição para o conhecimento geológico-petrológico da região de Santa Susana: o Complexo Vulcano-Sedimentar da Toca da Moura. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 73. 29–48. 30 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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2026