Eugene Choo

869 total citations
13 papers, 416 citations indexed

About

Eugene Choo is a scholar working on Gender Studies, Demography and Management Science and Operations Research. According to data from OpenAlex, Eugene Choo has authored 13 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Gender Studies, 7 papers in Demography and 5 papers in Management Science and Operations Research. Recurrent topics in Eugene Choo's work include Gender, Labor, and Family Dynamics (8 papers), Family Dynamics and Relationships (7 papers) and demographic modeling and climate adaptation (4 papers). Eugene Choo is often cited by papers focused on Gender, Labor, and Family Dynamics (8 papers), Family Dynamics and Relationships (7 papers) and demographic modeling and climate adaptation (4 papers). Eugene Choo collaborates with scholars based in Canada, United States and Singapore. Eugene Choo's co-authors include Aloysius Siow, Jean Eid, Shannon Seitz, Liang Chen, Liang Chen, Alfred Galichon, Sang‐Do Lee, Ji‐Hyang Lee, Woo‐Jung Song and Sei Won Lee and has published in prestigious journals such as Econometrica, Journal of Political Economy and The Economic Journal.

In The Last Decade

Eugene Choo

12 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene Choo Canada	6	250	198	161	126	70	13	416
Luís Vasconcelos United States	7	121 0.5×	94 0.5×	74 0.5×	75 0.6×	45 0.6×	11	258
Gauthier Lanot United Kingdom	9	68 0.3×	40 0.2×	163 1.0×	58 0.5×	14 0.2×	27	313
Andrew Shephard United States	9	294 1.2×	47 0.2×	276 1.7×	116 0.9×	35 0.5×	16	430
Ana Fernandes Switzerland	7	78 0.3×	29 0.1×	174 1.1×	73 0.6×	45 0.6×	20	296
Aderonke Osikominu Germany	11	88 0.4×	96 0.5×	486 3.0×	128 1.0×	7 0.1×	32	622
Grégory Jolivet United Kingdom	9	46 0.2×	48 0.2×	222 1.4×	38 0.3×	7 0.1×	18	297
Giulio Fella United Kingdom	10	81 0.3×	74 0.4×	349 2.2×	78 0.6×	10 0.1×	25	474
Çağrı S. Kumru Australia	7	18 0.1×	56 0.3×	105 0.7×	68 0.5×	22 0.3×	19	225
Adrian Masters United States	10	36 0.1×	24 0.1×	230 1.4×	26 0.2×	39 0.6×	29	300
Nicola Pavoni Italy	11	80 0.3×	25 0.1×	299 1.9×	45 0.4×	22 0.3×	32	375

Countries citing papers authored by Eugene Choo

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Choo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Choo

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

An, Jin, Eugene Choo, Ji‐Hyang Lee, et al.. (2023). Codeine prescription pattern and treatment responses in patients with chronic cough: a routinely collected institutional database analysis. Journal of Thoracic Disease. 15(4). 2344–2354. 5 indexed citations

2.

Chen, Liang & Eugene Choo. (2022). Identification and Parametric Estimation of Empirical Dynamic Marriage Matching Models. The Economic Journal. 133(651). 1005–1035. 2 indexed citations

3.

Chen, Liang, et al.. (2019). Matching Function Equilibria: Existence, Uniqueness and Estimation. SSRN Electronic Journal. 3 indexed citations

4.

Choo, Eugene, et al.. (2018). Evaluating the Efficiency of Subsurface Drainage Systems during Large Landslides. 1 indexed citations

5.

Choo, Eugene. (2015). Dynamic Marriage Matching: An Empirical Framework. Econometrica. 83(4). 1373–1423. 30 indexed citations

6.

Choo, Eugene & Matthew Shum. (2013). Structural Econometric Models.

7.

Seitz, Shannon, Aloysius Siow, & Eugene Choo. (2010). The Collective Marriage Matching Model: Identification, Estimation and Testing. RePEc: Research Papers in Economics. 4 indexed citations

8.

Seitz, Shannon, Aloysius Siow, & Eugene Choo. (2009). Marriage matching, risk sharing and spousal labor supplies. RePEc: Research Papers in Economics. 1 indexed citations

9.

Choo, Eugene & Jean Eid. (2008). Interregional Price Difference in the New Orleans Auctions Market for Slaves. Journal of Business and Economic Statistics. 26(4). 486–509. 12 indexed citations

10.

Choo, Eugene & Aloysius Siow. (2006). Who Marries Whom and Why. SSRN Electronic Journal. 15 indexed citations

11.

Choo, Eugene & Aloysius Siow. (2006). Who Marries Whom and Why. Journal of Political Economy. 114(1). 175–201. 312 indexed citations

12.

Choo, Eugene & Aloysius Siow. (2006). Estimating a marriage matching model with spillover effects. Demography. 43(3). 463–490. 29 indexed citations

13.

Choo, Eugene. (2005). Going Dutch: The Google IPO. Berkeley technology law journal. 20(1). 405. 2 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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