OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Pragmatist’s Guide to Using Prediction in the Social Sciences
Mark D. Verhagen
Socius Sociological Research for a Dynamic World (2022) Vol. 8
Open Access | Times Cited: 22

Showing 22 citing articles:

Statistical Modeling: The Three Cultures
Adel Daoud, Devdatt Dubhashi
Harvard data science review (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 12

The origins of unpredictability in life outcome prediction tasks
Ian Lundberg, Rachel Brown‐Weinstock, Susan Clampet‐Lundquist, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 24
Open Access | Times Cited: 4

Incorporating Machine Learning into Sociological Model-Building
Mark D. Verhagen
Sociological Methodology (2024) Vol. 54, Iss. 2, pp. 217-268
Open Access | Times Cited: 2

Good Theories Predict: Unveiling the Untapped Potential of “Necessity” Theorizing
Wangoo Lee, Lu Lu
Journal of Hospitality & Tourism Research (2023)
Closed Access | Times Cited: 4

Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)
Елизавета Сивак, Paulina Pankowska, Adriënne M. Mendrik, et al.
Journal of Computational Social Science (2024) Vol. 7, Iss. 2, pp. 1403-1431
Open Access | Times Cited: 1

The Social Science Research Process: A New Model
Werner de Klerk, Megan Barnard, Elinda de Klerk, et al.
Open Journal of Social Sciences (2023) Vol. 11, Iss. 11, pp. 156-173
Open Access | Times Cited: 3

Shaping an Image of Science in the 21st Century: The Perspective of Metamodernism
Anita Pipere, Kristīne Mārtinsone
Societies (2023) Vol. 13, Iss. 12, pp. 254-254
Open Access | Times Cited: 3

A data-driven approach shows that individuals' characteristics are more important than their networks in predicting fertility preferences
Gert Stulp, Lars Top, Xiao Xu, et al.
Royal Society Open Science (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 3

Utilizing Social Clustering-Based Regression Model for Predicting Student’s GPA
Yomna M.I. Hassan, Abeer ElKorany, Khaled Wassif
IEEE Access (2022) Vol. 10, pp. 48948-48963
Closed Access | Times Cited: 5

Accelerating progress in the social sciences: the potential of benchmarks
Paulina Pankowska, Adriënne M. Mendrik, Tom Emery, et al.
(2023)
Open Access | Times Cited: 1

The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items
Benjamin W. Domingue, Klint Kanopka, Radhika Kapoor, et al.
Psychometrika (2024)
Closed Access

Corporate governance and innovation: a predictive modeling approach using machine learning
Leonardo Henrique Lima de Pilla, Elaine Barbosa Couto Silveira, Fábio Caldieraro, et al.
R and D Management (2024)
Closed Access

Insider Threat Prediction Techniques: A Systematic Review Paper
Nur Fahimah Mohd Nassir, Ummul Fahri Abdul Rauf, Zuraini Zainol, et al.
SpringerBriefs in applied sciences and technology (2024), pp. 119-126
Closed Access

The (Un)Predictability of Early (Un)Employment: A Machine Learning Approach
Sanni Kuikka
Socius Sociological Research for a Dynamic World (2024) Vol. 10
Open Access

The potential of benchmark challenges in the social sciences
Paulina Pankowska, Adriënne M. Mendrik, Tom Emery, et al.
Social Science Information (2024) Vol. 63, Iss. 4, pp. 498-519
Closed Access

A framework for planning sample sizes regarding prediction intervals of the normal mean using R shiny apps
Wei‐Ming Luh, Jiin‐Huarng Guo
Methodology (2024) Vol. 20, Iss. 4, pp. 283-303
Open Access

Competing narratives in AI ethics: a defense of sociotechnical pragmatism
David Watson, Jakob Mökander, Luciano Floridi
AI & Society (2024)
Open Access

SMFSOP: A semantic-based modelling framework for student outcome prediction
Yomna M.I. Hassan, Abeer ElKorany, Khaled Wassif
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101728-101728
Open Access

Page 1

Scroll to top