OpenAlex Citation Counts

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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:

Clustering-Based Online Player Modeling
Jason M. Bindewald, Gilbert L. Peterson, Michael E. Miller
Communications in computer and information science (2017), pp. 86-100
Closed Access | Times Cited: 11

Showing 11 citing articles:

A Survey on Churn Analysis in Various Business Domains
Jaehyun Ahn, Junsik Hwang, Do-Young Kim, et al.
IEEE Access (2020) Vol. 8, pp. 220816-220839
Open Access | Times Cited: 76

Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data
Eunjo Lee, Yoonjae Jang, Du-Mim Yoon, et al.
IEEE Transactions on Games (2018) Vol. 11, Iss. 3, pp. 215-226
Open Access | Times Cited: 41

Measuring Human Trust Behavior in Human-Machine Teams
Jason M. Bindewald, Christina F. Rusnock, Michael E. Miller
Advances in intelligent systems and computing (2017), pp. 47-58
Closed Access | Times Cited: 13

Predicting the effects of automation reliability rates on human-automation team performance
Anthony J. Hillesheim, Christina F. Rusnock
2018 Winter Simulation Conference (WSC) (2016), pp. 1802-1813
Closed Access | Times Cited: 6

Creating Effective Automation to Maintain Explicit User Engagement
Jason M. Bindewald, Michael E. Miller, Gilbert L. Peterson
International Journal of Human-Computer Interaction (2019) Vol. 36, Iss. 4, pp. 341-354
Closed Access | Times Cited: 4

Predicting the effects of automation reliability rates on human-automation team performance
Anthony J. Hillesheim, Christina F. Rusnock
Winter Simulation Conference (2016), pp. 1802-1813
Closed Access | Times Cited: 2

Can We Infer Player Behavior Tendencies from a Player’s Decision-Making Data? Integrating Theory of Mind to Player Modeling
Murtuza Shergadwala, Zhaoqing Teng, Magy Seif El‐Nasr
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2021) Vol. 17, Iss. 1, pp. 195-202
Open Access | Times Cited: 3

To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages
Omid Mohaddesi, Jacqueline Griffin, Özlem Ergün, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 1

Estimating operationalized intent using random forests
Michael Schneider, Nicholas Engle, Michael E. Miller, et al.
Human-Intelligent Systems Integration (2022) Vol. 4, Iss. 3-4, pp. 53-69
Closed Access | Times Cited: 1

Computer Games
Tristan Cazenave, Mark H. M. Winands, Stefan Edelkamp, et al.
Communications in computer and information science (2017)
Closed Access

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