Mina Dadgar

403 total citations
9 papers, 255 citations indexed

About

Mina Dadgar is a scholar working on Education, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Mina Dadgar has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 2 papers in Political Science and International Relations and 2 papers in Sociology and Political Science. Recurrent topics in Mina Dadgar's work include Higher Education Research Studies (8 papers), Global Educational Reforms and Inequalities (2 papers) and Labor market dynamics and wage inequality (2 papers). Mina Dadgar is often cited by papers focused on Higher Education Research Studies (8 papers), Global Educational Reforms and Inequalities (2 papers) and Labor market dynamics and wage inequality (2 papers). Mina Dadgar collaborates with scholars based in United States. Mina Dadgar's co-authors include Di Xu, Andrea Venezia, Thad Nodine and Susan Mundry and has published in prestigious journals such as Educational Evaluation and Policy Analysis, Community College Review and Columbia Academic Commons (Columbia University).

In The Last Decade

Mina Dadgar

8 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mina Dadgar United States	7	209	81	32	32	28	9	255
Scott Heil United States	4	221 1.1×	38 0.5×	38 1.2×	34 1.1×	41 1.5×	5	265
Michael Kofoed United States	7	140 0.7×	49 0.6×	20 0.6×	28 0.9×	27 1.0×	20	224
Quentin Brummet United States	7	155 0.7×	53 0.7×	21 0.7×	14 0.4×	104 3.7×	12	258
Isaac McFarlin United States	7	289 1.4×	68 0.8×	37 1.2×	35 1.1×	35 1.3×	17	342
David Monaghan United States	5	214 1.0×	48 0.6×	57 1.8×	44 1.4×	47 1.7×	6	286
Marsha Silverberg United States	8	236 1.1×	37 0.5×	39 1.2×	25 0.8×	50 1.8×	19	288
Jessica S. Howell United States	8	212 1.0×	26 0.3×	25 0.8×	28 0.9×	50 1.8×	14	249
Angel Nathan	8	177 0.8×	33 0.4×	30 0.9×	15 0.5×	33 1.2×	11	230
D. Timothy Leinbach United States	10	300 1.4×	28 0.3×	46 1.4×	34 1.1×	31 1.1×	18	322
Jay Noell United States	5	280 1.3×	43 0.5×	26 0.8×	36 1.1×	46 1.6×	8	303

Countries citing papers authored by Mina Dadgar

Since Specialization

Citations

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

Fields of papers citing papers by Mina Dadgar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Dadgar

This figure shows the co-authorship network connecting the top 25 collaborators of Mina Dadgar. A scholar is included among the top collaborators of Mina Dadgar 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 Mina Dadgar. Mina Dadgar 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:

9 of 9 papers shown

1.

Xu, Di & Mina Dadgar. (2017). How Effective Are Community College Remedial Math Courses for Students With the Lowest Math Skills?. Community College Review. 46(1). 62–81. 31 indexed citations

2.

Dadgar, Mina, et al.. (2014). Strategies for Integrating Student Supports and Academics. New Directions for Community Colleges. 2014(167). 41–51. 4 indexed citations

3.

Dadgar, Mina, et al.. (2014). Core to College Evaluation: Exploring the Use of Multiple Measures for Placement into College-Level Courses. Seeking Alternatives or Improvements to the Use of a Single Standardized Test..

4.

Dadgar, Mina, et al.. (2014). Labor Market Returns to Sub-Baccalaureate Credentials. Educational Evaluation and Policy Analysis. 37(4). 399–418. 101 indexed citations

5.

Dadgar, Mina, et al.. (2012). Labor Market Returns to Sub-Baccalaureate Credentials: How Much Does a Community College Degree or Certificate Pay? CCRC Working Paper No. 45.. 17 indexed citations

6.

Dadgar, Mina. (2012). The Academic Consequences of Employment for Students Enrolled in Community College. CCRC Working Paper No. 46.. 9 indexed citations

7.

Dadgar, Mina. (2012). Essays on the Economics of Community College Students' Academic and Labor Market Success. Columbia Academic Commons (Columbia University). 16 indexed citations

8.

Dadgar, Mina. (2012). The Academic Consequences of Employment for Students Enrolled in Community College. Columbia Academic Commons (Columbia University). 13 indexed citations

9.

Dadgar, Mina, et al.. (2012). Does dual enrollment increase students’ success in college? Evidence from a quasi‐experimental analysis of dual enrollment in New York City. New Directions for Higher Education. 2012(158). 11–19. 64 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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