D.J. Dailey

704 citations
22 papers · 551 · h-index 10

Impact in

Papers in

D.J. Dailey

20 papers receiving 484 citations

Peers

D.J. Dailey
Comparison fields: 5 of 47
  • Transportation 114
  • Computer Vision and Pattern Recognition 294
  • Building and Construction 170
  • Automotive Engineering 150
  • Media Technology 45
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Peng Dai China
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D.J. Dailey relative to Tomotaka Wada Japan Tomotaka Wada's profile →
Citations per field
00.5×3.5×
Tomotaka Wada · 1×
Citations per year

Countries citing papers authored by D.J. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside D.J. 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 D.J. Dailey Line = papers co-authored together D.J. Dailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000209
2 1993105
3 200563
4 198227
5 198226
6 200321
7 200313
8 200413
9 200311
10 19999
11 20029
12
Automatic Transit Location System
19969
13 20058
14 20036
15 20065
16 20035
17 20054
18 20024
19 20032
20
Separate effects tests in support of BWR thermal/hydraulic monitoring
19821

About D.J. Dailey

D.J. Dailey is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Building and Construction, Control and Systems Engineering and Signal Processing, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (7 papers), Advanced Vision and Imaging (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Video Surveillance and Tracking Methods (5 papers), Data Management and Algorithms (4 papers), Traffic control and management (4 papers), Nuclear Engineering Thermal-Hydraulics (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Transportation (114 citations), Computer Vision and Pattern Recognition (294 citations), Building and Construction (170 citations), Automotive Engineering (150 citations) and Media Technology (45 citations). D.J. Dailey has collaborated with scholars based in United States and Thailand. Frequent co-authors include F.W. Cathey, Suree Pumrin, G. Kosály, Todd N. Schoepflin, R.W. Albrecht, M.J. Damborg, David Meyers, Mark Haselkorn and Hamid Khan. Their work appears in journals such as Progress in Nuclear Energy, IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part B Methodological and Transportation Research Record Journal of the Transportation Research Board.

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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