Fearghal O’Donncha

789 total citations
33 papers, 547 citations indexed

About

Fearghal O’Donncha is a scholar working on Oceanography, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Fearghal O’Donncha has authored 33 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oceanography, 10 papers in Atmospheric Science and 8 papers in Environmental Engineering. Recurrent topics in Fearghal O’Donncha's work include Oceanographic and Atmospheric Processes (11 papers), Meteorological Phenomena and Simulations (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Fearghal O’Donncha is often cited by papers focused on Oceanographic and Atmospheric Processes (11 papers), Meteorological Phenomena and Simulations (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Fearghal O’Donncha collaborates with scholars based in Ireland, United States and Canada. Fearghal O’Donncha's co-authors include Jon Grant, Michael Hartnett, Scott James, Emanuele Ragnoli, Stephen Nash, Bei Chen, Stefan Wolff, Bei Chen, Ramón Filgueira and Lei Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Renewable Energy.

In The Last Decade

Fearghal O’Donncha

29 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fearghal O’Donncha Ireland 12 198 157 134 123 114 33 547
Zui Tao China 15 134 0.7× 121 0.8× 92 0.7× 85 0.7× 56 0.5× 79 643
Huping Ye China 13 90 0.5× 166 1.1× 121 0.9× 47 0.4× 130 1.1× 53 617
Guandong Gao China 12 311 1.6× 139 0.9× 50 0.4× 193 1.6× 72 0.6× 45 625
Shungudzemwoyo P. Garaba Germany 20 255 1.3× 133 0.8× 83 0.6× 29 0.2× 327 2.9× 30 1.1k
Renato Mendes Portugal 14 310 1.6× 155 1.0× 42 0.3× 93 0.8× 52 0.5× 42 679
Benjamin J. Williamson United Kingdom 15 180 0.9× 175 1.1× 52 0.4× 34 0.3× 53 0.5× 52 689
Wenting Quan China 11 257 1.3× 91 0.6× 78 0.6× 46 0.4× 163 1.4× 33 471
Pengfei Shi China 18 45 0.2× 310 2.0× 240 1.8× 236 1.9× 410 3.6× 51 842
Philippe Maillard Brazil 13 73 0.4× 182 1.2× 226 1.7× 128 1.0× 282 2.5× 44 727

Countries citing papers authored by Fearghal O’Donncha

Since Specialization
Citations

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

Fields of papers citing papers by Fearghal O’Donncha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fearghal O’Donncha. 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 Fearghal O’Donncha. The network helps show where Fearghal O’Donncha may publish in the future.

Co-authorship network of co-authors of Fearghal O’Donncha

This figure shows the co-authorship network connecting the top 25 collaborators of Fearghal O’Donncha. A scholar is included among the top collaborators of Fearghal O’Donncha 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 Fearghal O’Donncha. Fearghal O’Donncha 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.
Liu, Jiangtao, Chaopeng Shen, Fearghal O’Donncha, et al.. (2025). From RNNs to Transformers: benchmarking deep learning architectures for hydrologic prediction. Hydrology and earth system sciences. 29(23). 6811–6828.
2.
Heimbach, Patrick, Fearghal O’Donncha, Timothy A. Smith, et al.. (2025). Crafting the Future: Machine learning for ocean forecasting. 1–1.
3.
O’Donncha, Fearghal, et al.. (2025). Agentic AI for Digital Twin. Proceedings of the AAAI Conference on Artificial Intelligence. 39(28). 29703–29705. 3 indexed citations
4.
5.
O’Donncha, Fearghal, et al.. (2024). Forecasting closures on shellfish farms using machine learning. Aquaculture International. 32(5). 5603–5623.
6.
7.
O’Donncha, Fearghal, et al.. (2021). Data Driven Insight Into Fish Behaviour and Their Use for Precision Aquaculture. SHILAP Revista de lepidopterología. 2. 32 indexed citations
8.
O’Donncha, Fearghal, et al.. (2021). Deployment and Management of Time Series Forecasts in Ocean Industry. 2021 IEEE International Conference on Big Data (Big Data). 11. 4091–4096. 1 indexed citations
9.
Wolff, Stefan, Fearghal O’Donncha, & Bei Chen. (2020). Statistical and machine learning ensemble modelling to forecast sea surface temperature. Journal of Marine Systems. 208. 103347–103347. 65 indexed citations
10.
Mareček, Jakub, et al.. (2020). Using deep learning to extend the range of air pollution monitoring and forecasting. Journal of Computational Physics. 408. 109278–109278. 39 indexed citations
11.
O’Donncha, Fearghal, Roman Iakymchuk, Philipp Gschwandtner, et al.. (2019). AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Computer Physics Communications. 251. 107089–107089. 7 indexed citations
12.
O’Donncha, Fearghal & Jon Grant. (2019). Precision Aquaculture. IEEE Internet of Things Magazine. 2(4). 26–30. 69 indexed citations
13.
O’Donncha, Fearghal, et al.. (2019). Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves. Journal of Marine Systems. 199. 103206–103206. 30 indexed citations
14.
Mareček, Jakub, et al.. (2018). Scaling up Deep Learning for PDE-based Models. arXiv (Cornell University). 2 indexed citations
15.
O’Donncha, Fearghal, et al.. (2018). An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts. Journal of Marine Systems. 186. 29–36. 39 indexed citations
16.
James, Scott, et al.. (2017). An ensemble-based approach that combines machine learning and numerical models to improve forecasts of wave conditions. 4 indexed citations
17.
James, Scott, Fearghal O’Donncha, & David R. Plew. (2016). Calibration of a 3D hydrodynamic aquaculture model. 1–7. 3 indexed citations
18.
O’Donncha, Fearghal, et al.. (2015). Numerical modelling study of the effects of suspended aquaculture farms on tidal stream energy generation. 17. 1–7. 3 indexed citations
19.
O’Donncha, Fearghal, Michael Hartnett, Stephen Nash, Lei Ren, & Emanuele Ragnoli. (2014). Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations. Journal of Marine Systems. 142. 96–110. 54 indexed citations
20.
O’Donncha, Fearghal, Emanuele Ragnoli, & Frank Suits. (2013). Parallelisation study of a three-dimensional environmental flow model. Computers & Geosciences. 64. 96–103. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zui Tao Breakdown of academic impact, for papers by Huping Ye Breakdown of academic impact, for papers by Guandong Gao Breakdown of academic impact, for papers by Shungudzemwoyo P. Garaba Breakdown of academic impact, for papers by Renato Mendes Breakdown of academic impact, for papers by Benjamin J. Williamson Breakdown of academic impact, for papers by Wenting Quan Breakdown of academic impact, for papers by Pengfei Shi Breakdown of academic impact, for papers by Philippe Maillard
Rankless by CCL
2026