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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Functional Classification of Joints
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Related Experiment Video

Updated: Mar 6, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Generating clustered journal maps: an automated system for hierarchical classification.

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  • 1Amsterdam School of Communication Research (ASCoR), University of Amsterdam, PO Box 15793, 1001 NG Amsterdam, The Netherlands.

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Summary

Journal mapping and classification data for over 11,000 journals are available, with a routine to visualize research communities. This tool aids in understanding scientific fields and subfields, revealing their sensitivity to yearly changes.

Keywords:
CitationClassificationDecompositionJournalScientific fieldVisualization

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Area of Science:

  • Bibliometrics
  • Informetrics
  • Scientometrics

Background:

  • Journal Citation Reports (JCR) provide journal metrics and classifications.
  • Previous journal mapping studies have offered insights into scientific fields.
  • Understanding the structure of scientific communication is crucial for research assessment.

Purpose of the Study:

  • To provide updated journal maps and classifications for 2015.
  • To introduce a VOSviewer-based routine for journal mapping and hierarchical clustering.
  • To enable visualization of journal communities and field delineations.

Main Methods:

  • Utilized Journal Citation Reports 2015 data for Science and Social Sciences Citation Indexes.
  • Developed a VOSviewer routine for integrating journal mapping and clustering.
  • Compared 2015 journal maps with 2014 data to assess field stability.

Main Results:

  • Generated comprehensive journal maps and classifications for 11,359 journals.
  • The routine successfully visualizes journal clusters and hierarchical structures.
  • Field and subfield delineations show sensitivity to annual fluctuations.

Conclusions:

  • The provided routine offers a tool for exploring scientific landscapes and understanding research communities.
  • Journal maps are dynamic and sensitive to yearly variations.
  • The routine can be used to test assumptions and visualize networks without claiming authority.