Tomaz Cajner

1.3k citations
18 papers · 366 · h-index 9

Impact in

Papers in

Tomaz Cajner

18 papers receiving 328 citations

Peers

Tomaz Cajner
Comparison fields: 5 of 50
  • Economics and Econometrics 235
  • General Economics, Econometrics and Finance 57
  • General Health Professions 129
  • Modeling and Simulation 25
  • Demography 56
Replace Thomas Le Barbanchon with:
Thomas Le Barbanchon Italy
Guido Matías Cortés Canada
Matthew S. Dey United States
José I. Silva Spain
Marta Fana Spain
Jajati Keshari Parida India
David G. Wiczer United States
Simone Schotte Finland
Brantly Callaway United States
Allan Dizioli United States
Tomaz Cajner relative to Thomas Le Barbanchon Italy Thomas Le Barbanchon's profile →
Citations per field
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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-authors

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

18 of 18 papers shown
#Work
1 201486
2 201679
3 202049
4 201736
5 202033
6 201423
7 201416
8 202015
9 201810
10 20215
11 20143
12 20193
13 20242
14 20192
15 20231
16 20241
17 20231
18 20221

About Tomaz Cajner

Tomaz Cajner is a scholar working on Economics and Econometrics, General Health Professions, Demography, Modeling and Simulation and Gender Studies, having authored 18 papers that have together received 366 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (13 papers), Employment and Welfare Studies (7 papers), Firm Innovation and Growth (5 papers), Retirement, Disability, and Employment (3 papers), COVID-19 Pandemic Impacts (3 papers), Fiscal Policy and Economic Growth (2 papers), COVID-19 epidemiological studies (2 papers) and Economic Policies and Impacts (2 papers). The work is most often cited by research in Economics and Econometrics (235 citations), General Economics, Econometrics and Finance (57 citations), General Health Professions (129 citations), Modeling and Simulation (25 citations) and Demography (56 citations). Tomaz Cajner has collaborated with scholars based in United States and Spain. Frequent co-authors include Stephanie R. Aaronson, Bruce Chelimsky Fallick, William L. Wascher, Christopher Johann Kurz, Leland D. Crane, David Ratner, Ryan A. Decker, Adrian Hamins-Puertolas, Chris E Smith and Ivan Vidangos. Their work appears in journals such as Brookings Papers on Economic Activity, CESifo Economic Studies, Journal of money credit and banking, The Economic Journal and FEDS Notes.

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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