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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:

Navigating Complex Systems for Policymaking Using Simple Software Tools
Philippe J. Giabbanelli, Magda Baniukiewicz
Smart innovation, systems and technologies (2018), pp. 21-40
Closed Access | Times Cited: 23

Showing 23 citing articles:

Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems
Hendra Sandhi Firmansyah, Suhono Harso Supangkat, Arry Akhmad Arman, et al.
IEEE Access (2019) Vol. 7, pp. 46136-46151
Open Access | Times Cited: 78
Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping
Philippe J. Giabbanelli, Ketra Rice, Michael C. Galgoczy, et al.
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Extensions of Fuzzy Cognitive Maps: A Systematic Review
Ryan Schuerkamp, Philippe J. Giabbanelli
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-36
Closed Access | Times Cited: 11
From associations to sarcasm: Mining the shift of opinions regarding the Supreme Court on twitter
Mannila Sandhu, C. Danielle Vinson, Vijay Mago, et al.
Online Social Networks and Media (2019) Vol. 14, pp. 100054-100054
Closed Access | Times Cited: 26
The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies
Thrishma Reddy, Philippe J. Giabbanelli, Vijay Mago
Lecture notes in computer science (2019), pp. 111-129
Closed Access | Times Cited: 21
From Social Media to Expert Reports: The Impact of Source Selection on Automatically Validating Complex Conceptual Models of Obesity
Mannila Sandhu, Philippe J. Giabbanelli, Vijay Mago
Lecture notes in computer science (2019), pp. 434-452
Closed Access | Times Cited: 21
Learning Analytics to Support Teachers’ Assessment of Problem Solving: A Novel Application for Machine Learning and Graph Algorithms
Philippe J. Giabbanelli, Andrew A. Tawfik, Vishrant K. Gupta
Springer eBooks (2019), pp. 175-199
Closed Access | Times Cited: 20
Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions
Samvel Mkhitaryan, Philippe J. Giabbanelli, Nanné K. de Vries, et al.
Intelligence-Based Medicine (2020) Vol. 3-4, pp. 100008-100008
Open Access | Times Cited: 16
Overcoming the PBL Assessment Challenge: Design and Development of the Incremental Thesaurus for Assessing Causal Maps (ITACM)
Philippe J. Giabbanelli, Andrew A. Tawfik
Technology Knowledge and Learning (2017) Vol. 24, Iss. 2, pp. 161-168
Closed Access | Times Cited: 17
Solving Challenges at the Interface of Simulation and Big Data Using Machine Learning
Philippe J. Giabbanelli
2018 Winter Simulation Conference (WSC) (2019), pp. 572-583
Closed Access | Times Cited: 15
Ideal, Best, and Emerging Practices in Creating Artificial Societies
Philippe J. Giabbanelli, Alexey Voinov, Brian Castellani, et al.
(2019), pp. 1-12
Open Access | Times Cited: 11
Reducing the Gap Between the Conceptual Models of Students and Experts Using Graph-Based Adaptive Instructional Systems
Philippe J. Giabbanelli, Andrew A. Tawfik
Lecture notes in computer science (2020), pp. 538-556
Closed Access | Times Cited: 11
How Perspectives of a System Change Based on Exposure to Positive or Negative Evidence
Philippe J. Giabbanelli, Andrew A. Tawfik
Systems (2021) Vol. 9, Iss. 2, pp. 23-23
Open Access | Times Cited: 9
A Web Based Modular Environment for Assisting Health Policy Making Utilizing Big Data Analytics
Κωνσταντίνος Μούτσελος, Dimosthenis Kyriazis, Ilias Maglogiannis
(2018)
Closed Access | Times Cited: 9
Automatically Explaining a Model: Using Deep Neural Networks to Generate Text From Causal Maps
Anish Prasad Shrestha, Kyle Mielke, Tuong Anh Nguyen, et al.
2018 Winter Simulation Conference (WSC) (2022), pp. 2629-2640
Closed Access | Times Cited: 5
Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide
Benjamin D. Maldonado, Ryan Schuerkamp, Cassidy M. Martin, et al.
Network Science (2024) Vol. 12, Iss. 3, pp. 234-260
Open Access
Combining Natural Language Generation and Graph Algorithms to Explain Causal Maps Through Meaningful Paragraphs
Tyler J. Gandee, Philippe J. Giabbanelli
Lecture notes in computer science (2024), pp. 359-376
Closed Access
A cybernetic participatory approach for policy system of systems mapping: Case study of inclusive economies
Mohammad Hassannezhad, Mary Gogarty, Clementine Hill O’Connor, et al.
Futures (2023) Vol. 152, pp. 103200-103200
Open Access | Times Cited: 1
Testing the Causal Map Builder on Amazon Alexa
Thrishma Reddy, Gautam Srivastava, Vijay Mago
Advances in intelligent systems and computing (2020), pp. 449-461
Closed Access | Times Cited: 2
Determining Sufficient Volume of Data for Analysis with Statistical Framework
Tanvi Barot, Gautam Srivastava, Vijay Mago
Lecture notes in computer science (2020), pp. 770-781
Closed Access | Times Cited: 2
A Cybernetic Participatory Approach for Whole-Systems Modelling and Analysis, with Application to Inclusive Economies
Mohammad Hassannezhad, Mary Gogarty, Clementine Hill O’Connor, et al.
(2021)
Open Access | Times Cited: 1
Ideal, Best, and Emerging Practices in Creating Artificial Societies
Philippe J. Giabbanelli, Alexey Voinov, Brian Castellani, et al.
(2019)
Open Access
A Cybernetic Participatory Approach for Whole-Systems Modelling and Analysis, with Application to Inclusive Economies
Mohammad Hassannezhad, Mary Gogarty, Clementine Hill O’Connor, et al.
(2021)
Open Access
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