Ignacio de Godos

2.9k total citations
45 papers, 2.0k citations indexed

About

Ignacio de Godos is a scholar working on Renewable Energy, Sustainability and the Environment, Pollution and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ignacio de Godos has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Renewable Energy, Sustainability and the Environment, 15 papers in Pollution and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ignacio de Godos's work include Algal biology and biofuel production (27 papers), Wastewater Treatment and Nitrogen Removal (12 papers) and Anaerobic Digestion and Biogas Production (11 papers). Ignacio de Godos is often cited by papers focused on Algal biology and biofuel production (27 papers), Wastewater Treatment and Nitrogen Removal (12 papers) and Anaerobic Digestion and Biogas Production (11 papers). Ignacio de Godos collaborates with scholars based in Spain, Mexico and Bolivia. Ignacio de Godos's co-authors include Raúl Muñoz, Pedro A. García‐Encina, Eloy Bécares, Saúl Blanco, F.G. Acién, Benoı̂t Guieysse, C.J. Banks, Emilio Molina, J.L. Mendoza and S. Heaven and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Ignacio de Godos

43 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio de Godos Spain 20 1.5k 472 407 377 311 45 2.0k
Zouhayr Arbib Spain 25 1.6k 1.1× 265 0.6× 417 1.0× 386 1.0× 396 1.3× 32 1.9k
Tryg Lundquist United States 18 1.6k 1.1× 238 0.5× 332 0.8× 311 0.8× 474 1.5× 35 2.0k
Esther Posadas Spain 20 1.2k 0.8× 317 0.7× 311 0.8× 200 0.5× 191 0.6× 20 1.5k
Cintia Gómez-Serrano Spain 28 2.1k 1.4× 271 0.6× 625 1.5× 486 1.3× 400 1.3× 60 2.6k
Shunni Zhu China 27 1.3k 0.9× 301 0.6× 241 0.6× 256 0.7× 555 1.8× 70 2.1k
Yongjun Zhao China 25 1.0k 0.7× 346 0.7× 244 0.6× 156 0.4× 302 1.0× 62 1.7k
Lin-Lan Zhuang China 23 1.0k 0.7× 689 1.5× 938 2.3× 307 0.8× 286 0.9× 71 2.3k
Qingjie Hou China 25 917 0.6× 207 0.4× 247 0.6× 179 0.5× 275 0.9× 41 1.5k
Sudharsanam Abinandan India 21 770 0.5× 243 0.5× 171 0.4× 265 0.7× 280 0.9× 55 1.4k

Countries citing papers authored by Ignacio de Godos

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio de Godos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio de Godos

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio de Godos. A scholar is included among the top collaborators of Ignacio de Godos 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 de Godos. Ignacio de Godos 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.
López-Serna, Rebeca, et al.. (2025). Evaluating emerging pollutant removal in a scale-down high rate algae pond. Journal of environmental chemical engineering. 13(3). 116010–116010. 3 indexed citations
2.
García-Martínez, María–Jesús, et al.. (2025). Life cycle assessment of swine manure management: A comparison of different management systems with Montecarlo simulation. Journal of Cleaner Production. 512. 145368–145368. 1 indexed citations
3.
Castro, Adalberto Ospino, et al.. (2025). Optimization of Biogas Production from Agricultural Residues Through Anaerobic Co-Digestion and GIS Tools in Colombia. Processes. 13(7). 2013–2013. 1 indexed citations
4.
5.
Mediavilla, Irene, et al.. (2024). Energy valorization of solid residue from steam distillation of aromatic shrubs. Industrial Crops and Products. 222. 119485–119485. 4 indexed citations
6.
Hermosilla, Daphne, et al.. (2024). Ozonation as Pretreatment of Digested Swine Manure Prior to Microalgae Culture. Water. 16(12). 1740–1740. 1 indexed citations
7.
Hermosilla, Daphne, et al.. (2024). Energy Integration of Thermal Pretreatment in Anaerobic Digestion of Wheat Straw. Energies. 17(9). 2030–2030. 4 indexed citations
8.
Hermosilla, Daphne, et al.. (2023). Improving the Anaerobic Digestion Process of Wine Lees by the Addition of Microparticles. Water. 16(1). 101–101. 3 indexed citations
9.
Godos, Ignacio de, et al.. (2023). Wastewater Treatment Using Photosynthetic Microorganisms. Symmetry. 15(2). 525–525. 11 indexed citations
10.
Torres-Franco, Andrés F., et al.. (2022). Exploring the Metabolic Capabilities of Purple Phototrophic Bacteria During Piggery Wastewater Treatment. SSRN Electronic Journal. 1 indexed citations
11.
González‐Fernández, Cristina, et al.. (2018). Biochemical methane potential of microalgae biomass using different microbial inocula. Biotechnology for Biofuels. 11(1). 184–184. 39 indexed citations
12.
13.
Arbib, Zouhayr, et al.. (2017). Understanding the biological activity of high rate algae ponds through the calculation of oxygen balances. Applied Microbiology and Biotechnology. 101(12). 5189–5198. 13 indexed citations
14.
Arbib, Zouhayr, Ignacio de Godos, Jesús Ruiz, & José A. Perales. (2017). Optimization of pilot high rate algal ponds for simultaneous nutrient removal and lipids production. The Science of The Total Environment. 589. 66–72. 53 indexed citations
15.
Godos, Ignacio de, Zouhayr Arbib, Enrique Lara, & Frank Rogalla. (2016). Evaluation of High Rate Algae Ponds for treatment of anaerobically digested wastewater: Effect of CO2 addition and modification of dilution rate. Bioresource Technology. 220. 253–261. 64 indexed citations
16.
Godos, Ignacio de, Virginia A. Vargas, Héctor Guzmán, et al.. (2014). Assessing carbon and nitrogen removal in a novel anoxic–aerobic cyanobacterial–bacterial photobioreactor configuration with enhanced biomass sedimentation. Water Research. 61. 77–85. 60 indexed citations
17.
Godos, Ignacio de, Raúl Muñoz, & Benoı̂t Guieysse. (2012). Tetracycline removal during wastewater treatment in high-rate algal ponds. Journal of Hazardous Materials. 229-230. 446–449. 199 indexed citations
18.
Godos, Ignacio de, Virginia A. Vargas, Saúl Blanco, et al.. (2010). A comparative evaluation of microalgae for the degradation of piggery wastewater under photosynthetic oxygenation. Bioresource Technology. 101(14). 5150–5158. 177 indexed citations
19.
Godos, Ignacio de, Saúl Blanco, Pedro A. García‐Encina, Eloy Bécares, & Raúl Muñoz. (2010). Influence of flue gas sparging on the performance of high rate algae ponds treating agro-industrial wastewaters. Journal of Hazardous Materials. 179(1-3). 1049–1054. 91 indexed citations
20.
Godos, Ignacio de, Saúl Blanco, Pedro A. García‐Encina, Eloy Bécares, & Raúl Muñoz. (2009). Long-term operation of high rate algal ponds for the bioremediation of piggery wastewaters at high loading rates. Bioresource Technology. 100(19). 4332–4339. 273 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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