Ignacio J. Turias

1.1k total citations
65 papers, 753 citations indexed

About

Ignacio J. Turias is a scholar working on Environmental Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Ignacio J. Turias has authored 65 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 18 papers in Industrial and Manufacturing Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Ignacio J. Turias's work include Maritime Ports and Logistics (17 papers), Air Quality Monitoring and Forecasting (15 papers) and Air Quality and Health Impacts (12 papers). Ignacio J. Turias is often cited by papers focused on Maritime Ports and Logistics (17 papers), Air Quality Monitoring and Forecasting (15 papers) and Air Quality and Health Impacts (12 papers). Ignacio J. Turias collaborates with scholars based in Spain, United Kingdom and Portugal. Ignacio J. Turias's co-authors include Juan Jesús Ruíz-Aguilar, M.J. Jiménez–Come, Pedro L. Galindo, Daniel Urda, David Elizondo, Enrique Muñoz, Carlos G. Puntonet, J. M. Górriz, Rodrigo García and Mar González and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Atmospheric Environment.

In The Last Decade

Ignacio J. Turias

61 papers receiving 723 citations

Peers

Countries citing papers authored by Ignacio J. Turias

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio J. Turias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio J. Turias

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio J. Turias. A scholar is included among the top collaborators of Ignacio J. Turias 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 Ignacio J. Turias. Ignacio J. Turias 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

#	Work	Indexed citations
1	Air Pollution Forecasting Using Autoencoders: A Classification-Based Prediction of NO2, PM10, and SO2 Concentrations 2025 ·Nitrogen ·(unknown), (unknown), Pedro Fernández, (unknown), Pedro J. S. Cardoso, Ignacio J. Turias	0
2	Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain) 2024 ·Journal of Marine Science and Engineering ·(unknown), (unknown), (unknown), (unknown), Juan Jesús Ruíz-Aguilar, Ignacio J. Turias	2
3	Virtual Sensor for Estimating the Strain-Hardening Rate of Austenitic Stainless Steels Using a Machine Learning Approach 2024 ·Applied Sciences ·(unknown), (unknown), David L. Sales, (unknown), (unknown), Ignacio J. Turias	1
4	Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Isabel Benavente‐Fernández, Daniel Urda, Ignacio J. Turias	0
5	Oil Spill Classification Using an Autoencoder and Hyperspectral Technology 2024 ·Journal of Marine Science and Engineering ·(unknown), (unknown), Juan Jesús Ruíz-Aguilar, Lipika Deka, David Elizondo, Ignacio J. Turias	1
6	Application of Multivariate Statistical Techniques as an Indicator of Variability of the Effects of COVID-19 on the Paris Memorandum of Understanding on Port State Control 2023 ·Mathematics ·(unknown), Víctor Amor‐Esteban, (unknown), Ignacio J. Turias, Francisco Piniella Corbacho	8
7	Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain) 2023 ·Stochastic Environmental Research and Risk Assessment ·(unknown), (unknown), (unknown), Juan Jesús Ruíz-Aguilar, Ignacio J. Turias	7
8	Long Short-Term Memory Approach for Short-Term Air Quality Forecasting in the Bay of Algeciras (Spain) 2023 ·Sustainability ·(unknown), (unknown), (unknown), Juan Jesús Ruíz-Aguilar, Ignacio J. Turias	8
9	A Machine Learning Approach for Modelling Cold-Rolling Curves for Various Stainless Steels 2023 ·Materials ·(unknown), (unknown), David L. Sales, (unknown), (unknown), Ignacio J. Turias	3
10	Air pollution relevance analysis in the bay of Algeciras (Spain) 2022 ·International Journal of Environmental Science and Technology ·(unknown), (unknown), (unknown), Juan Jesús Ruíz-Aguilar, Ignacio J. Turias	6
11	Origin–Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model 2021 ·Journal of Urban Planning and Development ·(unknown), Juan Jesús Ruíz-Aguilar, (unknown), Ignacio J. Turias	5
12	Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain) 2021 ·Sensors ·(unknown), Juan Jesús Ruíz-Aguilar, (unknown), Daniel Urda, Lipika Deka, Ignacio J. Turias	14
13	A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain) 2021 ·Stochastic Environmental Research and Risk Assessment ·(unknown), Juan Jesús Ruíz-Aguilar, (unknown), Daniel Urda, Ignacio J. Turias	13
14	Deep neural networks architecture driven by problem-specific information 2021 ·Neural Computing and Applications ·Daniel Urda, Francisco J. Veredas, (unknown), Juan Jesús Ruíz-Aguilar, José M. Jerez, Ignacio J. Turias	8
15	A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction 2020 ·Neural Computing and Applications ·Juan Jesús Ruíz-Aguilar, Ignacio J. Turias, (unknown), Daniel Urda, David Elizondo	63
16	A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities 2020 ·Applied Sciences ·Juan Jesús Ruíz-Aguilar, (unknown), Daniel Urda, (unknown), Ignacio J. Turias	6
17	Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain) 2019 ·Stochastic Environmental Research and Risk Assessment ·(unknown), Ignacio J. Turias, Juan Jesús Ruíz-Aguilar, (unknown), Leonardo Franco	11
18	Efficiency Evolution of Largest Iberian Peninsula Container Ports: An Application of Malmquist Productivity Index 2018 ·Rivista Internazionale di Economia dei Trasporti ·(unknown), Ignacio J. Turias, (unknown)	2
19	A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel 2015 ·Corrosion Reviews ·M.J. Jiménez–Come, Ignacio J. Turias, Juan Jesús Ruíz-Aguilar	15
20	Pattern Recognition Approach to Quantitative Description of the Microstructure of Disordered Composites for Estimation of Thermal Conductivity 2002 ·Science and Engineering of Composite Materials ·Ignacio J. Turias, José María Gutiérrez Martínez, Pedro L. Galindo	3

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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