At the dated check, the references listed below either did not resolve in
Crossref or DataCite, or carried a retraction notice. Each one is shown with the
registry record that put it there.
The 70 checked references that resolve
resolves10.1177/2158244019829575Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories
resolves10.1007/s11192-015-1537-2What can university administrators do to increase the publication and citation scores of their faculty members?
resolves10.1016/j.respol.2018.07.021The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions?
resolves10.1002/asi.10230Indicator‐assisted evaluation and funding of research: Visualizing the influence of grants on the number and citation counts of research papers
resolves10.1007/s11192-010-0333-2Effect on the journal impact factor of the number and document type of citing records: a wide-scale study
resolves10.1111/hequ.12185Do performance‐based research funding systems affect research production and impact?
resolves10.1007/s11192-005-0276-1A scientometric model for the assessment of scientific research performance within public institutes
resolves10.1504/IJTIS.2015.074642Spatial relation between geo-climate zones and technological outputs to explain the evolution of technology
resolves10.1007/s11192-018-2902-8General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology
resolves10.3390/su12229709How (Un)sustainable Environments Are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease 2019, Air Pollution, Wind Resource and Energy
resolves10.1007/s11192-020-03464-yThe evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics
resolves10.1016/j.scitotenv.2021.145801The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the deterioration of economic system
resolves10.1007/s11192-021-04172-xEvolution and structure of research fields driven by crises and environmental threats: the COVID-19 research
resolves10.1007/s11356-020-11662-7Effects of the spread of COVID-19 on public health of polluted cities: results of the first wave for explaining the dejà vu in the second wave of COVID-19 pandemic and epidemics of future vital agents
resolves10.1007/s11192-016-2027-xAllometric models to measure and analyze the evolution of international research collaboration
resolves10.1007/s11192-014-1427-zThe impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis
resolves10.3390/s21237803Scientific Developments and New Technological Trajectories in Sensor Research
resolves10.1007/s12570-013-0174-6Association of scientific and nonscientific factors to citation rates of articles of renowned orthopedic journals
resolves10.1057/s41599-021-00891-xThe value of research funding for knowledge creation and dissemination: A study of SNSF Research Grants
resolves10.1002/asi.21232The impact factor's Matthew Effect: A natural experiment in bibliometrics
resolves10.1002/asi.24109The Relative Influences of Government Funding and International Collaboration on Citation Impact
resolves10.1093/rev/7.1.7Evaluating the research activity and impact of funding agencies
resolves10.1086/354848The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property
resolves10.1007/s11192-020-03652-wIs open access publication useful for all research fields? Presence of funding, collaboration and impact
resolves10.1016/j.heliyon.2021.e05998How self-determination of scholars outclasses shrinking public research lab budgets, supporting scientific production: a case study and R&D management implications
resolves10.1073/pnas.1010757107Nonuniversal power law scaling in the probability distribution of scientific citations
resolves10.1002/ev.261Evaluation of large research initiatives: Outcomes, challenges, and methodological considerations
resolves10.1073/pnas.0806977105Universality of citation distributions: Toward an objective measure of scientific impact
resolves10.1007/s11192-012-0779-5Looking for the impact of peer review: does count of funding acknowledgements really predict research impact?
resolves10.1007/s11192-019-03022-1Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment
resolves10.1002/asi.23759The scaling relationship between citation‐based performance and coauthorship patterns in natural sciences
resolves10.1007/s11192-017-2612-7The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals
resolves10.1007/s11192-021-04077-9What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines
resolves10.1002/asi.20761Bibliometric statistical properties of the 100 largest European research universities: Prevalent scaling rules in the science system
resolves10.1007/s11192-011-0362-5Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology
resolves10.1007/s11192-017-2583-8The funding factor: a cross-disciplinary examination of the association between research funding and citation impact
The 5 references without a DOI — listed, not checked
no DOI — not checkedCoccia, M. (2019b). Metabolism of public research organizations: How do laboratories consume state subsidies? Public Organization Review.
no DOI — not checkedCoccia, M., & Benati, I. (2018). Comparative Models of Inquiry. In A. Farazmand (Ed.), Global encyclopedia of public administration, public policy, and governance. Heidelberg: Springer International Publishing.
no DOI — not checkedFerraro, K. F., Shippee, T. P., & Schafer, M. H. (2009). Cumulative inequality theory for research on aging and the life course. In V. L. Bengston, D. Gans, N. M. Pulney, & M. Silverstein (Eds.), Handbook of theories of aging (pp. 413–433). Springer.
no DOI — not checkedLeguendre, P., & Leguendre, L. (2012). Numerical ecology (3rd ed.). Elsevier B. V.
no DOI — not checkedScopus. (2021). Scopu. Searchin:Startexploring,https://www.scopus.com/search/form.uri?display=basic#basic
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