Results 51 to 60 of about 87,210 (250)
Exploring the collaboration networks between highly cited researchers in highly cited papers
Abstract Collaboration between researchers has been shown to influence their productivity and scientific impact. Although these ties have been widely discussed in the literature, the nature of the co-authorship networks between the most successful scholars remains a question.
Zsolt Kohus +6 more
openaire +1 more source
Characteristics of Malaysian highly cited papers
Highly cited papers serve as a proxy for excellence. In this paper, we identify Malaysia’s highly-cited papers and explore the characteristics of these papers. The research question posed is “What characterizes Malaysian highly cited papers?” This study adopts the definition by Thomson Reuters Essential Science Indicator, i.e.
A. Noorhidawati +3 more
openaire +2 more sources
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
How Many Is Too Many? On the Relationship between Research Productivity and Impact. [PDF]
Over the last few decades, the institutionalisation of quantitative research evaluations has created incentives for scholars to publish as many papers as possible.
Vincent Larivière, Rodrigo Costas
doaj +1 more source
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil +2 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Neuromarketing, consumer neuroscience and neuroaesthetics are a broad research area of neuroscience with an extensive background in scientific publications.
Pablo Sánchez-Núñez +4 more
doaj +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Study of Highly Cited Papers on Antineoplastic Drugs
Abstract The objective of this paper is to study the highly cited papers (papers cited more than 30 times) on antineoplastic drugs, and to provide reference for quality improvement and influence increase of journals. Bibliometric analysis of cited papers on antineoplastic drugs published between 1999 and 2018 is conducted by using the ...
Qinghui Qu +4 more
openaire +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source

