Ray Scanlon

900 total citations
11 papers, 202 citations indexed

About

Ray Scanlon is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ray Scanlon has authored 11 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiological and Ultrasound Technology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ray Scanlon's work include Geochemistry and Geologic Mapping (6 papers), Radioactivity and Radon Measurements (5 papers) and Radioactive contamination and transfer (2 papers). Ray Scanlon is often cited by papers focused on Geochemistry and Geologic Mapping (6 papers), Radioactivity and Radon Measurements (5 papers) and Radioactive contamination and transfer (2 papers). Ray Scanlon collaborates with scholars based in Ireland, Norway and Denmark. Ray Scanlon's co-authors include Javier Elío, Quentin Crowley, Stephanie Long, Lina Zgaga, Patrick O’Connor, Paul Harris, Rolf Tore Ottesen, R. M. Lark, E. Louise Ander and Mark Cave and has published in prestigious journals such as The Science of The Total Environment, Environment International and Bulletin of the American Meteorological Society.

In The Last Decade

Ray Scanlon

11 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ray Scanlon Ireland	6	122	72	47	39	38	11	202
E. Gören Türkiye	11	242 2.0×	42 0.6×	69 1.5×	86 2.2×	41 1.1×	17	323
Ajka Šorša Croatia	6	63 0.5×	51 0.7×	69 1.5×	16 0.4×	16 0.4×	17	166
Ljiljana Gulan Serbia	11	254 2.1×	52 0.7×	114 2.4×	96 2.5×	69 1.8×	28	349
Fernando Carlos Araújo Ribeiro Brazil	10	251 2.1×	41 0.6×	36 0.8×	131 3.4×	34 0.9×	22	315
Ali Saleh Egypt	8	34 0.3×	51 0.7×	79 1.7×	30 0.8×	5 0.1×	11	338
Jelena M. Stajić Serbia	11	282 2.3×	43 0.6×	121 2.6×	118 3.0×	65 1.7×	31	418
José Marques Lopes Brazil	12	208 1.7×	12 0.2×	97 2.1×	156 4.0×	74 1.9×	40	367
E.R.R. Rochedo Brazil	11	262 2.1×	14 0.2×	34 0.7×	157 4.0×	62 1.6×	28	381
Ivan Bešlić Croatia	10	36 0.3×	10 0.1×	64 1.4×	54 1.4×	3 0.1×	47	383
Xinyao Fan China	9	102 0.8×	87 1.2×	258 5.5×	3 0.1×		14	325

Countries citing papers authored by Ray Scanlon

Since Specialization

Citations

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

Fields of papers citing papers by Ray Scanlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Scanlon

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

All Works

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11 of 11 papers shown

Braiden, Aoife, et al.. (2020). Relevant and flexible geosurveys: how Geological Survey Ireland is adapting. Geological Society London Special Publications. 499(1). 119–128. 2 indexed citations

Elío, Javier, et al.. (2020). Application of airborne radiometric surveys for large-scale geogenic radon potential classification. VBN Forskningsportal (Aalborg Universitet). 13 indexed citations

Elío, Javier, et al.. (2019). Rapid radon potential classification using soil-gas radon measurements in the Cooley Peninsula, County Louth, Ireland. Environmental Earth Sciences. 78(12). 12 indexed citations

Elío, Javier, et al.. (2018). Estimation of residential radon exposure and definition of Radon Priority Areas based on expected lung cancer incidence. Environment International. 114. 69–76. 51 indexed citations

Elío, Javier, et al.. (2017). Logistic regression model for detecting radon prone areas in Ireland. The Science of The Total Environment. 599-600. 1317–1329. 41 indexed citations

Lawrence, David, et al.. (2014). COST Action TU1206 "SUB-URBAN - A European network to improve understanding and use of the ground beneath our cities". EGU General Assembly Conference Abstracts. 11333. 1 indexed citations

Lark, R. M., et al.. (2014). Mapping trace element deficiency by cokriging from regional geochemical soil data: A case study on cobalt for grazing sheep in Ireland. Geoderma. 226-227. 64–78. 30 indexed citations

Harris, Paul, et al.. (2013). The Dublin SURGE Project: geochemical baseline for heavy metals in topsoils and spatial correlation with historical industry in Dublin, Ireland. Environmental Geochemistry and Health. 36(2). 235–254. 45 indexed citations

Andersson, Malin, Ray Scanlon, Patrick O’Connor, et al.. (2011). Arsenic, heavy metals, PAHs and PCBs in surface soils from Dublin, Ireland. 1 indexed citations

10.

Scanlon, Ray, J. Stephen Daly, & Martin J. Whitehouse. (2003). The c. 1.8 Ga Stanton Banks Terrane, offshore western Scotland, a large juvenile Palaeoproterozoic crustal block within the accretionary Lewisian complex. EAEJA. 13248. 4 indexed citations

11.

Scanlon, Ray, et al.. (1980). focus on forecasting. Bulletin of the American Meteorological Society. 61(3). 197–211. 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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