Peg Young

467 citations
15 papers · 362 · h-index 5

Impact in

Papers in

Peg Young

15 papers receiving 335 citations

Peers

Peg Young
Comparison fields: 5 of 94
  • Management Science and Operations Research 170
  • Statistics, Probability and Uncertainty 36
  • Economics and Econometrics 90
  • Management of Technology and Innovation 22
  • Statistics and Probability 22
Replace Raffaello Seri with:
Raffaello Seri Italy
Glyn A. Holton
Kenneth C. Lichtendahl United States
Kenneth D. Lawrence United States
Stanislav Dadelo Lithuania
Taoyong Su China
John S. Morris United States
Yong Wu China
Celal Alpay Havle Türkiye
A. Geoff Lockett United Kingdom
Peg Young relative to Raffaello Seri Italy Raffaello Seri's profile →
Citations per field
00.5×1.5×2×
Raffaello Seri · 1×
Citations per year

Countries citing papers authored by Peg Young

Since Specialization
Citations

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

Fields of papers citing papers by Peg Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Peg Young, 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 Peg Young Line = papers co-authored together Peg Young links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1991158
2 199394
3 198939
4 198932
5 198519
6
ESTIMATING THE IMPACT OF RECENT INTERVENTIONS ON TRANSPORTATION INDICATORS
20045
7 20043
8 19903
9 20112
10
Bureau of Transportation Statistics Technical Report. Transportation Services Index and the Economy. Phase III Project
20072
11 20181
12 20101
13 19881
14 19881
15
Transportation Service Index and the Economy
20071

About Peg Young

Peg Young is a scholar working on Management Science and Operations Research, Building and Construction, General Economics, Econometrics and Finance, Economics and Econometrics and Renewable Energy, Sustainability and the Environment, having authored 15 papers that have together received 362 indexed citations. Recurring topics across this work include Urban and Freight Transport Logistics (3 papers), Innovation Diffusion and Forecasting (3 papers), Forecasting Techniques and Applications (3 papers), Grey System Theory Applications (2 papers), Energy, Environment, and Transportation Policies (2 papers), Monetary Policy and Economic Impact (2 papers), Economic and Technological Innovation (1 paper) and Global Financial Crisis and Policies (1 paper). The work is most often cited by research in Management Science and Operations Research (170 citations), Statistics, Probability and Uncertainty (36 citations), Economics and Econometrics (90 citations), Management of Technology and Innovation (22 citations) and Statistics and Probability (22 citations). Peg Young has collaborated with scholars based in United States and Israel. Frequent co-authors include J. Keith Ord, Stephen R. Ruth, Keith Ord, Kajal Lahiri and Herman O. Stekler. Their work appears in journals such as International Journal of Forecasting, Technological Forecasting and Social Change, Futures, Journal of Forecasting and Behaviour and Information Technology.

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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