M. Daniele Paserman

3.0k citations
33 papers · 1.5k indexed · h-index 19

M. Daniele Paserman

32 papers receiving 1.4k citations

Peers

M. Daniele Paserman
Comparison fields: 5 of 79
  • General Decision Sciences 72
  • Safety Research 212
  • Gender Studies 185
  • Economics and Econometrics 513
  • Sociology and Political Science 767
Replace Alain Trannoy with:
Alain Trannoy France
Ingvild Almås Sweden
Şule Alan United Kingdom
Pamela Jakiela United States
Thomas Cornelißen Germany
Shoshana Neuman Israel
Danila Serra United States
Marc Gurgand France
Claudio Lucifora Italy
Ghazala Azmat Spain
M. Daniele Paserman relative to Alain Trannoy France Alain Trannoy's profile →
Citations per field
00.5×1.5×1.8×
Alain Trannoy · 1×
Citations per year

Countries citing papers authored by M. Daniele Paserman

Since Specialization
Citations

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

Fields of papers citing papers by M. Daniele Paserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Daniele Paserman. 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 M. Daniele Paserman. The network helps show where M. Daniele Paserman may publish in the future.

Co-authorship network

The 12 scholars most cited alongside M. Daniele Paserman, 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 M. Daniele Paserman Line = papers co-authored together M. Daniele Paserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202313
2 20201
3 201816
4 201593
5
Intergenerational Mobility Across Three Generations in the 19th Century: Evidence from the US Census
20145
6 201171
7 201173
8 201169
9 2011106
10
Sixty Years after the Magic Carpet Ride: The Long-Run Effect of the Early Childhood Environment on Social and Economic Outcomes. NBER Working Paper No. 14884.
20093
11 2009166
12 2008115
13 2008138
14 200791
15 200613
16 200525
17
Mass Migration to Israel and Natives' Transitions from Employment ∗
20042
18 20041
19 200482
20 200114

About M. Daniele Paserman

M. Daniele Paserman is a scholar working on Gender Studies, Safety Research and Sociology and Political Science, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Migration and Labor Dynamics (7 papers), Migration, Ethnicity, and Economy (7 papers), Political Conflict and Governance (5 papers), Terrorism, Counterterrorism, and Political Violence (5 papers), School Choice and Performance (5 papers), Gender, Labor, and Family Dynamics (4 papers), Urban, Neighborhood, and Segregation Studies (4 papers) and Parental Involvement in Education (3 papers). The work is most often cited by research in General Decision Sciences (72 citations), Safety Research (212 citations) and Gender Studies (185 citations). M. Daniele Paserman has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Victor Lavy, Eric D. Gould, David A. Jaeger, Analía Schlosser, Claudia Olivetti, Stefano Gagliarducci, Stefano DellaVigna, Sami H. Miaari, Esteban F. Klor and Zvika Neeman. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and The Economic Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026