Bart Thijs


Ontology type: schema:Person     


Person Info

NAME

Bart

SURNAME

Thijs

Publications in SciGraph latest 50 shown

  • 2018-08 Use of locality sensitive hashing (LSH) algorithm to match Web of Science and Scopus in SCIENTOMETRICS
  • 2018-07 The role of baseline granularity for benchmarking citation impact. The case of CSS profiles in SCIENTOMETRICS
  • 2018-04 The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics” in SCIENTOMETRICS
  • 2017-06 Use of ResearchGate and Google CSE for author name disambiguation in SCIENTOMETRICS
  • 2017-06 Lexical analysis of scientific publications for nano-level scientometrics in SCIENTOMETRICS
  • 2017-05 Topic identification challenge in SCIENTOMETRICS
  • 2017-05 Using hybrid methods and ‘core documents’ for the representation of clusters and topics: the astronomy dataset in SCIENTOMETRICS
  • 2017-05 Improved author profiling through the use of citation classes in SCIENTOMETRICS
  • 2016-12 The challenges to expand bibliometric studies from periodical literature to monographic literature with a new data source: the book citation index in SCIENTOMETRICS
  • 2016-12 Using character n-grams to match a list of publications to references in bibliographic databases in SCIENTOMETRICS
  • 2016-05 A triangular model for publication and citation statistics of individual authors in SCIENTOMETRICS
  • 2015-12 Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes in SCIENTOMETRICS
  • 2015-11 Characteristics of international collaboration in sport sciences publications and its influence on citation impact in SCIENTOMETRICS
  • 2014-11 The application of citation-based performance classes to the disciplinary and multidisciplinary assessment in national comparison and institutional research assessment in SCIENTOMETRICS
  • 2014-01 Origin and emergence of entrepreneurship as a research field in SCIENTOMETRICS
  • 2013-09 Do second-order similarities provide added-value in a hybrid approach? in SCIENTOMETRICS
  • 2012-05 Using ‘core documents’ for detecting and labelling new emerging topics in SCIENTOMETRICS
  • 2011-07 Using ‘core documents’ for the representation of clusters and topics in SCIENTOMETRICS
  • 2011-05 A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking in SCIENTOMETRICS
  • 2010-11 Cardiovascular research in Spain. A comparative scientometric study in SCIENTOMETRICS
  • 2009-12 Regional analysis on Chinese scientific output in SCIENTOMETRICS
  • 2009-06 Is China also becoming a giant in social sciences? in SCIENTOMETRICS
  • 2009-05 A structural analysis of benchmarks on different bibliometrical indicators for European research institutes based on their research profile in SCIENTOMETRICS
  • 2009-04 A comparative analysis of publication activity and citation impact based on the core literature in bioinformatics in SCIENTOMETRICS
  • 2009-01 Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance in SCIENTOMETRICS
  • 2008-12 A new generation of relational charts for comparative assessment of citation impact in ARCHIVUM IMMUNOLOGIAE ET THERAPIAE EXPERIMENTALIS
  • 2008-02 A structural analysis of publication profiles for the classification of European research institutes in SCIENTOMETRICS
  • 2006-10 Traces of Prior Art: An analysis of non-patent references found in patent documents in SCIENTOMETRICS
  • 2006-09 Proceedings literature as additional data source for bibliometric analysis in SCIENTOMETRICS
  • 2006-06 The weight of author self-citations. A fractional approach to self-citation counting in SCIENTOMETRICS
  • 2006-05 A concise review on the role of author self-citations in information science, bibliometrics and science policy in SCIENTOMETRICS
  • 2006-04 Science in Brazil. Part 1: A macro-level comparative study in SCIENTOMETRICS
  • 2006-04 Science in Brazil. Part 2: Sectoral and institutional research profiles in SCIENTOMETRICS
  • 2006-01 The influence of author self-citations on bibliometric meso-indicators. The case of european universities in SCIENTOMETRICS
  • 2005-06 Correction in SCIENTOMETRICS
  • 2004-11 Does co-authorship inflate the share of self-citations? in SCIENTOMETRICS
  • 2004-03 The influence of author self-citations on bibliometric macro indicators in SCIENTOMETRICS
  • 2003-11 Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon in SCIENTOMETRICS
  • Affiliations

  • KU Leuven (current)
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.5596.f", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }
        ], 
        "familyName": "Thijs", 
        "givenName": "Bart", 
        "id": "sg:person.011307644472.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011307644472.55"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:17", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_2050.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.011307644472.55'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.011307644472.55'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.011307644472.55'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.011307644472.55'


     




    Preview window. Press ESC to close (or click here)


    ...