Daniel J. Vine

460 total citations
10 papers, 176 citations indexed

About

Daniel J. Vine is a scholar working on Economics and Econometrics, Accounting and Marketing. According to data from OpenAlex, Daniel J. Vine has authored 10 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 4 papers in Accounting and 3 papers in Marketing. Recurrent topics in Daniel J. Vine's work include Financial Literacy, Pension, Retirement Analysis (4 papers), Housing Market and Economics (4 papers) and Energy, Environment, and Transportation Policies (2 papers). Daniel J. Vine is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (4 papers), Housing Market and Economics (4 papers) and Energy, Environment, and Transportation Policies (2 papers). Daniel J. Vine collaborates with scholars based in United States. Daniel J. Vine's co-authors include Valerie Ramey, C Kurz, Geng Li, Karen M. Pence, Kathleen W. Johnson and Wendy E. Dunn and has published in prestigious journals such as American Economic Review, Journal of money credit and banking and NBER Macroeconomics Annual.

In The Last Decade

Daniel J. Vine

10 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Vine United States	7	129	85	45	28	21	10	176
Sharat Ganapati United States	8	178 1.4×	96 1.1×	45 1.0×	14 0.5×	14 0.7×	25	235
Fabio Di Dio Italy	7	209 1.6×	44 0.5×	84 1.9×	31 1.1×	8 0.4×	27	245
Anson Soderbery United States	8	173 1.3×	225 2.6×	13 0.3×	22 0.8×	5 0.2×	15	278
Marek A. Dąbrowski Poland	8	160 1.2×	92 1.1×	23 0.5×	89 3.2×	14 0.7×	43	222
Festus O. Egwaikhide Nigeria	9	209 1.6×	113 1.3×	38 0.8×	36 1.3×	50 2.4×	22	277
Edouard Schaal United States	5	280 2.2×	180 2.1×	10 0.2×	70 2.5×	20 1.0×	11	328
Renata Karkowska Poland	8	157 1.2×	33 0.4×	28 0.6×	98 3.5×	73 3.5×	39	255
Ky-Hyang Yuhn United States	10	241 1.9×	146 1.7×	45 1.0×	58 2.1×	14 0.7×	20	282
Zacharias Bragoudakis Greece	10	115 0.9×	71 0.8×	15 0.3×	99 3.5×	38 1.8×	30	199
JaeBin Ahn United States	9	137 1.1×	158 1.9×	8 0.2×	54 1.9×	39 1.9×	37	249

Countries citing papers authored by Daniel J. Vine

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Vine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Vine

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Vine. A scholar is included among the top collaborators of Daniel J. Vine 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 Daniel J. Vine. Daniel J. Vine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Pence, Karen M., et al.. (2019). How Much Are Car Purchases Driven by Home Equity Withdrawal?. Journal of money credit and banking. 51(5). 1403–1426. 9 indexed citations

2.

Kurz, C, Geng Li, & Daniel J. Vine. (2018). Are Millennials Different?. Finance and Economics Discussion Series. 2018.0(80). 27 indexed citations

3.

Dunn, Wendy E. & Daniel J. Vine. (2016). Why are Inventory-Sales Ratios at U.S. Auto Dealerships so High?. Finance and Economics Discussion Series. 2016.0(47). 1–37. 2 indexed citations

4.

Pence, Karen M., et al.. (2015). How Much Are Car Purchases Driven by Home Equity Withdrawal? Evidence from Household Surveys. Finance and Economics Discussion Series. 2015(106). 1–13. 1 indexed citations

5.

Johnson, Kathleen W., Karen M. Pence, & Daniel J. Vine. (2014). Auto Sales and Credit Supply. SSRN Electronic Journal. 6 indexed citations

6.

Pence, Karen M., Kathleen W. Johnson, & Daniel J. Vine. (2014). Auto Sales and Credit Supply. Finance and Economics Discussion Series. 2014.0(82). 1–40. 2 indexed citations

7.

Ramey, Valerie & Daniel J. Vine. (2011). Oil, Automobiles, and the U.S. Economy: How Much Have Things Really Changed?. NBER Macroeconomics Annual. 25(1). 333–368. 46 indexed citations

8.

Ramey, Valerie & Daniel J. Vine. (2006). Declining Volatility in the U.S. Automobile Industry. American Economic Review. 96(5). 1876–1889. 62 indexed citations

9.

Ramey, Valerie & Daniel J. Vine. (2005). Tracking the Source of the Decline in GDP Volatility: An Analysis of the Automobile Industry. SSRN Electronic Journal. 15 indexed citations

10.

Ramey, Valerie & Daniel J. Vine. (2005). Tracking the Source of the Decline in GDP Volatility: An Analysis of the Automobile Industry. Finance and Economics Discussion Series. 2005.0(14). 1–50. 6 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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