Aisling J. Daly

46 total papers · 581 total citations
23 papers, 359 citations indexed

About

Aisling J. Daly is a scholar working on Ecology, Sociology and Political Science and Computational Theory and Mathematics. According to data from OpenAlex, Aisling J. Daly has authored 23 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 6 papers in Sociology and Political Science and 5 papers in Computational Theory and Mathematics. Recurrent topics in Aisling J. Daly's work include Evolutionary Game Theory and Cooperation (6 papers), Evolution and Genetic Dynamics (5 papers) and Cellular Automata and Applications (4 papers). Aisling J. Daly is often cited by papers focused on Evolutionary Game Theory and Cooperation (6 papers), Evolution and Genetic Dynamics (5 papers) and Cellular Automata and Applications (4 papers). Aisling J. Daly collaborates with scholars based in Belgium, Indonesia and Canada. Aisling J. Daly's co-authors include Jan Baetens, Bernard De Baets, L. McIlreavey, Chris R. Irwin, Inge Huybrechts, Dirk Springael, Giles Hanley‐Cook, Andrew D. Jones, Roseline Remans and Nico Boon and has published in prestigious journals such as Environmental Science & Technology, Chemical Engineering Journal and Ecology Letters.

In The Last Decade

Aisling J. Daly

23 papers receiving 355 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aisling J. Daly 89 63 49 45 43 23 359
John L. Creech 83 0.9× 41 0.7× 43 0.9× 35 0.8× 87 2.0× 16 396
Anna Maria Testi 56 0.6× 78 1.2× 72 1.5× 35 0.8× 61 1.4× 41 387
Mitsuko Takahashi 44 0.5× 90 1.4× 34 0.7× 36 0.8× 17 0.4× 43 390
Haruka Ito 114 1.3× 95 1.5× 60 1.2× 42 0.9× 32 0.7× 35 354
Sujani Madhurika Kodagoda Gamage 37 0.4× 80 1.3× 117 2.4× 75 1.7× 24 0.6× 22 365
Daniela Ottaviani 170 1.9× 27 0.4× 67 1.4× 57 1.3× 25 0.6× 13 357
Nicolas Alcala 81 0.9× 58 0.9× 45 0.9× 21 0.5× 27 0.6× 23 295
Yunfeng Song 51 0.6× 172 2.7× 47 1.0× 35 0.8× 48 1.1× 20 367
Arseniy S. Karkach 54 0.6× 95 1.5× 37 0.8× 35 0.8× 42 1.0× 12 325
Louise Puslednik 171 1.9× 52 0.8× 29 0.6× 64 1.4× 19 0.4× 15 343

Countries citing papers authored by Aisling J. Daly

Since Specialization
Citations

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

Fields of papers citing papers by Aisling J. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aisling J. Daly. 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 Aisling J. Daly. The network helps show where Aisling J. Daly may publish in the future.

Co-authorship network of co-authors of Aisling J. Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Aisling J. Daly. A scholar is included among the top collaborators of Aisling J. Daly 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 Aisling J. Daly. Aisling J. Daly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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