Javier Ribal

607 total citations
41 papers, 436 citations indexed

About

Javier Ribal is a scholar working on Ecology, Environmental Engineering and Management Science and Operations Research. According to data from OpenAlex, Javier Ribal has authored 41 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 12 papers in Environmental Engineering and 8 papers in Management Science and Operations Research. Recurrent topics in Javier Ribal's work include Environmental Impact and Sustainability (12 papers), Agriculture Sustainability and Environmental Impact (12 papers) and Financial Reporting and Valuation Research (6 papers). Javier Ribal is often cited by papers focused on Environmental Impact and Sustainability (12 papers), Agriculture Sustainability and Environmental Impact (12 papers) and Financial Reporting and Valuation Research (6 papers). Javier Ribal collaborates with scholars based in Spain, Colombia and Greece. Javier Ribal's co-authors include Neus Sanjuán, G. Clemente, Neus Escobar, Vicent Estruch, Purificación García‐Segovia, Roberto Cervelló‐Royo, Inmaculada Bautista, Antonio Lidón, Baldomero Segura García del Río and Ronnie Juraske and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Javier Ribal

35 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Ribal Spain 11 207 172 83 68 55 41 436
Agata Matarazzo Italy 13 140 0.7× 147 0.9× 50 0.6× 23 0.3× 70 1.3× 41 525
Giulio Mario Cappelletti Italy 14 100 0.5× 68 0.4× 85 1.0× 42 0.6× 64 1.2× 32 577
Dominique Maxime Canada 9 187 0.9× 183 1.1× 76 0.9× 60 0.9× 74 1.3× 11 414
Massimo Chiorri Italy 9 140 0.7× 128 0.7× 46 0.6× 152 2.2× 26 0.5× 17 432
Nicoletta Patrizi Italy 15 129 0.6× 231 1.3× 45 0.5× 51 0.8× 44 0.8× 29 622
Yrjö Virtanen Finland 11 233 1.1× 307 1.8× 165 2.0× 65 1.0× 118 2.1× 31 716
Nanfei Jia China 10 100 0.5× 167 1.0× 54 0.7× 197 2.9× 29 0.5× 19 550
Nathalıe Iofrıda Italy 15 236 1.1× 259 1.5× 92 1.1× 74 1.1× 207 3.8× 30 800
Thierry Brunelle France 13 114 0.6× 75 0.4× 35 0.4× 107 1.6× 18 0.3× 22 528
Kirsi Usva Finland 13 288 1.4× 242 1.4× 139 1.7× 50 0.7× 76 1.4× 34 558

Countries citing papers authored by Javier Ribal

Since Specialization
Citations

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

Fields of papers citing papers by Javier Ribal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Ribal

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ribal. A scholar is included among the top collaborators of Javier Ribal 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 Javier Ribal. Javier Ribal 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
1.
2.
Cervelló‐Royo, Roberto, et al.. (2024). Combination of ESG scores and prediction-based returns using long short-term memory neural networks to generate responsible portfolios. Journal of Sustainable Finance & Investment. 1–21. 2 indexed citations
3.
Cervelló‐Royo, Roberto, et al.. (2024). Portfolio Optimization with Prediction-Based Return Using Long Short-Term Memory Neural Networks: Testing on Upward and Downward European Markets. Computational Economics. 65(3). 1479–1504. 7 indexed citations
4.
Cervelló‐Royo, Roberto, et al.. (2023). Using LSTM-Predicted Stock Prices and Risk-Adjusted Performance Metrics to Optimize Portfolios in the European Market. RiuNet (Universitat Politècnica de València).
5.
Sanjuán, Neus, et al.. (2023). From farm accountancy data to environmental indicators: Assessing the environmental performance of Spanish agriculture at a regional level. The Science of The Total Environment. 894. 164937–164937. 6 indexed citations
6.
Lado, Joanna, et al.. (2023). On the relevance of site specificity and temporal variability in agricultural LCA: a case study on mandarin in North Uruguay. The International Journal of Life Cycle Assessment. 28(11). 1516–1532. 7 indexed citations
7.
Sanjuán, Neus, et al.. (2023). Dataset to monitor regionalised environmental impacts of the main agricultural products in Spain. Data in Brief. 46. 108883–108883. 2 indexed citations
8.
Ribal, Javier, et al.. (2022). A farm compensation model to reduce the risk of pest spreading: An application for Xylella fastidiosa in Mediterranean agriculture. RiuNet (Politechnical University of Valencia). 94(1). 112–136. 1 indexed citations
9.
Sanjuán, Neus, et al.. (2022). Oxygen transmission rate through thermoformed trays: Modeling and influence of processing variables. Polymer Engineering and Science. 62(11). 3599–3610. 1 indexed citations
10.
Sanjuán, Neus, et al.. (2022). An approach to regionalise the life cycle inventories of Spanish agriculture: Monitoring the environmental impacts of orange and tomato crops. The Science of The Total Environment. 856(Pt 1). 158909–158909. 10 indexed citations
11.
Vidal, Borja, Javier Ribal, Pablo Sanchis, et al.. (2021). Students' perception on learning methods in engineering disciplines. Journal of Applied Research in Higher Education. 14(3). 946–957. 5 indexed citations
12.
Haupt, Mélanie, et al.. (2016). Aproximación a la itegración de la huella de carbono y aspectos nutricionales para un consumo sostenible de alimentos. RiuNet (Politechnical University of Valencia). 22(1). 2–9. 2 indexed citations
13.
Ribal, Javier, et al.. (2015). Designing healthy, climate friendly and affordable school lunches. The International Journal of Life Cycle Assessment. 21(5). 631–645. 64 indexed citations
14.
Ribal, Javier, Purificación García‐Segovia, G. Clemente, et al.. (2014). Designing healthy, climate friendly and affordable school lunches.. 1103–1112. 2 indexed citations
15.
Escobar, Neus, Javier Ribal, G. Clemente, & Neus Sanjuán. (2014). Consequential LCA of two alternative systems for biodiesel consumption in Spain, considering uncertainty. Journal of Cleaner Production. 79. 61–73. 51 indexed citations
16.
Ribal, Javier, Antonio Lidón, Inmaculada Bautista, et al.. (2014). Influence of Management Practices on Economic and Environmental Performance of Crops. A Case Study in Spanish Horticulture. Agroecology and Sustainable Food Systems. 38(6). 635–659. 11 indexed citations
17.
Escobar, Neus, et al.. (2014). Uncertainty analysis in the environmental assessment of an integrated management system for restaurant and catering waste in Spain. The International Journal of Life Cycle Assessment. 20(2). 244–262. 35 indexed citations
18.
Clemente, G., et al.. (2013). INFLUENCE OF AGRO-FOOD WASTE ON SUSTAINABLE FOOD CONSUMPTION. 1 indexed citations
19.
Sanjuán, Neus, et al.. (2011). Measuring and Improving Eco-efficiency Using Data Envelopment Analysis. Journal of Industrial Ecology. 15(4). 614–628. 43 indexed citations
20.
Ribal, Javier, et al.. (2011). Application of the continuing value model to small and medium-sized Spanish enterprises. Mathematical and Computer Modelling. 57(7-8). 1788–1794. 3 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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