James Sweeney

1.2k total citations
28 papers, 622 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 622 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), Tree-ring climate responses (3 papers) and Genetic and phenotypic traits in livestock (3 papers). James Sweeney is often cited by papers focused on Veterinary Equine Medical Research (4 papers), Tree-ring climate responses (3 papers) and Genetic and phenotypic traits in livestock (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, Armand V. Cardello, Ruairı́ Brugha and Michael Salter‐Townshend 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 600 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Sweeney Ireland	13	103	100	86	67	49	28	622
Martin Kampel Austria	19	69 0.7×	110 1.1×	20 0.2×	93 1.4×	31 0.6×	119	1.2k
Saadat Hanif Dar Pakistan	14	122 1.2×	119 1.2×	13 0.2×	34 0.5×	41 0.8×	21	786
Rehanullah Khan Pakistan	12	63 0.6×	211 2.1×	18 0.2×	96 1.4×	70 1.4×	32	1.1k
Geoff Nitschke South Africa	10	41 0.4×	299 3.0×	27 0.3×	45 0.7×	22 0.4×	74	724
Spencer Graves United States	9	36 0.3×	109 1.1×	40 0.5×	34 0.5×	34 0.7×	24	795
María Teresa García-Ordás Spain	16	97 0.9×	202 2.0×	21 0.2×	50 0.7×	68 1.4×	47	727
Yongxin Zhang China	15	35 0.3×	66 0.7×	15 0.2×	44 0.7×	72 1.5×	81	760
Rahul Chauhan India	10	22 0.2×	186 1.9×	22 0.3×	45 0.7×	36 0.7×	229	767
Min Zheng China	11	79 0.8×	60 0.6×	40 0.5×	95 1.4×	56 1.1×	29	594
Xiaoxu Li China	17	53 0.5×	667 6.7×	15 0.2×	63 0.9×	49 1.0×	71	1.4k

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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20 of 20 papers shown

1.

Madden, Jamie M., Miriam Casey-Bryars, James Sweeney, et al.. (2024). The impact of changing the cut-off threshold of the interferon-gamma (IFN-γ) assay for diagnosing bovine tuberculosis in Ireland. Preventive Veterinary Medicine. 224. 106129–106129. 3 indexed citations

2.

Sweeney, James, et al.. (2023). Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13951–13962. 4 indexed citations

3.

Ghahramani, Mohammadhossein, Adrian O’Hagan, MengChu Zhou, & James Sweeney. (2021). Intelligent Geodemographic Clustering Based on Neural Network and Particle Swarm Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3746–3756. 21 indexed citations

4.

Madden, Jamie M., et al.. (2021). Spatio-temporal models of bovine tuberculosis in the Irish cattle population, 2012-2019. Spatial and Spatio-temporal Epidemiology. 39. 100441–100441. 10 indexed citations

5.

Dempsey, D. G., et al.. (2021). An age-structured SEIR model for COVID-19 incidence in Dublin, Ireland with framework for evaluating health intervention cost. PLoS ONE. 16(12). e0260632–e0260632. 11 indexed citations

6.

Sweeney, James, Tanya Dutta, Mala Sharma, et al.. (2021). Variations in Mitral Valve Leaflet and Scallop Anatomy on Three-Dimensional Transesophageal Echocardiography. Journal of the American Society of Echocardiography. 35(1). 77–85. 6 indexed citations

7.

Sweeney, James, et al.. (2021). Feature extraction by grammatical evolution for one-class time series classification. Genetic Programming and Evolvable Machines. 22(3). 267–295. 5 indexed citations

8.

O’Gorman, Joanne, Patrick J. Gavin, Matthew Dryden, et al.. (2020). The clinical presentation, treatment and outcome of serologically confirmed paediatric Lyme disease in the Republic of Ireland over a 5-year period: a retrospective cohort study. European Journal of Clinical Microbiology & Infectious Diseases. 40(4). 725–734. 7 indexed citations

9.

Katz, Lisa M., et al.. (2020). Inspiratory muscle training in young, race-fit Thoroughbred racehorses during a period of detraining. PLoS ONE. 15(4). e0225559–e0225559. 4 indexed citations

10.

Brugha, Ruairı́, et al.. (2020). Doctor Retention: A Cross-sectional Study of How Ireland Has Been Losing the Battle. International Journal of Health Policy and Management. 10(6). 299–309. 23 indexed citations

11.

O’Hagan, Adrian, et al.. (2020). A spatial machine learning model for analysing customers’ lapse behaviour in life insurance. Annals of Actuarial Science. 1–27. 12 indexed citations

12.

Sweeney, James, et al.. (2019). Dissimilarity-based representations for one-class classification on time series. Pattern Recognition. 100. 107122–107122. 19 indexed citations

13.

Sweeney, James, Michael Salter‐Townshend, Tamsin Edwards, Caitlin E. Buck, & Andrew Parnell. (2018). Statistical challenges in estimating past climate changes. Wiley Interdisciplinary Reviews Computational Statistics. 10(5). 13 indexed citations

14.

Sweeney, James, et al.. (2018). Serial evaluation of resting and exercising overground endoscopic examination results in young Thoroughbreds with no treatment intervention. Equine Veterinary Journal. 51(2). 192–197. 8 indexed citations

15.

Parnell, Andrew, James Sweeney, Michael Salter‐Townshend, et al.. (2014). Bayesian Inference for Palaeoclimate with time Uncertainty and Stochastic Volatility. Journal of the Royal Statistical Society Series C (Applied Statistics). 64(1). 115–138. 21 indexed citations

16.

Shang, Yan, et al.. (2006). Segmentation of 4D Cardiac Images: Investigation on Statistical Shape Models. PubMed. 2006. 3086–3089. 3 indexed citations

17.

Cardello, Armand V., et al.. (1982). The Standard Scales of Texture: Rescaling by Magnitude Estimation. Journal of Food Science. 47(5). 1738–1740. 17 indexed citations

18.

Burch, Neil, et al.. (1964). PERIOD ANALYSIS OF THE ELECTROENCEPHALOGRAM ON A GENERAL‐PURPOSE DIGITAL COMPUTER*. Annals of the New York Academy of Sciences. 115(2). 827–843. 81 indexed citations

19.

Burch, Neil, et al.. (1964). PERIOD ANALYSIS OF THE ELECTROENCEPHALOGRAM ON A GENERAL‐PURPOSE DIGITAL COMPUTER*. Annals of the New York Academy of Sciences. 115(2). 827–843. 36 indexed citations

20.

Sweeney, James, et al.. (1961). A COMPARISON OF QUICKENED AND UNQUICKENED DISPLAYS FOR THE MONITORING OF VEHICLE PERFORMANCE UNDER FULL AUTOMATIC CONTROL. Defense Technical Information Center (DTIC). 1 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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