Daniel B. Work

130 papers receiving 4.0k citations

Daniel B. Work's Hit Papers

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments 2018 · 550 citations
5500+5+11Years since publication200400600

Peers

Daniel B. Work
Comparison fields: 5 of 114
  • Transportation 1.8k
  • Building and Construction 1.7k
  • Automotive Engineering 1.3k
  • Control and Systems Engineering 2.2k
  • Safety, Risk, Reliability and Quality 321
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Countries citing papers authored by Daniel B. Work

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Work

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel B. Work, 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 B. Work Line = papers co-authored together Daniel B. Work links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment
Hit paper breakdown →
2009692
2
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Hit paper breakdown →
2018550
3 2008275
4 2019209
5 2008202
6 2010178
7 2017160
8 2017106
9 2018100
10 201887
11 201773
12 201173
13 201172
14 201667
15 201563
16 201762
17 201952
18 201249
19 201647
20 201542

About Daniel B. Work

Daniel B. Work is a scholar working on Control and Systems Engineering, Building and Construction, Transportation, Automotive Engineering and Artificial Intelligence, having authored 138 papers that have together received 4.1k indexed citations. Recurring topics across this work include Traffic control and management (79 papers), Traffic Prediction and Management Techniques (61 papers), Transportation Planning and Optimization (43 papers), Autonomous Vehicle Technology and Safety (33 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Traffic and Road Safety (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Human Mobility and Location-Based Analysis (8 papers). The work is most often cited by research in Transportation (1.8k citations), Building and Construction (1.7k citations), Automotive Engineering (1.3k citations), Control and Systems Engineering (2.2k citations) and Safety, Risk, Reliability and Quality (321 citations). Daniel B. Work has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Alexandre M. Bayen, Quinn Jacobson, Ryan Herring, Juan Carlos Herrera, Raphael Stern, Benedetto Piccoli, Xuegang Ban, Benjamin Seibold, Sébastien Blandin and Olli‐Pekka Tossavainen. Their work appears in journals such as Transportation Research Part C Emerging Technologies, SIAM Journal on Applied Mathematics, IEEE Transactions on Intelligent Transportation Systems, IEEE Control Systems and Networks and Heterogeneous Media.

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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