Daniel J. Dailey

44 papers receiving 410 citations

Peers

Daniel J. Dailey
Comparison fields: 5 of 55
  • Transportation 222
  • Building and Construction 224
  • Automotive Engineering 151
  • Control and Systems Engineering 237
  • Safety, Risk, Reliability and Quality 88
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Countries citing papers authored by Daniel J. Dailey

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel J. Dailey more than expected).

Fields of papers citing papers by Daniel J. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel J. Dailey Line = papers co-authored together Daniel 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201640
3 201237
4
Freeway Micro-simulation Calibration: Case Study Using Aimsun and VISSIM with Detailed Field Data
201425
5 200321
6 200320
7
IMPROVED ERROR DETECTION FOR INDUCTIVE LOOP SENSORS
199319
8
Wireless Communications For Intelligent Transportation Systems
199516
9
AVL-Equipped Vehicles as Traffic Probe Sensors
200215
10
Integrated Adaptive Cruise Control Car-Following Model Based on Trajectory Data
201613
11 200713
12 201511
13
The use of weather data to predict non-recurring traffic congestion
200610
14 20149
15
Algorithms for estimating mean vehicle speed using uncalibrated traffic management cameras
20039
16
Simulation-Based Evaluations of Real-Time Variable Speed Limit for Freeway Recurring Traffic Congestion
20138
17 20038
18 20148
19 20027
20 20047

About Daniel J. Dailey

Daniel J. Dailey is a scholar working on Building and Construction, Control and Systems Engineering, Transportation, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 47 papers that have together received 459 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (21 papers), Traffic control and management (19 papers), Transportation Planning and Optimization (17 papers), Autonomous Vehicle Technology and Safety (8 papers), Advanced Vision and Imaging (7 papers), Advanced Database Systems and Queries (4 papers), Image and Object Detection Techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Transportation (222 citations), Building and Construction (224 citations), Automotive Engineering (151 citations), Control and Systems Engineering (237 citations) and Safety, Risk, Reliability and Quality (88 citations). Daniel J. Dailey has collaborated with scholars based in United States and Denmark. Frequent co-authors include Xiao‐Yun Lu, Steven E Shladover, Todd N. Schoepflin, Jiaqi Ma, Hesham Rakha, Xiaopeng Li, Ramanujan Jagannathan, Joe Bared, F.W. Cathey and Robert Kluger. Their work appears in journals such as Journal of Transportation Engineering, Transportation Research Record Journal of the Transportation Research Board, Accident Analysis & Prevention, IEEE Transactions on Intelligent Vehicles and Progress in Nuclear Energy.

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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