scispace - formally typeset
Search or ask a question
Institution

Colgate University

EducationHamilton, New York, United States
About: Colgate University is a education organization based out in Hamilton, New York, United States. It is known for research contribution in the topics: Population & Politics. The organization has 2009 authors who have published 3980 publications receiving 135220 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the authors describe the development and validation of a new instrument, KEYS: Assessing the Climate for Creativity, designed to assess perceived stimulants and obstacles to creativity in organizational work environments.
Abstract: We describe the development and validation of a new instrument, KEYS: Assessing the Climate for Creativity, designed to assess perceived stimulants and obstacles to creativity in organizational work environments. The KEYS scales have acceptable factor structures, internal consistencies, test-retest reliabilities, and preliminary convergent and discriminant validity. A construct validity study shows that perceived work environments, as assessed by the KEYS scales, discriminate between high-creativity projects and low-creativity projects; certain scales discriminate more strongly and consistently than others. We discuss the utility of this tool for research and practice.

5,240 citations

Journal ArticleDOI
Haidong Wang1, Mohsen Naghavi1, Christine Allen1, Ryan M Barber1  +841 moreInstitutions (293)
TL;DR: The Global Burden of Disease 2015 Study provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015, finding several countries in sub-Saharan Africa had very large gains in life expectancy, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.

4,804 citations

01 Jan 2008
TL;DR: Some of the recent work studying synchronization of coupled oscillators is discussed to demonstrate how NetworkX enables research in the field of computational networks.
Abstract: NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self-loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility makes NetworkX ideal for representing networks found in many dierent scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many more. NetworkX can read and write various graph formats for easy exchange with existing data, and provides generators for many classic graphs and popular graph models, such as the Erdos-Renyi, Small World, and Barabasi-Albert models. The ease-of-use and flexibility of the Python programming language together with connection to the SciPy tools make NetworkX a powerful tool for scientific computations. We discuss some of our recent work studying synchronization of coupled oscillators to demonstrate how NetworkX enables research in the field of computational networks.

3,741 citations

Journal ArticleDOI
TL;DR: The literature on cryptic and sibling species is synthesized and trends in their discovery are discussed, suggesting that the discovery of cryptic species is likely to be non-random with regard to taxon and biome and could have profound implications for evolutionary theory, biogeography and conservation planning.
Abstract: The taxonomic challenge posed by cryptic species (two or more distinct species classified as a single species) has been recognized for nearly 300 years, but the advent of relatively inexpensive and rapid DNA sequencing has given biologists a new tool for detecting and differentiating morphologically similar species. Here, we synthesize the literature on cryptic and sibling species and discuss trends in their discovery. However, a lack of systematic studies leaves many questions open, such as whether cryptic species are more common in particular habitats, latitudes or taxonomic groups. The discovery of cryptic species is likely to be non-random with regard to taxon and biome and, hence, could have profound implications for evolutionary theory, biogeography and conservation planning.

2,837 citations

Journal ArticleDOI
TL;DR: This review examines research about the structure of personality in childhood and in adulthood, with special attention to possible developmental changes in the lower-order components of broad traits.
Abstract: In this review, we evaluate four topics in the study of personality development where discernible progress has been made since 1995 (the last time the area of personality development was reviewed in this series). We (a) evaluate research about the structure of personality in childhood and in adulthood, with special attention to possible developmental changes in the lower-order components of broad traits; (b) summarize new directions in behavioral genetic studies of personality; (c) synthesize evidence from longitudinal studies to pinpoint where and when in the life course personality change is most likely to occur; and (d) document which personality traits influence social relationships, status attainment, and health, and the mechanisms by which these personality effects come about. In each of these four areas, we note gaps and identify priorities for further research.

2,221 citations


Authors

Showing all 2040 results

NameH-indexPapersCitations
John F. Dovidio10946646982
Alan Cooper10874645772
David Feldman9445733537
Todd Sandler8838228813
Jeyhan S. Kartaltepe8325933479
Michael V. Johnston8347725026
Michael Williams8053724704
Jim Leebens-Mack6618122399
Mark Crovella6519324101
Anita H. Corbett5718111044
Jerrold Meinwald5541111344
Laurence A. Nafie5332210738
Elizabeth J. McGrath519215145
Bijan Shirinzadeh513469364
Alan M. Gewirtz511569985
Network Information
Related Institutions (5)
University of Oregon
40.8K papers, 2.1M citations

86% related

University of California, Santa Barbara
80.8K papers, 4.6M citations

86% related

York University
43.3K papers, 1.5M citations

86% related

University at Albany, SUNY
21.3K papers, 886K citations

85% related

Arizona State University
109.6K papers, 4.4M citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202234
2021162
2020203
2019190
2018213