Mario Macis

3.2k total citations
71 papers, 1.6k citations indexed

About

Mario Macis is a scholar working on Economics and Econometrics, Safety Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mario Macis has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 21 papers in Safety Research and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mario Macis's work include Experimental Behavioral Economics Studies (18 papers), Organ Donation and Transplantation (10 papers) and Labor market dynamics and wage inequality (10 papers). Mario Macis is often cited by papers focused on Experimental Behavioral Economics Studies (18 papers), Organ Donation and Transplantation (10 papers) and Labor market dynamics and wage inequality (10 papers). Mario Macis collaborates with scholars based in United States, Canada and Germany. Mario Macis's co-authors include Nicola Lacetera, Robert Slonim, Fabiano Schivardi, Mirco Tonin, Guglielmo Briscese, Luca Flabbi, Julio Elías, Andrea Moro, Qiao Wang and David K. Evans and has published in prestigious journals such as Science, PLoS ONE and American Economic Review.

In The Last Decade

Mario Macis

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Macis United States 19 505 451 421 299 246 71 1.6k
Tor Eriksson Denmark 25 845 1.7× 674 1.5× 540 1.3× 118 0.4× 58 0.2× 83 2.4k
Monica Gaughan United States 20 333 0.7× 291 0.6× 102 0.2× 343 1.1× 177 0.7× 40 1.8k
David J. Zimmerman United States 13 615 1.2× 635 1.4× 186 0.4× 182 0.6× 79 0.3× 18 1.8k
Daylian M. Cain United States 19 528 1.0× 710 1.6× 905 2.1× 75 0.3× 181 0.7× 30 2.5k
Vani K. Borooah United Kingdom 24 596 1.2× 969 2.1× 301 0.7× 56 0.2× 61 0.2× 142 2.2k
Lars Lefgren United States 23 727 1.4× 686 1.5× 319 0.8× 46 0.2× 131 0.5× 44 2.9k
Mariacristina Rossi Italy 14 496 1.0× 408 0.9× 139 0.3× 90 0.3× 33 0.1× 50 1.3k
Simon McGrath United Kingdom 25 311 0.6× 558 1.2× 259 0.6× 153 0.5× 57 0.2× 149 2.2k
Lynn Martin United Kingdom 21 103 0.2× 338 0.7× 84 0.2× 487 1.6× 87 0.4× 75 1.5k
Marianne Bitler United States 26 644 1.3× 466 1.0× 167 0.4× 82 0.3× 397 1.6× 76 2.5k

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-authorship network of co-authors of Mario Macis

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Macis. A scholar is included among the top collaborators of Mario Macis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Macis. Mario Macis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dai, Tinglong, et al.. (2025). Trust in AI-assisted health systems and AI’s trust in humans. 2(1). 11 indexed citations
2.
Gross, Marielle S., et al.. (2025). Decentralized Biobanking Pathway to Precision Medicine: Futures Study. Journal of Medical Internet Research. 27. e73965–e73965.
3.
4.
Ambagtsheer, Frederike, Eline M. Bunnik, Liset Pengel, et al.. (2024). Public Opinions on Removing Disincentives and Introducing Incentives for Organ Donation: Proposing a European Research Agenda. Transplant International. 37. 12483–12483. 3 indexed citations
5.
House, Julian, Nicola Lacetera, Mario Macis, & Nina Mažar. (2024). Nudging the nudger: Performance feedback and organ donor registrations. Journal of Health Economics. 97. 102914–102914.
6.
Elías, Julio, Nicola Lacetera, Mario Macis, Axel Ockenfels, & Alvin E. Roth. (2024). Quality and safety for substances of human origins: scientific evidence and the new EU regulations. BMJ Global Health. 9(4). e015122–e015122. 1 indexed citations
7.
Kampkötter, Patrick, Mario Macis, Jürgen Sauter, et al.. (2022). Improving the Availability of Unrelated Stem Cell Donors: Evidence from a Major Donor Registry. SSRN Electronic Journal. 1 indexed citations
8.
9.
Switzer, Galen E., Mario Macis, Rachel Fabi, et al.. (2018). Providing Level-of-Match Information to Perfectly Matched Unrelated Stem Cell Donors: Evaluating Acceptability and Potential Changes in Donor Availability. Biology of Blood and Marrow Transplantation. 24(10). 2110–2118. 3 indexed citations
10.
Grieco, Daniela, Nicola Lacetera, Mario Macis, & Daniela Di Martino. (2018). Motivating Cord Blood Donation with Information and Behavioral Nudges. Scientific Reports. 8(1). 252–252. 20 indexed citations
11.
Elías, Julio, Nicola Lacetera, Mario Macis, & Paola Salardi. (2017). Economic Development and the Regulation of Morally Contentious Activities. American Economic Review. 107(5). 76–80. 17 indexed citations
12.
Elías, Julio, Nicola Lacetera, & Mario Macis. (2015). Markets and Morals: An Experimental Survey Study. PLoS ONE. 10(6). e0127069–e0127069. 12 indexed citations
13.
Lacetera, Nicola, et al.. (2013). The effects of information, social and financial incentives on voluntary undirected blood donations: Evidence from a field experiment in Argentina. Social Science & Medicine. 98. 214–223. 44 indexed citations
14.
Lacetera, Nicola & Mario Macis. (2012). Time for Blood: The Effect of Paid Leave Legislation on Altruistic Behavior. The Journal of Law Economics and Organization. 29(6). 1384–1420. 29 indexed citations
15.
Lacetera, Nicola & Mario Macis. (2010). Do all material incentives for pro-social activities backfire? The response to cash and non-cash incentives for blood donations. Journal of Economic Psychology. 31(4). 738–748. 140 indexed citations
16.
Boeri, Tito & Mario Macis. (2009). Do unemployment benefits promote or hinder job reallocation?. Journal of Development Economics. 93(1). 109–125. 13 indexed citations
17.
Boeri, Tito, et al.. (2008). Labor regulations in developing countries : a review of the evidence and directions for future research. RePEc: Research Papers in Economics. 7 indexed citations
18.
Macis, Mario, et al.. (2008). Labor regulations in developing countries : a review of the evidence and directions for future research. RePEc: Research Papers in Economics. 1–76. 26 indexed citations
19.
Boeri, Tito & Mario Macis. (2008). Do Unemployment Benefits Promote or Hinder Structural Change?. SSRN Electronic Journal. 3 indexed citations
20.
Macis, Mario. (2001). Il mercato del lavoro e la giurisprudenza in materia di licenziamenti (Italia, 1989-1998). Diritto delle relazioni industriali: rivista della Associazione lavoro e riceche. 11(2). 269–284. 6 indexed citations

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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