M. Daniele Paserman
- Sociology and Political Science top 2%
- Economics and Econometrics top 2%
- Education top 2%
- Safety Research top 2%
- Gender Studies top 5%
- Co-authors
- Victor LavyEric D. GouldDavid A. JaegerAnalía SchlosserClaudia OlivettiStefano GagliarducciStefano DellaVignaSami H. Miaari
- Topics
- Migration and Labor Dynamics (7 papers)Migration, Ethnicity, and Economy (7 papers)Political Conflict and Governance (5 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
M. Daniele Paserman
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Sociology and Political Science 767
- Economics and Econometrics 513
- Education 431
- Safety Research 212
- Gender Studies 185
Countries citing papers authored by M. Daniele Paserman
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
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 of co-authors of M. Daniele Paserman
This figure shows the co-authorship network connecting the top 25 collaborators of M. Daniele Paserman. A scholar is included among the top collaborators of M. Daniele Paserman 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 M. Daniele Paserman. M. Daniele Paserman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 93 | |
| 5 | Intergenerational Mobility Across Three Generations in the 19th Century: Evidence from the US Census | 5 |
| 6 | 71 | |
| 7 | 73 | |
| 8 | 69 | |
| 9 | 106 | |
| 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. | 3 |
| 11 | 166 | |
| 12 | 115 | |
| 13 | 138 | |
| 14 | 91 | |
| 15 | 13 | |
| 16 | 25 | |
| 17 | Mass Migration to Israel and Natives' Transitions from Employment ∗ | 2 |
| 18 | 1 | |
| 19 | 82 | |
| 20 | 14 |
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) and Political Conflict and Governance (5 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.