David E. Pitfield

70 papers receiving 1.4k citations

Peers

David E. Pitfield
Comparison fields: 5 of 92
  • Transportation 237
  • General Economics, Econometrics and Finance 330
  • Safety, Risk, Reliability and Quality 274
  • Automotive Engineering 116
  • Statistics, Probability and Uncertainty 74
Replace Shinya Hanaoka with:
Shinya Hanaoka Japan
Megan S. Ryerson United States
Alexandre Gomes de Barros Canada
Mark M. Hansen United States
David Gillen Canada
Yu‐Chiun Chiou Taiwan
Filipe Moura Portugal
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Citations per field
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Citations per year

Countries citing papers authored by David E. Pitfield

Since Specialization
Citations

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

Fields of papers citing papers by David E. Pitfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Pitfield. 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 David E. Pitfield. The network helps show where David E. Pitfield may publish in the future.

Co-authors

The 24 scholars most cited alongside David E. Pitfield, 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 David E. Pitfield Line = papers co-authored together David E. Pitfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2 2000118
3 2015117
4 2015103
5 201548
6 200947
7 200440
8
DISCRETE CHOICE MODELS IN REGIONAL SCIENCE
198438
9 201235
10 201535
11 200932
12 199031
13 200830
14 200629
15 201427
16 201624
17 199423
18 200823
19 200521
20 199920

About David E. Pitfield

David E. Pitfield is a scholar working on General Economics, Econometrics and Finance, Transportation, Safety, Risk, Reliability and Quality, Aerospace Engineering and Statistics, Probability and Uncertainty, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aviation Industry Analysis and Trends (28 papers), Air Traffic Management and Optimization (12 papers), Traffic and Road Safety (9 papers), Regional Economics and Spatial Analysis (7 papers), Risk and Safety Analysis (6 papers), Urban and Freight Transport Logistics (6 papers), Transport and Economic Policies (5 papers) and Transportation Planning and Optimization (5 papers). The work is most often cited by research in Transportation (237 citations), General Economics, Econometrics and Finance (330 citations), Safety, Risk, Reliability and Quality (274 citations), Automotive Engineering (116 citations) and Statistics, Probability and Uncertainty (74 citations). David E. Pitfield has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mohammed Quddus, R. E. Caves, Maria-Ioanna M. Imprialou, Dominique Lord, James L. Pearson, Tim J. Ryley, Lucy Budd, Robert E. Caves, Kenneth John Button and John F. O’Connell. Their work appears in journals such as Journal of Air Transport Management, Transportation Planning and Technology, Environment and Planning A Economy and Space, Safety Science and Papers of the Regional Science Association.

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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