Iván Federico

1.1k total citations
29 papers, 528 citations indexed

About

Iván Federico is a scholar working on Oceanography, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Iván Federico has authored 29 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 16 papers in Atmospheric Science and 5 papers in Computational Mechanics. Recurrent topics in Iván Federico's work include Oceanographic and Atmospheric Processes (13 papers), Tropical and Extratropical Cyclones Research (10 papers) and Ocean Waves and Remote Sensing (8 papers). Iván Federico is often cited by papers focused on Oceanographic and Atmospheric Processes (13 papers), Tropical and Extratropical Cyclones Research (10 papers) and Ocean Waves and Remote Sensing (8 papers). Iván Federico collaborates with scholars based in Italy, Greece and Spain. Iván Federico's co-authors include Francesco Aristodemo, S. Marrone, A. Colagrossi, M. Antuono, Giovanni Coppini, Nadia Pinardi, Rita Lecci, Andrea Panizzo, Paolo Veltri and Paolo Oddo and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Iván Federico

27 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iván Federico Italy	14	228	190	131	95	73	29	528
Eugenio Pugliese Carratelli Italy	13	136 0.6×	195 1.0×	129 1.0×	195 2.1×	33 0.5×	47	459
Janek Laanearu Estonia	13	78 0.3×	144 0.8×	94 0.7×	96 1.0×	38 0.5×	45	449
Sheng Jin China	12	112 0.5×	161 0.8×	113 0.9×	197 2.1×	40 0.5×	50	426
Budi Gunawan United States	11	92 0.4×	124 0.7×	83 0.6×	65 0.7×	47 0.6×	37	473
Mohsen Soltanpour Iran	11	56 0.2×	124 0.7×	82 0.6×	187 2.0×	39 0.5×	66	367
B. Tartinville Belgium	14	164 0.7×	206 1.1×	171 1.3×	103 1.1×	131 1.8×	35	567
Yonguk Ryu South Korea	8	225 1.0×	76 0.4×	117 0.9×	218 2.3×	23 0.3×	30	448
George C. Christodoulou Greece	12	173 0.8×	89 0.5×	91 0.7×	70 0.7×	49 0.7×	40	622
Davide Pasquali Italy	12	59 0.3×	104 0.5×	91 0.7×	163 1.7×	55 0.8×	39	394
Kim Dan Nguyen France	12	178 0.8×	58 0.3×	54 0.4×	148 1.6×	54 0.7×	41	465

Countries citing papers authored by Iván Federico

Since Specialization

Citations

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

Fields of papers citing papers by Iván Federico

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Federico

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Federico. A scholar is included among the top collaborators of Iván Federico 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 Iván Federico. Iván Federico 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

Tullio, Marco D. de, et al.. (2025). A collective intelligence model for swarm robotics applications. Nature Communications. 16(1). 6572–6572.

Federico, Iván, et al.. (2025). Coupling ocean currents and waves for seamless cross-scale modeling during Medicane Ianos. Ocean science. 21(3). 1105–1123.

Federico, Iván, et al.. (2024). The Black Sea near-past wave climate and its variability: a hindcast study. Frontiers in Marine Science. 11. 6 indexed citations

Camus, Paula, et al.. (2024). Assessing storm surge model performance: what error indicators can measure the model's skill?. Ocean science. 20(6). 1513–1526. 1 indexed citations

Verri, Giorgia, et al.. (2023). Shelf slope, estuarine dynamics and river plumes in a z* vertical coordinate, unstructured grid model. Ocean Modelling. 184. 102235–102235. 4 indexed citations

Fanizza, Carmelo, Rita Lecci, Iván Federico, et al.. (2023). Machine Learning to predict cetacean behaviour using social and environmental features. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 289–293. 2 indexed citations

Maglietta, Rosalia, Carmelo Fanizza, Vito Telesca, et al.. (2023). Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea. Scientific Reports. 13(1). 2600–2600. 21 indexed citations

Mentaschi, Lorenzo, Michalis Vousdoukas, Tomás Fernández-Montblanc, et al.. (2023). A global unstructured, coupled, high-resolution hindcast of waves and storm surge. Frontiers in Marine Science. 10. 20 indexed citations

Federico, Iván, Italo Epicoco, Giorgia Verri, et al.. (2022). Parallel implementation of the SHYFEM (System of HydrodYnamic Finite Element Modules) model. Geoscientific model development. 15(15). 6025–6046. 7 indexed citations

10.

Pinardi, Nadia, et al.. (2022). Wind-wave characteristics and extremes along the Emilia-Romagna coast. Natural hazards and earth system sciences. 22(10). 3413–3433. 3 indexed citations

11.

Pinardi, Nadia, et al.. (2022). A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges. The Science of The Total Environment. 847. 157603–157603. 31 indexed citations

12.

Federico, Iván, Emanuele Di Lorenzo, Tal Ezer, et al.. (2022). The contribution of hurricane remote ocean forcing to storm surge along the Southeastern U.S. coast. Coastal Engineering. 173. 104098–104098. 24 indexed citations

13.

Federico, Iván, Italo Epicoco, Giorgia Verri, et al.. (2021). Parallel Implementation of the SHYFEM Model. 3 indexed citations

14.

Liubartseva, Svitlana, Iván Federico, Giovanni Coppini, & Rita Lecci. (2021). Stochastic oil spill modeling for environmental protection at the Port of Taranto (southern Italy). Marine Pollution Bulletin. 171. 112744–112744. 12 indexed citations

15.

Liubartseva, Svitlana, et al.. (2020). Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018. Marine Pollution Bulletin. 154. 111002–111002. 14 indexed citations

16.

Federico, Iván, Nadia Pinardi, Francesco Maicu, et al.. (2020). Observational Evidence of the Basin‐Wide Gyre Reversal in the Gulf of Taranto. Geophysical Research Letters. 47(22). 7 indexed citations

17.

Federico, Iván, Nadia Pinardi, Giovanni Coppini, et al.. (2017). Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas. Natural hazards and earth system sciences. 17(1). 45–59. 43 indexed citations

18.

Gaeta, Maria Gabriella, Achilleas G. Samaras, Iván Federico, et al.. (2016). A coupled wave–3-D hydrodynamics model of the Taranto Sea (Italy): amultiple-nesting approach. Natural hazards and earth system sciences. 16(9). 2071–2083. 20 indexed citations

19.

Federico, Iván, S. Marrone, A. Colagrossi, Pierangelo Veltri, & Francesco Aristodemo. (2010). Simulating free-surface channel flows through SPH. IRIS eCampus Telematic University (Università degli Studi eCampus). 1 indexed citations

20.

Aristodemo, Francesco, Iván Federico, Paolo Veltri, & Andrea Panizzo. (2010). Two-phase SPH modelling of advective diffusion processes. Environmental Fluid Mechanics. 10(4). 451–470. 49 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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