Gabriel Picone

1.7k citations
41 papers · 1.2k · h-index 17

Impact in

Papers in

Gabriel Picone

40 papers receiving 1.1k citations

Peers

Gabriel Picone
Comparison fields: 5 of 115
  • General Decision Sciences 39
  • General Health Professions 410
  • Gender Studies 140
  • Health 111
  • Economics and Econometrics 338
Replace Marcel Bilger with:
Marcel Bilger Singapore
M. Christopher Roebuck United States
Dennis Petrie Australia
Rhema Vaithianathan New Zealand
Steven Leadbetter United States
Upali W Jayasinghe Australia
Michael S. Barr United States
Zoë Oldfield United Kingdom
Sisira Sarma Canada
Varduhi Petrosyan Armenia
Gabriel Picone relative to Marcel Bilger Singapore Marcel Bilger's profile →
Citations per field
00.5×4.4×
Marcel Bilger · 1×
Citations per year

Countries citing papers authored by Gabriel Picone

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Picone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2003145
3 199695
4 200279
5 199777
6 200474
7 199870
8 200468
9 200454
10 200349
11 200540
12 200339
13 199926
14 199622
15 201022
16
Medicare home health agency utilization, 1984-1994.
199918
17 201016
18 201515
19 201611
20 20039

About Gabriel Picone

Gabriel Picone is a scholar working on Economics and Econometrics, General Health Professions, Epidemiology, Sociology and Political Science and Gender Studies, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Healthcare Policy and Management (10 papers), Global Health Care Issues (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Gender, Labor, and Family Dynamics (5 papers), Economic and Environmental Valuation (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Intergenerational Family Dynamics and Caregiving (3 papers) and Merger and Competition Analysis (2 papers). The work is most often cited by research in General Decision Sciences (39 citations), General Health Professions (410 citations), Gender Studies (140 citations), Health (111 citations) and Economics and Econometrics (338 citations). Gabriel Picone has collaborated with scholars based in United States, France and Ivory Coast. Frequent co-authors include Frank A. Sloan, Donald H. Taylor, Thomas J. Hoerger, Shin‐Yi Chou, Natallia Gray, Arseniy Yashkin, Paul P. Lee, Justin G. Trogdon, Derek S. Brown and Martı́n Uribe. Their work appears in journals such as Health Economics, Health Services Research, The Review of Economics and Statistics, International Journal of Health Care Finance and Economics and Empirical Economics.

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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