Matthew N. Dailey

3.7k total citations
110 papers, 2.5k citations indexed

About

Matthew N. Dailey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Matthew N. Dailey has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 13 papers in Aerospace Engineering. Recurrent topics in Matthew N. Dailey's work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Robotics and Sensor-Based Localization (12 papers). Matthew N. Dailey is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Robotics and Sensor-Based Localization (12 papers). Matthew N. Dailey collaborates with scholars based in Thailand, United States and Japan. Matthew N. Dailey's co-authors include Garrison W. Cottrell, David Carrera, Waheed Iqbal, Mongkol Ekpanyapong, Faisal Bukhari, Paul Janecek, Ralph Adolphs, Curtis Padgett, Peter Haddawy and Siriwan Suebnukarn and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Cognitive Neuroscience.

In The Last Decade

Matthew N. Dailey

103 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew N. Dailey Thailand 26 915 358 337 331 303 110 2.5k
Fatma M. Talaat Egypt 23 433 0.5× 352 1.0× 386 1.1× 184 0.6× 147 0.5× 62 1.8k
Teddy Surya Gunawan Malaysia 23 477 0.5× 401 1.1× 706 2.1× 292 0.9× 61 0.2× 283 2.6k
Mauridhi Hery Purnomo Indonesia 24 484 0.5× 134 0.4× 634 1.9× 329 1.0× 82 0.3× 510 3.1k
Paolo Napoletano Italy 26 1.4k 1.5× 322 0.9× 655 1.9× 107 0.3× 116 0.4× 108 2.7k
Ateeq Ur Rehman Pakistan 32 375 0.4× 469 1.3× 773 2.3× 282 0.9× 224 0.7× 240 3.4k
Kah Phooi Seng Malaysia 26 698 0.8× 738 2.1× 471 1.4× 199 0.6× 189 0.6× 166 2.5k
Gui‐Bin Bian China 26 726 0.8× 167 0.5× 356 1.1× 158 0.5× 49 0.2× 140 2.9k
Carlos M. Travieso Spain 31 1.3k 1.4× 85 0.2× 787 2.3× 373 1.1× 82 0.3× 286 4.0k
Simon Denman Australia 33 2.0k 2.2× 121 0.3× 1.2k 3.5× 79 0.2× 112 0.4× 169 3.7k
Gustavo Pessin Brazil 27 494 0.5× 448 1.3× 325 1.0× 119 0.4× 391 1.3× 129 2.4k

Countries citing papers authored by Matthew N. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew N. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew N. Dailey. 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 Matthew N. Dailey. The network helps show where Matthew N. Dailey may publish in the future.

Co-authorship network of co-authors of Matthew N. Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew N. Dailey. A scholar is included among the top collaborators of Matthew N. Dailey 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 Matthew N. Dailey. Matthew N. Dailey 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.
Dailey, Matthew N., et al.. (2025). Improving Noisy Face Embeddings Using Time Series Transformers and Adaptive Triplet Loss. IEEE Access. 13. 174254–174269.
2.
Songsaeng, Dittapong, et al.. (2025). Enhancing weakly supervised data augmentation networks for thyroid nodule assessment using traditional and doppler ultrasound images. Computers in Biology and Medicine. 196(Pt A). 110553–110553.
3.
Songsaeng, Dittapong, et al.. (2024). Diagnostic performance of artificial intelligence in interpreting thyroid nodules on ultrasound images: a multicenter retrospective study. Quantitative Imaging in Medicine and Surgery. 14(5). 3676–3694. 11 indexed citations
4.
Dailey, Matthew N., et al.. (2023). Video analytic system for activity profiling, fall detection, and unstable motion detection. Multimedia Tools and Applications. 82(27). 42395–42415. 2 indexed citations
5.
Dailey, Matthew N., et al.. (2021). Ontology-Based Framework for Cooperative Learning of 3D Object Recognition. Applied Sciences. 11(17). 8080–8080. 1 indexed citations
6.
Dailey, Matthew N., et al.. (2018). Helmet violation processing using deep learning. 1–4. 37 indexed citations
7.
Dailey, Matthew N., et al.. (2018). Customer and target individual face analysis for retail analytics. 1–4. 7 indexed citations
8.
Dailey, Matthew N., et al.. (2015). Joint localization and target tracking with a monocular camera. Robotics and Autonomous Systems. 74. 1–14. 2 indexed citations
9.
Dailey, Matthew N., et al.. (2010). Clustering human behaviors with dynamic time warping and hidden Markov models for a video surveillance system. International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 884–888. 5 indexed citations
10.
Iqbal, Waheed, et al.. (2010). Adaptive resource allocation for Back-end Mashup applications on a heterogeneous private cloud. International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 317–321. 10 indexed citations
11.
Dailey, Matthew N., Carrie A. Joyce, Michael J. Lyons, et al.. (2010). Evidence and a computational explanation of cultural differences in facial expression recognition.. Emotion. 10(6). 874–893. 120 indexed citations
12.
Dailey, Matthew N., et al.. (2009). Natural-pose hand detection in low-resolution images. SHILAP Revista de lepidopterología.
13.
Dailey, Matthew N., et al.. (2008). Probabilistic prediction of student affect from hand gestures. 58–63. 4 indexed citations
14.
Ziauddin, Sheikh & Matthew N. Dailey. (2008). Iris recognition performance enhancement using weighted majority voting. 277–280. 20 indexed citations
15.
Namprempre, Chanathip & Matthew N. Dailey. (2007). Mitigating Dictionary Attacks with Text-Graphics Character CAPTCHAs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(1). 179–186. 9 indexed citations
16.
Dailey, Matthew N. & Manukid Parnichkun. (2006). Simultaneous Localization and Mapping with Stereo Vision. 1–6. 21 indexed citations
17.
Dailey, Matthew N., Garrison W. Cottrell, & Ralph Adolphs. (2000). A Six-Unit Network is All You Need to Discover Happiness. eScholarship (California Digital Library). 22(22). 14 indexed citations
18.
Dailey, Matthew N. & Garrison W. Cottrell. (1999). Chapter 10 Prosopagnosia in modular neural network models. Progress in brain research. 121. 165–184. 2 indexed citations
19.
Dailey, Matthew N., Garrison W. Cottrell, & Thomas A. Busey. (1998). Facial Memory Is Kernel Density Estimation (Almost). Neural Information Processing Systems. 11. 24–30. 10 indexed citations
20.
Dailey, Matthew N. & Garrison W. Cottrell. (1997). Task and Spatial Frequency Effects on Face Specialization. Neural Information Processing Systems. 10. 17–23. 6 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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