Neeraj Kaushal

3.4k citations
76 papers · 1.9k · h-index 25

Impact in

Papers in

Neeraj Kaushal

71 papers receiving 1.8k citations

Peers

Neeraj Kaushal
Comparison fields: 5 of 108
  • Gender Studies 396
  • General Health Professions 656
  • Sociology and Political Science 1.0k
  • Clinical Psychology 369
  • Health 140
Replace Christopher Wimer with:
Christopher Wimer United States
Kristin F. Butcher United States
Almudena Sevilla United Kingdom
Susan Mayer United States
C. Katharina Spieß Germany
Erdal Tekin United States
Laura Tach United States
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Citations per field
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Citations per year

Countries citing papers authored by Neeraj Kaushal

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kaushal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neeraj Kaushal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neeraj Kaushal Line = papers co-authored together Neeraj Kaushal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 201594
3 200893
4 200589
5 200787
6 201481
7 200679
8 200878
9 200577
10 200170
11 201370
12 202169
13 200358
14 201856
15 201153
16 201649
17 202047
18 200745
19 201541
20 201634

About Neeraj Kaushal

Neeraj Kaushal is a scholar working on Sociology and Political Science, Gender Studies, General Health Professions, Clinical Psychology and Demography, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (23 papers), Migration and Labor Dynamics (22 papers), Migration, Health and Trauma (16 papers), Income, Poverty, and Inequality (12 papers), Employment and Welfare Studies (12 papers), Urban, Neighborhood, and Segregation Studies (7 papers), Poverty, Education, and Child Welfare (6 papers) and Family Dynamics and Relationships (5 papers). The work is most often cited by research in Gender Studies (396 citations), General Health Professions (656 citations), Sociology and Political Science (1.0k citations), Clinical Psychology (369 citations) and Health (140 citations). Neeraj Kaushal has collaborated with scholars based in United States, Hong Kong and Jordan. Frequent co-authors include Robert Kaestner, Jane Waldfogel, Irwin Garfinkel, Yao Lu, Julia Shu‐Huah Wang, Christopher Wimer, Felix M. Muchomba, Vanessa R. Wight, Liana Fox and Irv Garfinkel. Their work appears in journals such as Journal of Policy Analysis and Management, Journal of Population Economics, World Development, International Migration Review and Industrial and Labor Relations Review.

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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