Mario Macis

3.3k citations
53 papers · 1.4k · h-index 18

Impact in

Papers in

Mario Macis

49 papers receiving 1.3k citations

Peers

Mario Macis
Comparison fields: 5 of 107
  • General Decision Sciences 77
  • Safety Research 346
  • Management of Technology and Innovation 292
  • Gender Studies 136
  • Economics and Econometrics 330
Replace Iwan Barankay with:
Iwan Barankay United States
Carol A. Heimer United States
Edoardo Lozza Italy
A. Abigail Payne Canada
Lars John Lefgren United States
Claire Callender United Kingdom
Ho Fai Chan Australia
Patrick Michael Rooney United States
Robin A Naylor United Kingdom
Paula L. Rechner United States
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Citations per field
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Citations per year

Countries citing papers authored by Mario Macis

Since Specialization
Citations

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

Fields of papers citing papers by Mario Macis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010182
2 2019140
3 2010139
4 2012124
5 2013110
6 2018109
7 201482
8 201958
9 201345
10 201341
11 201638
12 201636
13 202532
14 201532
15 201231
16
Labor regulations in developing countries : a review of the evidence and directions for future research
200824
17 201719
18 201819
19 201515
20 200912

About Mario Macis

Mario Macis is a scholar working on Safety Research, Economics and Econometrics, Management of Technology and Innovation, Public Health, Environmental and Occupational Health and General Health Professions, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (13 papers), Organ Donation and Transplantation (11 papers), Blood donation and transfusion practices (9 papers), Labor market dynamics and wage inequality (5 papers), Taxation and Compliance Studies (5 papers), Employment and Welfare Studies (5 papers), Psychology of Moral and Emotional Judgment (4 papers) and Palliative Care and End-of-Life Issues (4 papers). The work is most often cited by research in General Decision Sciences (77 citations), Safety Research (346 citations), Management of Technology and Innovation (292 citations), Gender Studies (136 citations) and Economics and Econometrics (330 citations). Mario Macis has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Nicola Lacetera, Robert L. Slonim, Fabiano Schivardi, Julio Jorge Elias, Andrea Moro, Luca Flabbi, David K. Evans, Qiao Wang, Sarah See Stith and Angelo Mele. Their work appears in journals such as Science, American Economic Review, Journal of Development Economics, BMJ Global Health and Management Science.

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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