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Institution

University of Konstanz

EducationKonstanz, Baden-Württemberg, Germany
About: University of Konstanz is a(n) education organization based out in Konstanz, Baden-Württemberg, Germany. It is known for research contribution in the topic(s): Population & Visualization. The organization has 12115 authors who have published 27401 publication(s) receiving 951162 citation(s). The organization is also known as: University of Constance & Universität Konstanz.


Papers
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Journal ArticleDOI
28 Aug 2015-Science
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Abstract: Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.

4,564 citations

Journal ArticleDOI
TL;DR: New algorithms for betweenness are introduced in this paper and require O(n + m) space and run in O(nm) and O( nm + n2 log n) time on unweighted and weighted networks, respectively, where m is the number of links.
Abstract: Motivated by the fast‐growing need to compute centrality indices on large, yet very sparse, networks, new algorithms for betweenness are introduced in this paper. They require O(n + m) space and run in O(nm) and O(nm + n2 log n) time on unweighted and weighted networks, respectively, where m is the number of links. Experimental evidence is provided that this substantially increases the range of networks for which centrality analysis is feasible. The betweenness centrality index is essential in the analysis of social networks, but costly to compute. Currently, the fastest known algorithms require ?(n 3) time and ?(n 2) space, where n is the number of actors in the network.

3,637 citations

Posted ContentDOI
TL;DR: The theory takes into account that people evaluate the kindness of an action not only by its consequences but also by the intention underlying this action, and explains the relevant stylized facts of a wide range of experimental games.
Abstract: This paper presents a formal theory of reciprocity. Reciprocity means that people reward kind actions and punish unkind ones. The theory takes into account that people evaluate the kindness of an action not only by its consequences but also by the intention underlying this action. The theory explains the relevant stylized facts of a wide range of experimental games. Among them are the ultimatum game, the gift-exchange game, a reduced best-shot game, the dictator game, the prisoner's dilemma, and public goods games. Furthermore, the theory explains why the same consequences trigger different reciprocal responses in different environments Finally the theory explains why in bilaterial interactions outcomes tend to be "fair" whereas in competitive markets even extremely unfair distributions may arise.

2,084 citations

Journal ArticleDOI
TL;DR: New guidelines for recording ERPs are presented and criteria for publishing the results are presented, which allow different studies to be compared readily.
Abstract: Event-related potentials ~ERPs! recorded from the human scalp can provide important information about how the human brain normally processes information and about how this processing may go awry in neurological or psychiatric disorders. Scientists using or studying ERPs must strive to overcome the many technical problems that can occur in the recording and analysis of these potentials. The methods and the results of these ERP studies must be published in a way that allows other scientists to understand exactly what was done so that they can, if necessary, replicate the experiments. The data must then be analyzed and presented in a way that allows different studies to be compared readily. This paper presents guidelines for recording ERPs and criteria for publishing the results.

1,909 citations

Journal ArticleDOI
01 Oct 1995-Neuron
TL;DR: It is shown that glutamate can induce either early necrosis or delayed apoptosis in cultures of cerebellar granule cells, suggesting that mitochondrial function is a critical factor that determines the mode of neuronal death in excitotoxicity.
Abstract: During ischemic brain injury, glutamate accumulation leads to overstimulation of postsynaptic glutamate receptors with intracellular Ca2+ overload and neuronal cell death. Here we show that glutamate can induce either early necrosis or delayed apoptosis in cultures of cerebellar granule cells. During and shortly after exposure to glutamate, a subpopulation of neurons died by necrosis. In these cells, mitochondrial membrane potential collapsed, nuclei swelled, and intracellular debris were scattered in the incubation medium. Neurons surviving the early necrotic phase recovered mitochondrial potential and energy levels. Later, they underwent apoptosis, as shown by the formation of apoptotic nuclei and by chromatin degradation into high and low molecular weight fragments. These results suggest that mitochondrial function is a critical factor that determines the mode of neuronal death in excitotoxicity.

1,865 citations


Authors

Showing all 12115 results

NameH-indexPapersCitations
Robert E. W. Hancock15277588481
Lloyd J. Old152775101377
Andrew White1491494113874
Stefanie Dimmeler14757481658
Rudolf Amann14345985525
Niels Birbaumer14283577853
Thomas P. Russell141101280055
Emmanuelle Perez138155099016
Shlomo Havlin131101383347
Bruno S. Frey11990065368
Roald Hoffmann11687059470
Michael G. Fehlings116118957003
Yves Van de Peer11549461479
Axel Meyer11251151195
Manuela Campanelli11167548563
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202212
20211,360
20201,299
20191,166
20181,082
20171,129