Meadhbh Moriarty

444 total citations
20 papers, 323 citations indexed

About

Meadhbh Moriarty is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Meadhbh Moriarty has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 11 papers in Global and Planetary Change and 9 papers in Nature and Landscape Conservation. Recurrent topics in Meadhbh Moriarty's work include Marine and fisheries research (9 papers), Fish Ecology and Management Studies (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Meadhbh Moriarty is often cited by papers focused on Marine and fisheries research (9 papers), Fish Ecology and Management Studies (8 papers) and Marine Bivalve and Aquaculture Studies (7 papers). Meadhbh Moriarty collaborates with scholars based in United Kingdom, Ireland and United States. Meadhbh Moriarty's co-authors include H. S. Sack, Debbi Pedreschi, Alexander G. Murray, David G. Reid, Simon P. R. Greenstreet, David L. Stokes, Eugene R. Nixon, Antony M. Knights, Christopher P. Lynam and Ronald J. Smith and has published in prestigious journals such as Journal of Applied Ecology, Biological Conservation and Marine Pollution Bulletin.

In The Last Decade

Meadhbh Moriarty

17 papers receiving 312 citations

Peers

Meadhbh Moriarty

ECOLO

GPC

NLC

POLLU

Eiji Tanaka Japan

Hongxin Su China

Younjoo Lee United States

Ana Teresa Marques Portugal

K. Suzuki Japan

Shuping Huang Taiwan

Evan M. Adams United States

Joshua T. Patterson United States

X.J. Li China

Eiji Tanaka Japan

Meadhbh Moriarty

77 ×0.7

ECOLO

103 ×1.0

GPC

34 ×0.4

57 ×0.9

NLC

20 ×0.4

POLLU

Citations per year, relative to Meadhbh Moriarty Meadhbh Moriarty (= 1×) peers Eiji Tanaka

Countries citing papers authored by Meadhbh Moriarty

Since Specialization

Citations

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

Fields of papers citing papers by Meadhbh Moriarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meadhbh Moriarty

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

Murray, Alexander G., Lars Asplin, Alejandro Gallego, et al.. (2025). “Knowledge Strength”: maximising the reliability of evidence derived from environmental modelling in the face of uncertainty – the case of the salmon louse (<i>Lepeophtheirus salmonis</i>). Socio-Environmental Systems Modeling. 7. 18750–18750.

Murray, Rory O’Hara, et al.. (2025). Particle tracking modelling in coastal marine environments: Recommended practices and performance limitations. Ecological Modelling. 501. 110999–110999.

Buckley, Yvonne M., et al.. (2024). Increased signal of fishing pressure on community life‐history traits at larger spatial scales. Global Ecology and Biogeography. 33(5). 4 indexed citations

Rabe, Benjamin, et al.. (2024). Searching for sea lice: surveillance to assess environmental infection pressures to model and inform sea lice infestation management. Aquaculture Environment Interactions. 16. 241–262. 1 indexed citations

Moriarty, Meadhbh, et al.. (2023). Modelling parasite impacts of aquaculture on wild fish: The case of the salmon louse (Lepeophtheirus salmonis) on out-migrating wild Atlantic salmon (Salmo salar) smolt. Preventive Veterinary Medicine. 214. 105888–105888. 6 indexed citations

Armstrong, J. D., et al.. (2023). Salmon lice loads on Atlantic salmon smolts associated with reduced welfare and increased population mortalities. Aquaculture Environment Interactions. 15. 73–83. 9 indexed citations

Moriarty, Meadhbh, et al.. (2023). Modelling assessment of how small-scale vertical movements of infectious sea lice larvae can affect their large-scale distribution in fjordic systems. Ecological Modelling. 488. 110587–110587. 3 indexed citations

Murray, Alexander G., et al.. (2021). A preliminary assessment of indirect impacts on aquaculture species health and welfare in Scotland during COVID-19 lockdown.. Veterinary and Animal Science. 11. 100167–100167. 14 indexed citations

Murray, Alexander G. & Meadhbh Moriarty. (2021). A simple modelling tool for assessing interaction with host and local infestation of sea lice from salmonid farms on wild salmonids based on processes operating at multiple scales in space and time. Ecological Modelling. 443. 109459–109459. 11 indexed citations

10.

Probst, Wolfgang, et al.. (2021). Identifying core areas for mobile species in space and time: A case study of the demersal fish community in the North Sea. Biological Conservation. 254. 108946–108946. 10 indexed citations

11.

Moriarty, Meadhbh, et al.. (2021). Bio-physical models for the management of micropathogens in Scottish aquaculture: a preliminary view to farming further offshore. Marine Ecology Progress Series. 679. 133–147. 1 indexed citations

12.

Thompson, Murray S. A., John K. Pinnegar, Simon P. R. Greenstreet, et al.. (2020). A feeding guild indicator to assess environmental change impacts on marine ecosystem structure and functioning. Journal of Applied Ecology. 57(9). 1769–1781. 23 indexed citations

13.

Moriarty, Meadhbh, et al.. (2020). Modelling temperature and fish biomass data to predict annual Scottish farmed salmon, Salmo salar L., losses: Development of an early warning tool. Preventive Veterinary Medicine. 178. 104985–104985. 11 indexed citations

14.

Moriarty, Meadhbh, Suresh A. Sethi, Debbi Pedreschi, et al.. (2019). Combining fisheries surveys to inform marine species distribution modelling. ICES Journal of Marine Science. 77(2). 539–552. 23 indexed citations

15.

Moriarty, Meadhbh, Simon P. R. Greenstreet, Jens Bødtker Rasmussen, & Ingeborg de Boois. (2019). Assessing the State of Demersal Fish to Address Formal Ecosystem Based Management Needs: Making Fisheries Independent Trawl Survey Data ‘Fit for Purpose’. Frontiers in Marine Science. 6. 7 indexed citations

16.

Pedreschi, Debbi, et al.. (2018). Integrated ecosystem analysis in Irish waters; Providing the context for ecosystem-based fisheries management. Fisheries Research. 209. 218–229. 29 indexed citations

17.

Moriarty, Meadhbh, Anne F. Sell, Verena M. Trenkel, et al.. (2018). Resolution of biodiversity and assemblage structure in demersal fisheries surveys: the role of tow duration. ICES Journal of Marine Science. 75(5). 1672–1681. 8 indexed citations

18.

Moriarty, Meadhbh, et al.. (2016). Spatial and temporal analysis of litter in the Celtic Sea from Groundfish Survey data: Lessons for monitoring. Marine Pollution Bulletin. 103(1-2). 195–205. 47 indexed citations

19.

Moriarty, Meadhbh, et al.. (2015). North Western Waters Atlas 3rd Edition. Marine Institute Open Access Repository (Marine Institute).

20.

Sack, H. S. & Meadhbh Moriarty. (1965). Low-temperature dielectric phenomena in doped ionic crystals. Solid State Communications. 3(5). 93–95. 116 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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