James Sweeney

72 total papers · 1.2k total citations
28 papers, 620 citations indexed

About

James Sweeney is a scholar working on Agronomy and Crop Science, Signal Processing and Artificial Intelligence. According to data from OpenAlex, James Sweeney has authored 28 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Agronomy and Crop Science, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in James Sweeney's work include Veterinary Equine Medical Research (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Time Series Analysis and Forecasting (3 papers). James Sweeney is often cited by papers focused on Veterinary Equine Medical Research (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Time Series Analysis and Forecasting (3 papers). James Sweeney collaborates with scholars based in Ireland, United States and United Kingdom. James Sweeney's co-authors include Mohammadhossein Ghahramani, Adrian O’Hagan, Yan Qiao, Neil Burch, Richard J. Edwards, James McDermott, Andrew Parnell, Michael Salter‐Townshend, Armand V. Cardello and Ruairı́ Brugha and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

James Sweeney

28 papers receiving 597 citations

Author Peers

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

Author Last Decade Papers Cites
James Sweeney 103 100 86 66 49 28 620
Pengcheng Fang 70 0.7× 98 1.0× 55 0.6× 57 0.9× 101 2.1× 19 614
Saadat Hanif Dar 117 1.1× 118 1.2× 13 0.2× 33 0.5× 41 0.8× 21 777
Farzana Anowar 26 0.3× 174 1.7× 29 0.3× 63 1.0× 45 0.9× 14 644
Zhilong Zhang 27 0.3× 189 1.9× 24 0.3× 38 0.6× 44 0.9× 28 743
Farhad Ahamed 92 0.9× 88 0.9× 16 0.2× 43 0.7× 36 0.7× 37 594
Lothar M. Schmitt 38 0.4× 227 2.3× 68 0.8× 37 0.6× 16 0.3× 25 676
Mahmut Kaya 24 0.2× 254 2.5× 24 0.3× 34 0.5× 64 1.3× 21 656
Elena Hernández-Pereira 24 0.2× 237 2.4× 117 1.4× 84 1.3× 76 1.6× 31 770
R Muthukrishnan 43 0.4× 128 1.3× 20 0.2× 53 0.8× 24 0.5× 12 688
Spencer Graves 36 0.3× 109 1.1× 39 0.5× 33 0.5× 34 0.7× 24 790

Countries citing papers authored by James Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by James Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Sweeney

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