Charles H. Mullin

619 total citations
10 papers, 261 citations indexed

About

Charles H. Mullin is a scholar working on Gender Studies, Education and Statistics and Probability. According to data from OpenAlex, Charles H. Mullin has authored 10 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Gender Studies, 3 papers in Education and 3 papers in Statistics and Probability. Recurrent topics in Charles H. Mullin's work include Gender, Labor, and Family Dynamics (4 papers), Demographic Trends and Gender Preferences (3 papers) and Higher Education Research Studies (2 papers). Charles H. Mullin is often cited by papers focused on Gender, Labor, and Family Dynamics (4 papers), Demographic Trends and Gender Preferences (3 papers) and Higher Education Research Studies (2 papers). Charles H. Mullin collaborates with scholars based in United States. Charles H. Mullin's co-authors include V. Joseph Hotz, S. Sanders, John J. Siegfried, David Reiley, Anandi Mani, John Karl Scholz and Anup Malani and has published in prestigious journals such as American Economic Review, Journal of Econometrics and The Review of Economic Studies.

In The Last Decade

Charles H. Mullin

9 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles H. Mullin United States	5	104	89	63	57	57	10	261
John L. Newman United States	9	82 0.8×	119 1.3×	123 2.0×	69 1.2×	40 0.7×	20	324
Martin Schlotter Germany	7	109 1.0×	125 1.4×	83 1.3×	51 0.9×	36 0.6×	11	341
Monique de Haan Netherlands	10	102 1.0×	147 1.7×	78 1.2×	97 1.7×	83 1.5×	20	392
İnsan Tunalı Türkiye	8	43 0.4×	124 1.4×	182 2.9×	36 0.6×	36 0.6×	15	322
Jane Arnold Lincove United States	15	79 0.8×	123 1.4×	77 1.2×	142 2.5×	42 0.7×	34	547
Caroline Häll Sweden	11	63 0.6×	104 1.2×	134 2.1×	26 0.5×	75 1.3×	31	309
Nikolas Mittag United States	10	112 1.1×	139 1.6×	129 2.0×	25 0.4×	24 0.4×	32	346
Jordan Matsudaira United States	9	34 0.3×	98 1.1×	101 1.6×	28 0.5×	63 1.1×	20	368
Robert G. Spiegelman United States	8	148 1.4×	77 0.9×	198 3.1×	26 0.5×	47 0.8×	17	340
Veruska Oppedisano United Kingdom	9	33 0.3×	102 1.1×	151 2.4×	59 1.0×	41 0.7×	13	341

Countries citing papers authored by Charles H. Mullin

Since Specialization

Citations

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

Fields of papers citing papers by Charles H. Mullin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles H. Mullin. 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 Charles H. Mullin. The network helps show where Charles H. Mullin may publish in the future.

Co-authorship network of co-authors of Charles H. Mullin

This figure shows the co-authorship network connecting the top 25 collaborators of Charles H. Mullin. A scholar is included among the top collaborators of Charles H. Mullin 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 Charles H. Mullin. Charles H. Mullin 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

Mullin, Charles H.. (2005). Bounding Treatment Effects with Contaminated and Censored Data: Assessing the Impact of Early Childbearing on Children. The B E Journal of Economic Analysis & Policy. 5(1). 2 indexed citations

Mullin, Charles H.. (2005). Identification and estimation with contaminated data: When do covariate data sharpen inference?. Journal of Econometrics. 130(2). 253–272. 1 indexed citations

Mullin, Charles H.. (2005). Bounding Treatment Effects with Contaminated and Censored Data: Assessing the Impact of Early Childbearing on Children. 5(1). 1 indexed citations

Mullin, Charles H. & David Reiley. (2004). Recombinant estimation for normal-form games, with applications to auctions and bargaining. Games and Economic Behavior. 54(1). 159–182. 30 indexed citations

Mani, Anandi & Charles H. Mullin. (2004). Choosing the Right Pond: Social Approval and Occupational Choice. Journal of Labor Economics. 22(4). 835–861. 12 indexed citations

Mullin, Charles H., et al.. (2004). Undergraduate financial aid and subsequent alumni giving behavior. The Quarterly Review of Economics and Finance. 45(1). 123–143. 50 indexed citations

Mullin, Charles H. & Anup Malani. (2004). The Effect of Joint and Several Liability on the Bankruptcy Rate of Defendants: Evidence from Asbestos Litigation. SSRN Electronic Journal. 1 indexed citations

Hotz, V. Joseph, Charles H. Mullin, & John Karl Scholz. (2002). Welfare, Employment, and Income: Evidence on the Effects of Benefit Reductions from California. American Economic Review. 92(2). 380–384. 15 indexed citations

Mullin, Charles H., et al.. (2000). Undergraduate Financial Aid and Subsequent Giving Behavior. RePEc: Research Papers in Economics. 1 indexed citations

10.

Hotz, V. Joseph, Charles H. Mullin, & S. Sanders. (1997). Bounding Causal Effects Using Data from a Contaminated Natural Experiment: Analysing the Effects of Teenage Childbearing. The Review of Economic Studies. 64(4). 575–603. 148 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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