Peg Young

467 total citations
17 papers, 361 citations indexed

About

Peg Young is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Management Science and Operations Research. According to data from OpenAlex, Peg Young has authored 17 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in General Economics, Econometrics and Finance and 4 papers in Management Science and Operations Research. Recurrent topics in Peg Young's work include Innovation Diffusion and Forecasting (3 papers), Forecasting Techniques and Applications (3 papers) and Urban and Freight Transport Logistics (3 papers). Peg Young is often cited by papers focused on Innovation Diffusion and Forecasting (3 papers), Forecasting Techniques and Applications (3 papers) and Urban and Freight Transport Logistics (3 papers). Peg Young collaborates with scholars based in United States and Israel. Peg Young's co-authors include J. Keith Ord, Stephen R. Ruth, Kajal Lahiri, H. O. Stekler and Keith Ord and has published in prestigious journals such as Technological Forecasting and Social Change, International Journal of Forecasting and Futures.

In The Last Decade

Peg Young

15 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peg Young United States 7 160 91 36 36 35 17 361
Terrence E. Daniel Canada 5 261 1.6× 150 1.6× 18 0.5× 48 1.3× 28 0.8× 12 615
Douglas M. Dunn Canada 7 197 1.2× 121 1.3× 27 0.8× 36 1.0× 24 0.7× 10 462
Huihui Liu China 9 228 1.4× 55 0.6× 32 0.9× 15 0.4× 32 0.9× 20 350
Kenneth D. Lawrence United States 10 147 0.9× 42 0.5× 21 0.6× 29 0.8× 20 0.6× 48 391
Christina Beneki Greece 9 79 0.5× 215 2.4× 47 1.3× 17 0.5× 33 0.9× 27 604
John S. Morris United States 11 151 0.9× 29 0.3× 30 0.8× 26 0.7× 29 0.8× 38 485
Kyoung-Kuk Kim South Korea 10 117 0.7× 94 1.0× 38 1.1× 33 0.9× 18 0.5× 41 383
Yi-ting Wang China 10 125 0.8× 40 0.4× 21 0.6× 27 0.8× 23 0.7× 21 303
Ming‐Tao Chou Taiwan 11 213 1.3× 98 1.1× 22 0.6× 14 0.4× 31 0.9× 31 364
S. M. Junaid Zaidi Pakistan 10 116 0.7× 49 0.5× 44 1.2× 13 0.4× 49 1.4× 23 478

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-authorship network of co-authors of Peg Young

This figure shows the co-authorship network connecting the top 25 collaborators of Peg Young. A scholar is included among the top collaborators of Peg Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peg Young. Peg Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Young, Peg, et al.. (2018). Transportation Services Index and the Economy--Revisited. ROSA P. 1 indexed citations
2.
Lahiri, Kajal, et al.. (2011). Monthly Output Index for the U.S. Transportation Sector. ROSA P. 6(3).
4.
Young, Peg. (2010). Upward Trend in Vehicle-Miles Resumed during 2009: A Time Series Analysis. ROSA P. 1 indexed citations
5.
Young, Peg, et al.. (2007). Transportation Service Index and the Economy. 1 indexed citations
6.
Young, Peg, et al.. (2007). Bureau of Transportation Statistics Technical Report. Transportation Services Index and the Economy. Phase III Project. 2 indexed citations
7.
Ord, Keith & Peg Young. (2004). ESTIMATING THE IMPACT OF RECENT INTERVENTIONS ON TRANSPORTATION INDICATORS. 7(1). 6 indexed citations
8.
Lahiri, Kajal, et al.. (2004). Transportation and the Economy: Linkages at Business-Cycle Frequencies. Transportation Research Record Journal of the Transportation Research Board. 1864(1). 103–111. 3 indexed citations
9.
Lahiri, Kajal, et al.. (2003). Monthly Output Index for the U.S. Transportation Sector. SSRN Electronic Journal. 14 indexed citations
10.
Young, Peg. (1993). Technological growth curves. Technological Forecasting and Social Change. 44(4). 375–389. 92 indexed citations
11.
Young, Peg. (1991). Forecasting and time series analysis. International Journal of Forecasting. 7(2). 246–248. 153 indexed citations
12.
Young, Peg, et al.. (1990). Improved business planning through an awareness of political cycles. Journal of Forecasting. 9(1). 37–52. 3 indexed citations
13.
Young, Peg, et al.. (1989). Evolution of attitudes toward computers: a retrospective view. Behaviour and Information Technology. 8(2). 89–98. 37 indexed citations
14.
Young, Peg & J. Keith Ord. (1989). Model selection and estimation for technological growth curves. International Journal of Forecasting. 5(4). 501–513. 31 indexed citations
15.
Young, Peg. (1988). Ellul on technological forecasting. Futures. 20(2). 194–197. 1 indexed citations
16.
Young, Peg. (1988). Easy caster. International Journal of Forecasting. 4(4). 623–625. 1 indexed citations
17.
Young, Peg & J. Keith Ord. (1985). The use of discounted least squares in technological forecasting. Technological Forecasting and Social Change. 28(3). 263–274. 15 indexed citations

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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