Federico Toth

48 papers receiving 438 citations

Peers

Federico Toth
Comparison fields: 5 of 77
  • Public Administration 41
  • Health 60
  • General Health Professions 174
  • Health Information Management 22
  • Economics and Econometrics 115
Replace Liina‐Kaisa Tynkkynen with:
Liina‐Kaisa Tynkkynen Finland
George France Italy
Tim Tenbensel New Zealand
Govin Permanand Denmark
Miriam Laugesen United States
Peyvand Khaleghian United States
Pamela Nadash United States
Kieke G. H. Okma United States
Sarah Barry Ireland
Dahai Zhao China
Federico Toth relative to Liina‐Kaisa Tynkkynen Finland Liina‐Kaisa Tynkkynen's profile →
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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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 201646
3 200932
4 202227
5 202017
6 202315
7 201515
8 201615
9 202013
10 202113
11 202312
12 202412
13 202012
14 201012
15 201511
16 202311
17 202311
18 201811
19 202110
20 20239

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 54 papers that have together received 470 indexed citations. Recurring topics across this work include Healthcare Policy and Management (11 papers), Global Health Care Issues (11 papers), Social Policy and Reform Studies (9 papers), Vaccine Coverage and Hesitancy (5 papers), Employment and Welfare Studies (5 papers), Healthcare innovation and challenges (5 papers), Evaluation and Performance Assessment (3 papers) and Public Policy and Administration Research (3 papers). The work is most often cited by research in Public Administration (41 citations), Health (60 citations), General Health Professions (174 citations), Health Information Management (22 citations) and Economics and Econometrics (115 citations). Federico Toth has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giliberto Capano, Mattia Casula, Stefania Profeti, Paul Cairney, Andrea Terlizzi, Maria Pia Fantini, Anthony R. Zito, Jeremy Rayner, Jacopo Lenzi and Julie Leask. Their work appears in journals such as Health Policy, Journal of Health Politics Policy and Law, Health Economics Policy and Law, Policy Design and Practice and Social Science & Medicine.

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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