Interdisciplinary research, nanotechnology, nanoscience, diversity, indicators, network analysis

Ismael Rafols

Martin Meyer

English

Research Papers in Economics

A conceptual vocabulary of interdisciplinary science’. In

A general framework for analysing diversity in science, technology and society.

A map of science.

A measure for the cohesion of weighted networks.

A Methodological Study for Measuring the Diversity of Science.

A new technique for building maps of large scientific domains based on the cocitation of classes and categories.

A quantitative assessment of interdisciplinary structures in science and technology: co-classification analysis of energy research.

An indicator of cross-disciplinary research.

Analysis of cross-disciplinary research through bibliometric tools.

Assessment of the scientific basis of interdisciplinarity, applied research. Application of bibliometric methods in Nutrition and Food Research.

Betweenness centrality as an indicator of the interdisciplinarity of scientific journals.

Bibexcel. A tool-box programme for bibliometric analysis.

Citation-networks, science landscapes and evolutionary strategies.

Co-citation in the scientific literature: a new measure of the relationship between two documents.

Coherence of the knowledge base and the firm's innovative performance: evidence from the U.S. pharmaceutical industry.

Concentration and evenness measures as macro-level scientometric indicators. (In Chinese)

Core Team

Disciplinary, Multidisciplinary, Interdisciplinary: Concepts and Indicators. In

Facilitating Interdisciplinary Research,

Facing diversity of science: a challenge for bibliometric indicators.

Getting the measure of biodiversity.

How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors.

Interdiscipinary research: meaning, metrics and nurture.

Interdisciplinarity as a multidimensional concept: its measure in three different research areas.

Interdisciplinarity in science: A tentative typology of disciplines and research areas.

Interdisciplinary dynamics of modern science: Analysis of cross-disciplinary citation flows.

Mapping change in scientific specialties: a scientometric reconstruction of the development of Artificial intelligence.

Mapping of science by combined cocitation and word analysis. I. Structural aspects.

Mapping the backbone of science.

Measuring diversity of research in bibliographic-coupling networks.

Measuring researcher interdisciplinarity.

Multidisciplinarity, Interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology.

Nanotechnology as a Field of Science: Its Delineation in Terms of Journals and Patents.

On the economics and analysis of diversity.

Pajek. Program for Large Network Analysis.

personal communication.

Practising interdisciplinarity.

Requirement for a Cocitation Similarity Measure, with Special Reference to Pearson's Correlation Coefficient.

Science maps within a science policy context.

Self-citation, coauthorships and keywords: A new approach to scientists' field mobility?

Social network analysis: a powerful strategy, also for the information sciences.

Strategies for knowledge acquisition in bionanotechnology: why are interdisciplinary practices less widespread than expected? Innovation;

Team diversity and research collaboration in life sciences teams: Does a combination of research cultures pay off?

Visualizing the marrow of science.

Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience

http://www.sussex.ac.uk/spru/documents/sewp167.pdf

Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience

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Research Papers in Economics