Geoffrey Clifton

409 citations
22 papers · 254 indexed · h-index 8

Geoffrey Clifton

20 papers receiving 244 citations

Peers

Geoffrey Clifton
Comparison fields: 5 of 58
  • Transportation 180
  • Building and Construction 53
  • Automotive Engineering 41
  • Economics and Econometrics 83
  • Radiological and Ultrasound Technology 14
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Countries citing papers authored by Geoffrey Clifton

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Clifton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Clifton. 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 Geoffrey Clifton. The network helps show where Geoffrey Clifton may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Geoffrey Clifton, 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 Geoffrey Clifton Line = papers co-authored together Geoffrey Clifton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20235
4 202310
5 20234
6 20235
7 202214
8 20223
9 20183
10 201735
11 201685
12
Forecasting public transport demand for the Sydney Greater Metropolitan Area: a comparison of univariate and multivariate methods
201414
13 201417
14 20146
15
Examining Local Interaction Between Public Transport Demand and Land Use Characteristics Using Geographically Weighted Regression
20131
16 20136
17
The spatial interactions between public transport demand and land use characteristics in the Sydney Greater Metropolitan Area
201211
18
The North West Rail Link: winners and losers in the locality of the North West area
20121
19
Examining estimator bias and efficiency for pseudo panel data: a Monte Carlo simulation approach.
20120
20 20123

About Geoffrey Clifton

Geoffrey Clifton is a scholar working on Transportation, Radiological and Ultrasound Technology and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (16 papers), Transportation Planning and Optimization (12 papers), Urban and Freight Transport Logistics (5 papers), Transportation and Mobility Innovations (4 papers), Economic and Environmental Valuation (3 papers), Risk and Safety Analysis (3 papers), Spatial and Panel Data Analysis (3 papers) and Occupational Health and Safety Research (3 papers). The work is most often cited by research in Transportation (180 citations), Building and Construction (53 citations) and Automotive Engineering (41 citations). Geoffrey Clifton has collaborated with scholars based in Australia and Canada. Frequent co-authors include Corinne Mulley, Liang Ma, Barbara T.H. Yen, Matthew Burke, John D. Nelson, Camila Balbontín, David Levinson, Stephen Greaves, Somwrita Sarkar and Jeff Allen. Their work appears in journals such as Research in Transportation Economics, Accident Analysis & Prevention, Transport Policy, Journal of Transport Geography and Transportation Research Interdisciplinary Perspectives.

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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