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Institution

International Institute for Applied Systems Analysis

NonprofitLaxenburg, Austria
About: International Institute for Applied Systems Analysis is a nonprofit organization based out in Laxenburg, Austria. It is known for research contribution in the topics: Population & Greenhouse gas. The organization has 1369 authors who have published 5075 publications receiving 280467 citations. The organization is also known as: IIASA.


Papers
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Journal ArticleDOI
TL;DR: A review of the state of scientific understanding in relation to global and regional air quality is outlined in this article, in terms of emissions, processing and transport of trace gases and aerosols.

760 citations

Journal ArticleDOI
TL;DR: A new analysis shows that global warming could be limited to 1.5 °C by 2100, but that the window for achieving this is small and rapidly closing as mentioned in this paper, but this analysis does not consider the effects of human activities.
Abstract: A new analysis shows that global warming could be limited to 1.5 °C by 2100, but that the window for achieving this is small and rapidly closing.

757 citations

Journal ArticleDOI
TL;DR: In this article, a long-term hydrogen-based scenario of the global energy system is described in qualitative and quantitative terms, illustrating the key role of hydrogen in a longterm transition toward a clean and sustainable energy future.

756 citations

Journal ArticleDOI
TL;DR: In this paper, an economic partial equilibrium model of the global forest, agriculture, and biomass sectors with a bottom-up representation of agricultural and forestry management practices was used to analyze the indirect land use change (iLUC) of expanding agricultural areas dedicated to biofuel production.

755 citations

Journal ArticleDOI
08 Sep 2000-Science
TL;DR: It is shown that fairness will evolve if the proposer can obtain some information on what deals the responder has accepted in the past, and similarly to the evolution of cooperation, is linked to reputation.
Abstract: In the Ultimatum Game, two players are offered a chance to win a certain sum of money. All they must do is divide it. The proposer suggests how to split the sum. The responder can accept or reject the deal. If the deal is rejected, neither player gets anything. The rational solution, suggested by game theory, is for the proposer to offer the smallest possible share and for the responder to accept it. If humans play the game, however, the most frequent outcome is a fair share. In this paper, we develop an evolutionary approach to the Ultimatum Game. We show that fairness will evolve if the proposer can obtain some information on what deals the responder has accepted in the past. Hence, the evolution of fairness, similarly to the evolution of cooperation, is linked to reputation.

744 citations


Authors

Showing all 1418 results

NameH-indexPapersCitations
Martin A. Nowak14859194394
Paul J. Crutzen13046180651
Andreas Richter11076948262
David G. Streets10636442154
Drew Shindell10234049481
Wei Liu102292765228
Jean-Francois Lamarque10038555326
Frank Dentener9722058666
James W. Vaupel8943434286
Keywan Riahi8731858030
Larry W. Horowitz8525328706
Robert J. Scholes8425337019
Mark A. Sutton8342330716
Brian Walsh8223329589
Börje Johansson8287130985
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
202263
2021414
2020406
2019383
2018325