Niall McLaughlin

1.8k total citations · 2 hit papers
27 papers, 1.2k citations indexed

About

Niall McLaughlin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Niall McLaughlin has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Niall McLaughlin's work include Video Surveillance and Tracking Methods (10 papers), Advanced Malware Detection Techniques (7 papers) and Human Pose and Action Recognition (6 papers). Niall McLaughlin is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Advanced Malware Detection Techniques (7 papers) and Human Pose and Action Recognition (6 papers). Niall McLaughlin collaborates with scholars based in United Kingdom, Canada and United States. Niall McLaughlin's co-authors include Jesús Martínez del Rincón, Paul Miller, Ziming Zhao, Sakir Sezer, BooJoong Kang, Suleiman Y. Yerima, Adam Doupé, Gail‐Joon Ahn, Danny Crookes and Ji Ming and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Niall McLaughlin

27 papers receiving 1.1k citations

Hit Papers

Recurrent Convolutional Network for Video-Based Person Re... 2016 2026 2019 2022 2016 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recurrent Convolutional Network for Video-Based Person Re-identification
    2016 397 citations Niall McLaughlin, Jesús Martínez del Rincón et al. Research Portal (Queen's University Belfast) profile →
  2. Deep Android Malware Detection
    2017 325 citations Niall McLaughlin, Jesús Martínez del Rincón et al. Research Portal (Queen's University Belfast) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niall McLaughlin United Kingdom 13 599 471 391 289 226 27 1.2k
Ulrik Pagh Schultz Denmark 14 88 0.1× 31 0.1× 233 0.6× 94 0.3× 407 1.8× 102 1.1k
Ziyi Zhang China 13 151 0.3× 97 0.2× 110 0.3× 21 0.1× 76 0.3× 59 469
Jiahao Li China 13 774 1.3× 431 0.9× 34 0.1× 23 0.1× 101 0.4× 55 999
Karthik Dantu United States 16 292 0.5× 97 0.2× 655 1.7× 36 0.1× 78 0.3× 89 1.2k
Matthieu Herrb France 11 297 0.5× 27 0.1× 130 0.3× 47 0.2× 159 0.7× 18 584
Gurjit Singh Walia India 16 591 1.0× 275 0.6× 67 0.2× 55 0.2× 176 0.8× 45 799
Mouayad A. Sahib Iraq 10 156 0.3× 32 0.1× 124 0.3× 51 0.2× 102 0.5× 22 699
Prabhat Ranjan India 13 208 0.3× 28 0.1× 184 0.5× 27 0.1× 113 0.5× 77 599
Libo Huang China 15 192 0.3× 36 0.1× 202 0.5× 58 0.2× 100 0.4× 115 779

Countries citing papers authored by Niall McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Niall McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niall McLaughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Niall McLaughlin. A scholar is included among the top collaborators of Niall McLaughlin 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 Niall McLaughlin. Niall McLaughlin 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.
McLaughlin, Niall, et al.. (2025). Re-identification for long-term tracking and management of health and welfare challenges in pigs. Biosystems Engineering. 251. 89–100. 1 indexed citations
2.
Miller, Paul, Sean A. Irvine, Jesús Martínez del Rincón, et al.. (2025). Automated precision weighing: Leveraging 2D video feature analysis and machine learning for live body weight estimation of broiler chickens. Smart Agricultural Technology. 10. 100793–100793. 3 indexed citations
3.
McLaughlin, Niall, et al.. (2025). Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis. 10235–10243. 1 indexed citations
4.
Miller, Paul, et al.. (2024). A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. Computers and Electronics in Agriculture. 217. 108591–108591. 15 indexed citations
5.
McLaughlin, Niall, et al.. (2024). Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events. Research Portal (Queen's University Belfast). 7080–7088. 1 indexed citations
6.
Miller, Paul, et al.. (2024). Hard-label based Small Query Black-box Adversarial Attack. Research Portal (Queen's University Belfast). 3974–3983. 6 indexed citations
7.
McLaughlin, Niall, et al.. (2023). Vehicle Damage Severity Estimation for Insurance Operations Using In-The-Wild Mobile Images. IEEE Access. 11. 78644–78655. 11 indexed citations
8.
McLaughlin, Niall, et al.. (2021). Towards Explainable CNNs for Android Malware Detection. Procedia Computer Science. 184. 959–965. 45 indexed citations
9.
McLaughlin, Niall, et al.. (2021). Multi-view deep learning for zero-day Android malware detection. Journal of Information Security and Applications. 58. 102718–102718. 59 indexed citations
10.
McLaughlin, Niall, Jesús Martínez del Rincón, & Paul Miller. (2020). 3-D Human Pose Estimation Using Iterative Conditional Squeeze and Excitation Networks. IEEE Transactions on Cybernetics. 52(1). 687–699. 15 indexed citations
11.
McLaughlin, Niall, et al.. (2020). DANdroid. 353–364. 40 indexed citations
12.
McLaughlin, Niall, Jesús Martínez del Rincón, & Paul Miller. (2016). Recurrent Convolutional Network for Video-Based Person Re-identification. Research Portal (Queen's University Belfast). 1325–1334. 397 indexed citations breakdown →
13.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2016). Largest Matching Areas for Illumination and Occlusion Robust Face Recognition. IEEE Transactions on Cybernetics. 47(3). 796–808. 39 indexed citations
14.
McLaughlin, Niall, Jesús Martínez del Rincón, & Paul Miller. (2015). Data-augmentation for reducing dataset bias in person re-identification. Research Portal (Queen's University Belfast). 1–6. 66 indexed citations
15.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2013). Robust Multimodal Person Identification With Limited Training Data. IEEE Transactions on Human-Machine Systems. 43(2). 214–224. 12 indexed citations
16.
McLaughlin, Niall, Jesús Martínez del Rincón, & Paul Miller. (2013). Online multiperson tracking with occlusion reasoning and unsupervised track motion model. Research Portal (Queen's University Belfast). 37–42. 3 indexed citations
17.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2012). Illumination invariant facial recognition using a piecewise-constant lighting model. Research Portal (Queen's University Belfast). 1537–1540. 4 indexed citations
18.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2011). Speaker recognition in noisy conditions with limited training data. Research Portal (Queen's University Belfast). 1294–1298. 4 indexed citations
19.
McLaughlin, Niall & Rachel Ogilvie. (2006). Simulation of nitrate loss in tile flow for central canadian conditions. 48. 3 indexed citations
20.

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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