Top 10 zotero.org Competitors

zbib.org

free, accurate citation and bibliography maker for apa, chicago, harvard, mla, and 10,000 other styles. no ads, no downloads, no account required.

lucid.app

go from imagining the future to building it. log in to access lucidchart for intelligent diagramming or lucidspark for virtual whiteboarding. teams can collaborate, ideate, and build projects in real time.

scholar.google.com

google scholar provides a simple way to broadly search for scholarly literature. search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

researchgate.net

Access 160+ million publication pages and connect with 25+ million researchers. Join for free and gain visibility by uploading your research.

pubmed.ncbi.nlm.nih.gov

Bhandari M - Search Results - PubMed

link.springer.com

providing access to millions of research articles and chapters from science, technology and medicine, and humanities and social sciences

sciencedirect.com

sciencedirect is the world's leading source for scientific, technical, and medical research. explore journals, books and articles.

onlinelibrary.wiley.com

one of the largest and most authoritative collections of online journals, books, and research resources, covering life, health, social, and physical sciences.

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.

jstor.org

jstor is a digital library of academic journals, books, and primary sources.