Iago Mosqueira

1.5k total citations
29 papers, 1.0k citations indexed

About

Iago Mosqueira is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Iago Mosqueira has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 15 papers in Nature and Landscape Conservation and 15 papers in Ecology. Recurrent topics in Iago Mosqueira's work include Marine and fisheries research (24 papers), Fish Ecology and Management Studies (14 papers) and Coral and Marine Ecosystems Studies (13 papers). Iago Mosqueira is often cited by papers focused on Marine and fisheries research (24 papers), Fish Ecology and Management Studies (14 papers) and Coral and Marine Ecosystems Studies (13 papers). Iago Mosqueira collaborates with scholars based in Italy, United Kingdom and Spain. Iago Mosqueira's co-authors include Isabelle M. Côté, John D. Reynolds, Nicholas K. Dulvy, Maria José Juan‐Jordá, Juan Freire, Laurence T. Kell, Andrew B. Cooper, Ernesto Jardim, Scott Finlay and Richard Hillary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.

In The Last Decade

Iago Mosqueira

28 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iago Mosqueira Italy 16 865 500 478 123 83 29 1.0k
Jon Helge Vølstad Norway 20 728 0.8× 483 1.0× 530 1.1× 84 0.7× 111 1.3× 52 1.0k
Carryn L De Moor South Africa 12 850 1.0× 452 0.9× 446 0.9× 75 0.6× 68 0.8× 38 974
Juan L. Valero United States 15 846 1.0× 442 0.9× 548 1.1× 180 1.5× 91 1.1× 39 1.1k
Victor Restrepo United States 20 1.1k 1.3× 662 1.3× 713 1.5× 181 1.5× 68 0.8× 54 1.4k
B.D. Mapstone Australia 20 783 0.9× 712 1.4× 481 1.0× 187 1.5× 127 1.5× 35 1.0k
José A. A. De Oliveira United Kingdom 15 1.1k 1.3× 507 1.0× 599 1.3× 75 0.6× 120 1.4× 22 1.3k
Bruce D. Mapstone Australia 18 676 0.8× 586 1.2× 452 0.9× 157 1.3× 64 0.8× 30 969
Cleridy E. Lennert‐Cody United States 20 765 0.9× 708 1.4× 474 1.0× 103 0.8× 149 1.8× 42 1.1k
Youen Vermard France 21 972 1.1× 539 1.1× 408 0.9× 51 0.4× 92 1.1× 52 1.1k
David B. Sampson United States 16 727 0.8× 362 0.7× 454 0.9× 118 1.0× 70 0.8× 39 905

Countries citing papers authored by Iago Mosqueira

Since Specialization
Citations

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

Fields of papers citing papers by Iago Mosqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iago Mosqueira

