Scientific and Technological Developments in Brain-Computer Interfaces: Dual Bibliometric Analysis of Articles and Patents. [PDF]
Wang J, Yuan Y, Xu H, Luan G.
europepmc +1 more source
Structure of scientific knowledge flows to intergovernmental organizations. [PDF]
Asatani K +5 more
europepmc +1 more source
Childhood adversity and autoimmune diseases: global research landscape, immune-related hotspots, and emerging trends from a bibliometric analysis of three databases. [PDF]
Xu H, Jin L, Jin H, Wang B, Ding X.
europepmc +1 more source
Teleophthalmology and Remote Eye Care: A Bibliometric Analysis of the 50 Most Highly Cited Articles From 2000 to 2025. [PDF]
Alshahrani NK +6 more
europepmc +1 more source
Exploring the Interdisciplinarity Patterns of Highly Cited Papers
Abstract This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster ...
Clément Arsenault +2 more
exaly +5 more sources
Highly-Cited Papers in Software Engineering: The Top-100 [PDF]
Abstract Context According to the search reported in this paper, as of this writing (May 2015), a very large number of papers (more than 70,000) have been published in the area of Software Engineering (SE) since its inception in 1968. Citations are crucial in any research area to position the work and to build on the work of others.
Vahid Garousi, João M Fernandes
exaly +6 more sources
Related searches:
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, 2011In 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 +2 more sources
Highly cited old papers and the reasons why they continue to be cited
Journal of the American Society for Information Science, 1978AbstractThis 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 +2 more sources

