Federico Toth

850 citations
45 papers · 387 · h-index 11

Impact in

Papers in

Federico Toth

41 papers receiving 371 citations

Peers

Federico Toth
Comparison fields: 5 of 80
  • Public Administration 39
  • Health 71
  • General Health Professions 164
  • Modeling and Simulation 29
  • Health Information Management 23
Replace Dahai Zhao with:
Dahai Zhao China
Tiago Correia Portugal
Peyvand Khaleghian United States
George France Italy
Tim Tenbensel New Zealand
Chris Painter United Kingdom
Peter Tsasis Canada
André Peralta‐Santos Portugal
Govin Permanand Denmark
Henry Ashworth United States
Federico Toth relative to Dahai Zhao China Dahai Zhao's profile →
Citations per field
00.5×4.6×
Dahai Zhao · 1×
Citations per year

Countries citing papers authored by Federico Toth

Since Specialization
Citations

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

Fields of papers citing papers by Federico Toth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Federico Toth, 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 Federico Toth Line = papers co-authored together Federico Toth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 201640
3 200931
4 202227
5 202017
6 201515
7 202313
8 202012
9 202312
10 202011
11 201011
12 201610
13 20239
14 20219
15 20248
16 20188
17 20158
18 20238
19 20237
20
The Yellow-Green Government and the Thorny Issue of Childhood Routine Vaccination
20187

About Federico Toth

Federico Toth is a scholar working on General Health Professions, Economics and Econometrics, Political Science and International Relations, Sociology and Political Science and Health, having authored 45 papers that have together received 387 indexed citations. Recurring topics across this work include Global Health Care Issues (11 papers), Healthcare Policy and Management (10 papers), Vaccine Coverage and Hesitancy (5 papers), Social Policy and Reform Studies (5 papers), Healthcare innovation and challenges (5 papers), Employment and Welfare Studies (5 papers), Public Policy and Administration Research (3 papers) and Healthcare Systems and Challenges (3 papers). The work is most often cited by research in Public Administration (39 citations), Health (71 citations), General Health Professions (164 citations), Modeling and Simulation (29 citations) and Health Information Management (23 citations). Federico Toth has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Giliberto Capano, Mattia Casula, Stefania Profeti, Paul Cairney, Maria Pia Fantini, Jacopo Lenzi, Elisa Maietti, Jeremy Rayner, Heidi J. Larson and Anthony R. Zito. Their work appears in journals such as Health Policy, Health Economics Policy and Law, Journal of Health Politics Policy and Law, Policy and Society and Policy Studies.

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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