Results 221 to 230 of about 171,668 (263)
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Highly cited papers in rheumatology: identification and conceptual analysis

Scientometrics, 2018
Rheumatology is a broad research area with an extensive background in scientific publications. Thus, the present study aims to identify the highly cited papers in Rheumatology research field, analyzing some aspects such as the documents distribution by years, journals, authors, institutions and countries.
V. Pérez-Cabezas   +5 more
semanticscholar   +2 more sources

Top 100 highly cited papers from India on COVID-19 research: A bibliometric analysis of the core literature.

Diabetes & metabolic syndrome, 2023
BACKGROUND AND AIMS This study aimed to assess the current status of India's COVID-19 research from the top 100 most cited papers, using bibliometrics methods and indicators and suggest strengths and weaknesses.
R. Vaishya   +5 more
semanticscholar   +1 more source

Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based approach

J. Informetrics, 2021
There is a literature gap regarding the period representativeness bias associated with sample selection in longitudinal bibliometric studies. The purpose of this paper is to analyse and compare, in terms of period representativeness, the common methods ...
Gerson Pech, Catarina J. M. Delgado
semanticscholar   +1 more source

Highly cited retracted papers

Scientometrics, 2017
We examine the number of citations in 10 highly cited retracted papers, and compare their current pre- and post-citation values. We offer some possible explanations for the continued citation of these retracted papers, and point out some of the risks that may be involved for the communities that continue to cite them.
Jaime A. Teixeira da Silva   +1 more
openaire   +1 more source

Mining typical features for highly cited papers

Scientometrics, 2011
In this paper, we discuss the application of the data mining tools to identify typical features for highly cited papers (HCPs). By integrating papers' external features and quality features, the feature space used to model HCPs was established. Then, a series of predictor teams were extracted from the feature space with rough set reduction framework ...
Ming-Yang Wang 0001, Guang Yu, Daren Yu
openaire   +1 more source

Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

J. Informetrics, 2020
The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention.
Ya-Han Hu   +3 more
semanticscholar   +1 more source

Critical research advancements of flipped learning: a review of the top 100 highly cited papers

Interactive Learning Environments, 2020
Highly cited articles have been revealed as being informative for research fields, topics, and trends. Through reading highly cited articles, researchers can gain fruitful results from previous studies and can identify essential clues and potential ...
Shu-Chen Cheng   +2 more
semanticscholar   +1 more source

Trends of mobile learning: A review of the top 100 highly cited papers

British Journal of Educational Technology, 2019
Highly cited papers can be representative of the latest changes in specific research issues, as they reflect the important issues or research trends that researchers have paid attention to recently.
Chiu-Lin Lai
semanticscholar   +1 more source

Highly cited old papers and the reasons why they continue to be cited

Journal of the American Society for Information Science, 1978
AbstractThis article describes a study to ascertain the reasons why certain old papers are still highly cited many years after their publication. Twenty‐three old papers in the subject fields of physics and physical chemistry which are still highly cited were selected, and 978 of the papers that cited them in the period 1974–1975 were studied.
Charles Oppenheim, Susan P. Renn
openaire   +1 more source

Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators

Omega, 2019
The Essential Science Indicators (ESI) database is widely used to assess scientific outputs. The ESI database contains papers that entered the top 1% of sum citations in one discipline in the past ten years. Therefore, highly cited papers included in ESI
Huchang Liao   +3 more
semanticscholar   +1 more source

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