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Thomas Klebel

Biographic Data

ID8970388
NAMEThomas Klebel
GIVEN NAMESThomas
FAMILY NAMEKlebel
SIGNATUREKLEBEL T
AFFILIATIONSKnow Center Research GmbH (Austria)
ORCID0000-0002-7331-4751
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Introduction to structural causal models in science studies

    Open Access•Thomas Klebel, Vincent Traag•ARTICLE•Quantitative Science Studies•2026

    Sound causal inference is crucial for advancing the study of science. Incorrectly interpreting predictive effects as causal might lead to ineffective or even detrimental policy recommendations. Many publications in science studies lack appropriate methods to substantiate causal claims. We here provide an introduction to structural causal models for science studies. Structural causal models, usually represented in a graphical form, allow researche…

  • The APC-barrier and its effect on stratification in open access publishing

    Open Access•Thomas Klebel, Tony Ross-Hellauer•ARTICLE•Quantitative Science Studies•2023

    Current implementations of Open Access (OA) publishing frequently involve article processing charges (APCs). Increasing evidence has emerged that APCs impede researchers with fewer resources in publishing their research as OA. We analyzed 1.5 million scientific articles from journals listed in the Directory of Open Access Journals to assess average APCs and their determinants for a comprehensive set of journal publications across scientific disci…

  • Indicators of research quality, quantity, openness, and responsibility in institutional review, promotion, and tenure policies across seven countries

    Open Access•Nancy Pontika, Thomas Klebel et al.•ARTICLE•Quantitative Science Studies•2022

    The need to reform research assessment processes related to career advancement at research institutions has become increasingly recognized in recent years, especially to better foster open and responsible research practices. Current assessment criteria are believed to focus too heavily on inappropriate criteria related to productivity and quantity as opposed to quality, collaborative open research practices, and the socioeconomic impact of resear…

  • Einkommensungleichheit, Lebensstandard und Soziale Position im Zeitvergleich

    Open Access•M Hadler, Thomas Klebel•CHAPTER•Sozialstruktur und Wertewandel in…•2019

No prominent works on this page.

  • Einkommensungleichheit, Lebensstandard und Soziale Position im Zeitvergleich

    Open Access•M Hadler, Thomas Klebel•CHAPTER•Sozialstruktur und Wertewandel in…•2019

  • Indicators of research quality, quantity, openness, and responsibility in institutional review, promotion, and tenure policies across seven countries

    Open Access•Nancy Pontika, Thomas Klebel et al.•ARTICLE•Quantitative Science Studies•2022

    The need to reform research assessment processes related to career advancement at research institutions has become increasingly recognized in recent years, especially to better foster open and responsible research practices. Current assessment criteria are believed to focus too heavily on inappropriate criteria related to productivity and quantity as opposed to quality, collaborative open research practices, and the socioeconomic impact of resear…

  • The APC-barrier and its effect on stratification in open access publishing

    Open Access•Thomas Klebel, Tony Ross-Hellauer•ARTICLE•Quantitative Science Studies•2023

    Current implementations of Open Access (OA) publishing frequently involve article processing charges (APCs). Increasing evidence has emerged that APCs impede researchers with fewer resources in publishing their research as OA. We analyzed 1.5 million scientific articles from journals listed in the Directory of Open Access Journals to assess average APCs and their determinants for a comprehensive set of journal publications across scientific disci…

  • Introduction to structural causal models in science studies

    Open Access•Thomas Klebel, Vincent Traag•ARTICLE•Quantitative Science Studies•2026

    Sound causal inference is crucial for advancing the study of science. Incorrectly interpreting predictive effects as causal might lead to ineffective or even detrimental policy recommendations. Many publications in science studies lack appropriate methods to substantiate causal claims. We here provide an introduction to structural causal models for science studies. Structural causal models, usually represented in a graphical form, allow researche…

Political science (3 works) · Business (2 works) · Public relations (2 works) · scientometrics and bibliometrics research (2 works) · Academic Publishing and Open Access (1 works) · Advanced Causal Inference Techniques (1 works) · Best practice (1 works) · Biology (1 works) · Causal inference (1 works) · Causal model (1 works)

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