Marie T. Mora

780 citations
46 papers · 510 indexed · h-index 14
Topics
Migration and Labor Dynamics (27 papers)Migration, Ethnicity, and Economy (23 papers)Multilingual Education and Policy (8 papers)
Partner nations
United StatesLatvia

In The Last Decade

Marie T. Mora

45 papers receiving 416 citations

Peers

Marie T. Mora
Comparison fields: 5 of 56
  • Sociology and Political Science 346
  • Economics and Econometrics 85
  • Management of Technology and Innovation 82
  • Education 79
  • Demography 63
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Citations per field
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Citations per year

Countries citing papers authored by Marie T. Mora

Since Specialization
Citations

This map shows the geographic impact of Marie T. Mora'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 Marie T. Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie T. Mora more than expected).

Fields of papers citing papers by Marie T. Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie T. Mora. 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 Marie T. Mora. The network helps show where Marie T. Mora may publish in the future.

Co-authorship network of co-authors of Marie T. Mora

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2
The Hispanic-White Wage Gap Has Remained Wide and Relatively Steady: Examining Hispanic-White Gaps in Wages, Unemployment, Labor Force Participation, and Education by Gender, Immigrant Status, and Other Subpopulations.
5
3 4
4 1
5 14
6 1
7 8
8 2
9 20
10 6
11 2
12
Mexican Immigrant Self-Employment Along the U.S.-Mexico Border: An Analysis of 2000 Census Data
3
13 2
14
Language Maintenance among the Children of Immigrants: A Comparison of Border States with Other Regions of the U.S
15
15 64
16 16
17 7
18 20
19 28
20 13

About Marie T. Mora

Marie T. Mora is a scholar working on Linguistics and Language, Public Administration and Sociology and Political Science, having authored 46 papers that have together received 510 indexed citations. Recurring topics across this work include Migration and Labor Dynamics (27 papers), Migration, Ethnicity, and Economy (23 papers) and Multilingual Education and Policy (8 papers). The work is most often cited by research in Linguistics and Language (60 citations), Management of Technology and Innovation (82 citations) and Sociology and Political Science (346 citations). Marie T. Mora has collaborated with scholars based in United States and Latvia. Frequent co-authors include Alberto Dávila, Daniel J. Villa, André Varella Mollick, Alberto M. R. Dávila and Havidán Rodríguez. Their work appears in journals such as American Economic Review, International Migration Review and Entrepreneurship and Regional Development.

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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