Matthew N. Dailey

3.7k citations
110 papers · 2.5k · h-index 26

Impact in

Papers in

Matthew N. Dailey

103 papers receiving 2.3k citations

Peers

Matthew N. Dailey
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 915
  • General Dentistry 68
  • Media Technology 176
  • Computer Networks and Communications 358
  • Experimental and Cognitive Psychology 204
Replace Antoni B. Chan with:
Antoni B. Chan Hong Kong
Daniela Giordano Italy
Shaoyi Du China
Nikolaos Papanikolopoulos United States
Hoshang Kolivand United Kingdom
Carlos E. Galván-Tejada Mexico
Massimo Piccardi Australia
Pawan Kumar Singh India
David Fernández Llorca Spain
Khaled Assaleh United Arab Emirates
Matthew N. Dailey relative to Antoni B. Chan Hong Kong Antoni B. Chan's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Matthew N. Dailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew N. Dailey Line = papers co-authored together Matthew N. Dailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010190
2 2002179
3 2010120
4 2016111
5 2012104
6 199990
7 201482
8 201480
9 200977
10 202176
11 200876
12 201675
13 201173
14 201261
15 201555
16 201046
17 201146
18 201643
19
Automatic Exudate Detection with a Naive Bayes Classifier
200842
20 201041

About Matthew N. Dailey

Matthew N. Dailey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Human-Computer Interaction and Information Systems, having authored 110 papers that have together received 2.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers), Robotics and Sensor-Based Localization (12 papers), Autonomous Vehicle Technology and Safety (9 papers), Face Recognition and Perception (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Face and Expression Recognition (8 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (915 citations), General Dentistry (68 citations), Media Technology (176 citations), Computer Networks and Communications (358 citations) and Experimental and Cognitive Psychology (204 citations). Matthew N. Dailey has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Garrison W. Cottrell, Waheed Iqbal, David Carrera, Mongkol Ekpanyapong, Faisal Bukhari, Paul Janecek, Ralph Adolphs, Peter Haddawy, Curtis Padgett and Siriwan Suebnukarn. Their work appears in journals such as Image and Vision Computing, Sustainability, Precision Agriculture, Sensors and Artificial Intelligence in Medicine.

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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