Tomaz Cajner

1.3k citations
23 papers · 487 indexed · h-index 11

Impact in

Papers in

Tomaz Cajner

23 papers receiving 450 citations

Peers

Tomaz Cajner
Comparison fields: 5 of 54
  • Economics and Econometrics 322
  • Modeling and Simulation 53
  • General Economics, Econometrics and Finance 74
  • General Health Professions 176
  • Demography 72
Replace Thomas Le Barbanchon with:
Thomas Le Barbanchon Italy
John Grigsby United States
Matthew Dey United States
David Wiczer United States
Guido Matías Cortés Canada
Simon Mongey United States
Meng‐Wen Tsou Taiwan
Eliza Forsythe United States
Lena Hensvik Sweden
Wolter Hassink Netherlands
Tomaz Cajner relative to Thomas Le Barbanchon Italy Thomas Le Barbanchon's profile →
Citations per field
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Thomas Le Barbanchon · 1×
Citations per year

Countries citing papers authored by Tomaz Cajner

Since Specialization
Citations

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

Fields of papers citing papers by Tomaz Cajner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Tomaz Cajner, 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 Tomaz Cajner Line = papers co-authored together Tomaz Cajner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20231
4 20233
5 20221
6 202035
7 202018
8 202050
9 202063
10 202021
11 20193
12 20192
13 201810
14 201737
15 201493
16 20144
17 20144
18 20145
19 201420
20 201423

About Tomaz Cajner

Tomaz Cajner is a scholar working on Economics and Econometrics, Modeling and Simulation, General Health Professions, Demography and Public Administration, having authored 23 papers that have together received 487 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (15 papers), Employment and Welfare Studies (10 papers), COVID-19 Pandemic Impacts (5 papers), Firm Innovation and Growth (5 papers), Retirement, Disability, and Employment (4 papers), COVID-19 epidemiological studies (3 papers), Economic Policies and Impacts (2 papers) and Gender, Labor, and Family Dynamics (2 papers). The work is most often cited by research in Economics and Econometrics (322 citations), Modeling and Simulation (53 citations), General Economics, Econometrics and Finance (74 citations), General Health Professions (176 citations) and Demography (72 citations). Tomaz Cajner has collaborated with scholars based in United States and Spain. Frequent co-authors include C Kurz, Leland D. Crane, Adrian Hamins-Puertolas, Ryan A. Decker, Stephanie Aaronson, William Wascher, David Ratner, Bruce Fallick, Chris Smith and Erik Hurst. Their work appears in journals such as Brookings Papers on Economic Activity, Journal of money credit and banking, The Economic Journal, CESifo Economic Studies and Finance and Economics Discussion Series.

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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