This figure shows the co-authorship network connecting the top 25 collaborators of Iago Mosqueira. A scholar is included among the top collaborators of Iago Mosqueira 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 Iago Mosqueira. Iago Mosqueira 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.
Kell, Laurence T., Massimiliano Cardinale, Iago Mosqueira, Henning Winker, & Rishi Sharma. (2025). Transforming Data and Capacity-Limited Stock Assessment: Achieving Risk Equivalence with Hierarchical Assessment Frameworks and Auxiliary Data. Sustainability. 17(21). 9383–9383.
2.
Tidd, Alex, et al.. (2024). Equitable pathways for sustainable tuna fisheries management in the Indian Ocean. Marine Policy. 173. 106563–106563. 1 indexed citations
3.
Kell, Laurence T., Iago Mosqueira, Henning Winker, et al.. (2024). Empirical validation of integrated stock assessment models to ensuring risk equivalence: A pathway to resilient fisheries management. PLoS ONE. 19(7). e0302576–e0302576. 2 indexed citations
4.
Goto, Daisuke, Jennifer A. Devine, José A. A. De Oliveira, et al.. (2022). Shaping sustainable harvest boundaries for marine populations despite estimation bias. Ecosphere. 13(2). 4 indexed citations
5.
Goto, Daisuke, et al.. (2022). Evaluation of harvest control rules for a group of interacting commercial stocks using a multispecies MSE framework. Canadian Journal of Fisheries and Aquatic Sciences. 79(8). 1302–1320. 8 indexed citations
6.
Jardim, Ernesto, Manuela Azevedo, Jon Brodziak, et al.. (2021). Operationalizing ensemble models for scientific advice to fisheries management. ICES Journal of Marine Science. 78(4). 1209–1216. 18 indexed citations
7.
Kell, Laurence T., Rishi Sharma, Toshihide Kitakado, et al.. (2021). Validation of stock assessment methods: is it me or my model talking?. ICES Journal of Marine Science. 78(6). 2244–2255. 36 indexed citations
8.
Vasilakopoulos, Paraskevas, Ernesto Jardim, Dominic Rihan, et al.. (2020). Selectivity metrics for fisheries management and advice. Fish and Fisheries. 21(3). 621–638. 17 indexed citations
9.
Sharma, Rishi, Polina Levontin, Toshihide Kitakado, et al.. (2020). Operating model design in tuna Regional Fishery Management Organizations: Current practice, issues and implications. Fish and Fisheries. 21(5). 940–961. 17 indexed citations
10.
Jardim, Ernesto, Margit Eero, Alexandra Silva, et al.. (2018). Testing spatial heterogeneity with stock assessment models. PLoS ONE. 13(1). e0190791–e0190791. 9 indexed citations
11.
Anderson, Sean C., Andrew B. Cooper, Olaf P. Jensen, et al.. (2017). Improving estimates of population status and trend with superensemble models. Fish and Fisheries. 18(4). 732–741. 65 indexed citations
12.
Juan‐Jordá, Maria José, et al.. (2016). Global scombrid life history dataset. Ecology. 1 indexed citations
13.
Fogarty, Michael J., Andrew A. Rosenberg, Andrew B. Cooper, et al.. (2016). Fishery production potential of large marine ecosystems: A prototype analysis. Environmental Development. 17. 211–219. 18 indexed citations
14.
Juan‐Jordá, Maria José, et al.. (2016). Global scombrid life history data set. Ecology. 97(3). 809–809. 11 indexed citations
15.
Millar, Colin, et al.. (2014). Model averaging to streamline the stock assessment process. ICES Journal of Marine Science. 72(1). 93–98. 16 indexed citations
16.
Juan‐Jordá, Maria José, Iago Mosqueira, Juan Freire, & Nicholas K. Dulvy. (2013). The Conservation and Management of Tunas and Their Relatives: Setting Life History Research Priorities. PLoS ONE. 8(8). e70405–e70405. 39 indexed citations
17.
Juan‐Jordá, Maria José, Iago Mosqueira, Juan Freire, & Nicholas K. Dulvy. (2012). Life in 3-D: life history strategies in tunas, mackerels and bonitos. Reviews in Fish Biology and Fisheries. 23(2). 135–155. 48 indexed citations
18.
Mosqueira, Iago, et al.. (2010). The framework and utility of an MSE evaluation for yello wfin tuna (Thunnus albacares) in the Indian Ocean region. 1 indexed citations
19.
Molloy, Philip P., John D. Reynolds, Matthew J. G. Gage, Iago Mosqueira, & Isabelle M. Côté. (2007). Links between sex change and fish densities in marine protected areas. Biological Conservation. 141(1). 187–197. 27 indexed citations
20.
Mosqueira, Iago, et al.. (2006). MULTI-SPECIES ASSESSMENT OF TUNAS CAUGHT IN THE TROPICAL ATLANTIC PURSE SEINE FISHERY: SENSITIVITY OF PRODUCTION MODELS TO BIASES IN REPORTED CATCHES. SPIRE - Sciences Po Institutional REpository. 59(2). 546–554. 2 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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