Daniel Riordan

2.2k total citations
61 papers, 721 citations indexed

About

Daniel Riordan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Daniel Riordan has authored 61 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Daniel Riordan's work include Fault Detection and Control Systems (7 papers), Food Supply Chain Traceability (6 papers) and Robotics and Sensor-Based Localization (6 papers). Daniel Riordan is often cited by papers focused on Fault Detection and Control Systems (7 papers), Food Supply Chain Traceability (6 papers) and Robotics and Sensor-Based Localization (6 papers). Daniel Riordan collaborates with scholars based in Ireland, Canada and United Kingdom. Daniel Riordan's co-authors include J. L. Walsh, Niall O’Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpálková, Conor Ryan, Aidan Murphy, Gustavo Velasco-Hernandez, Anshul Awasthi and David Crane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Sensors.

In The Last Decade

Daniel Riordan

57 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Riordan Ireland 13 191 118 98 96 94 61 721
Dewei Yi United Kingdom 14 174 0.9× 220 1.9× 160 1.6× 44 0.5× 100 1.1× 31 946
Niall O’Mahony Ireland 12 178 0.9× 117 1.0× 30 0.3× 85 0.9× 68 0.7× 29 494
Miguel Torres‐Torriti Chile 19 282 1.5× 111 0.9× 273 2.8× 138 1.4× 84 0.9× 79 969
Alfonso Gómez-Espinosa Mexico 17 130 0.7× 88 0.7× 99 1.0× 148 1.5× 133 1.4× 43 1.1k
António Valente Portugal 18 193 1.0× 28 0.2× 276 2.8× 108 1.1× 252 2.7× 111 1.2k
Zhuo Zhang China 18 342 1.8× 31 0.3× 131 1.3× 78 0.8× 198 2.1× 74 938
Jing Xin China 16 476 2.5× 26 0.2× 209 2.1× 171 1.8× 97 1.0× 79 1.1k
Ata Jahangir Moshayedi China 19 251 1.3× 61 0.5× 42 0.4× 61 0.6× 159 1.7× 85 1000
Yanmei Meng China 15 115 0.6× 63 0.5× 99 1.0× 34 0.4× 63 0.7× 67 650
Luis Emmi Spain 16 99 0.5× 55 0.5× 581 5.9× 93 1.0× 65 0.7× 32 927

Countries citing papers authored by Daniel Riordan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Riordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Riordan

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

All Works

20 of 20 papers shown
1.
Çalışkan, Abdullah, J. L. Walsh, & Daniel Riordan. (2024). River Network Biological Monitoring With AI. IEEE Technology and Society Magazine. 43(3). 72–80.
2.
Carvalho, Anderson, Daniel Riordan, & J. L. Walsh. (2024). A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud. Future Internet. 16(4). 111–111. 3 indexed citations
3.
Çalışkan, Abdullah, et al.. (2023). An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing. Sustainability. 15(12). 9272–9272. 1 indexed citations
4.
Çalışkan, Abdullah, Daniel Riordan, & J. L. Walsh. (2023). The Biomonitoring of Ireland's River Network Using a 1D Convolution Neural Network. 15. 1–4. 1 indexed citations
5.
O’Mahony, Niall, et al.. (2022). Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring. SHILAP Revista de lepidopterología. 4(1). 1–25. 3 indexed citations
6.
Campbell, Sean, Niall O’Mahony, Anderson Carvalho, et al.. (2020). Where am I? Localization techniques for Mobile Robots A Review. 43–47. 11 indexed citations
7.
O’Mahony, Niall, et al.. (2019). Autonomous Navigation of mobile robots in factory environment. Procedia Manufacturing. 38. 1524–1531. 28 indexed citations
8.
Walsh, J. L., et al.. (2019). Closed loop process control for precision farming: An Agriculture 4.0 perspective. University of Limerick Institutional Repository (University of Limerick). 1–6. 8 indexed citations
9.
Campbell, Sean, Niall O’Mahony, Daniel Riordan, et al.. (2018). Sensor Technology in Autonomous Vehicles : A review. 1–4. 165 indexed citations
10.
O’Mahony, Niall, et al.. (2017). Real-time monitoring of powder blend composition using near infrared spectroscopy. 1–6. 6 indexed citations
11.
Riordan, Daniel. (2017). Forensic psychotherapy. Australasian Psychiatry. 25(3). 227–229. 2 indexed citations
12.
Awasthi, Anshul, et al.. (2016). Non-Invasive Sensor Technology for the Development of a Dairy Cattle Health Monitoring System. Computers. 5(4). 23–23. 28 indexed citations
13.
O’Mahony, Niall, et al.. (2016). Smart sensors for process analytical technology. Zenodo (CERN European Organization for Nuclear Research). 1005–1010. 3 indexed citations
14.
O’Mahony, Niall, et al.. (2016). Adaptive process control and sensor fusion for process analytical technology. Zenodo (CERN European Organization for Nuclear Research). 1–6. 14 indexed citations
15.
16.
Biales, Adam, Debra L. Denton, Daniel Riordan, et al.. (2015). Complex watersheds, collaborative teams: Assessing pollutant presence and effects in the San Francisco Delta. Integrated Environmental Assessment and Management. 11(4). 674–688. 11 indexed citations
17.
Rahman, Atiqur, et al.. (2011). The fast Fourier transform applied to estimate wave energy spectral density in random sea state. WIT transactions on the built environment. 1. 133–144. 5 indexed citations
18.
Riordan, Daniel, et al.. (2007). An Artificial Neural Network Implementation of the Frequency to Critical-Band Rate Conversion.. 225–228. 1 indexed citations
19.
Riordan, Daniel, et al.. (2007). An Alternative Method for the Estimation of the Perceptual Loudness Measure.. 342. 222–224. 1 indexed citations
20.
Riordan, Daniel, et al.. (1991). Ecological applications using a novel expert system shell. Computer applications in the biosciences. 7(1). 79–83. 10 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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