Ultan McCarthy

1.1k total citations
12 papers, 744 citations indexed

About

Ultan McCarthy is a scholar working on Food Science, Information Systems and Animal Science and Zoology. According to data from OpenAlex, Ultan McCarthy has authored 12 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 4 papers in Information Systems and 3 papers in Animal Science and Zoology. Recurrent topics in Ultan McCarthy's work include Food Supply Chain Traceability (8 papers), QR Code Applications and Technologies (4 papers) and RFID technology advancements (3 papers). Ultan McCarthy is often cited by papers focused on Food Supply Chain Traceability (8 papers), QR Code Applications and Technologies (4 papers) and RFID technology advancements (3 papers). Ultan McCarthy collaborates with scholars based in Ireland, Spain and United States. Ultan McCarthy's co-authors include Ricardo Badia-Melis, Ismail Uysal, Luis Ruiz-García, José Ignacio Robla, Anastasia Ktenioudaki, Samuel Mercier, Colm P. O’Donnell, Javier García-Hierro, Bart Nicolaı̈ and Maarten Hertog and has published in prestigious journals such as Trends in Food Science & Technology, Journal of Food Engineering and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Ultan McCarthy

12 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ultan McCarthy Ireland 9 424 160 103 67 60 12 744
Ricardo Badia-Melis Spain 10 591 1.4× 192 1.2× 138 1.3× 67 1.0× 65 1.1× 11 922
Jianping Qian China 11 330 0.8× 86 0.5× 81 0.8× 62 0.9× 114 1.9× 32 593
Cristina Tortia Italy 13 348 0.8× 234 1.5× 47 0.5× 68 1.0× 93 1.6× 44 773
Maitri Thakur Norway 14 531 1.3× 73 0.5× 40 0.4× 120 1.8× 66 1.1× 34 787
Beilei Fan China 14 460 1.1× 197 1.2× 128 1.2× 26 0.4× 93 1.6× 27 814
Hana Trollman United Kingdom 15 305 0.7× 148 0.9× 89 0.9× 205 3.1× 79 1.3× 41 1.1k
Mark Swainson United Kingdom 13 261 0.6× 81 0.5× 36 0.3× 74 1.1× 106 1.8× 24 583
Manreet Bhullar United States 8 196 0.5× 173 1.1× 86 0.8× 33 0.5× 67 1.1× 24 715
Techane Bosona Sweden 15 554 1.3× 176 1.1× 44 0.4× 221 3.3× 120 2.0× 29 1.2k
Farah Bader United Kingdom 6 211 0.5× 86 0.5× 92 0.9× 86 1.3× 42 0.7× 6 602

Countries citing papers authored by Ultan McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Ultan McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ultan McCarthy

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

All Works

12 of 12 papers shown
1.
Pu, Yuanyuan, et al.. (2024). Quantification of macro-components in raw milk using micro NIR sensors. Journal of Food Composition and Analysis. 133. 106423–106423. 2 indexed citations
2.
McCarthy, Ultan, et al.. (2023). Potential of Raman spectroscopy for in-line measurement of raw milk composition. Food Control. 152. 109862–109862. 19 indexed citations
3.
Qian, Jianping, Luis Ruiz-García, Beilei Fan, et al.. (2020). Food traceability system from governmental, corporate, and consumer perspectives in the European Union and China: A comparative review. Trends in Food Science & Technology. 99. 402–412. 130 indexed citations
4.
McCarthy, Ultan, Ismail Uysal, Ricardo Badia-Melis, et al.. (2018). Global food security – Issues, challenges and technological solutions. Trends in Food Science & Technology. 77. 11–20. 231 indexed citations
5.
Badia-Melis, Ricardo, Ultan McCarthy, Luis Ruiz-García, Javier García-Hierro, & José Ignacio Robla. (2017). New trends in cold chain monitoring applications - A review. Food Control. 86. 170–182. 162 indexed citations
6.
Badia-Melis, Ricardo, Ultan McCarthy, & Ismail Uysal. (2016). Data estimation methods for predicting temperatures of fruit in refrigerated containers. Biosystems Engineering. 151. 261–272. 39 indexed citations
7.
Hertog, Maarten, et al.. (2014). Shelf life modelling for first-expired-first-out warehouse management. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 372(2017). 20130306–20130306. 116 indexed citations
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9.
Ktenioudaki, Anastasia, Francis Butler, Úrsula Gonzales-Barrón, Ultan McCarthy, & Eimear Gallagher. (2009). Monitoring the dynamic density of wheat dough during fermentation. Journal of Food Engineering. 95(2). 332–338. 13 indexed citations
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12.
McCarthy, Ultan, et al.. (2006). Electronic Tracking and Tracing in Food and Feed Traceability. Logforum. 2(2). 1–17. 7 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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