Philippe J. Giabbanelli

2.9k total citations
120 papers, 1.4k citations indexed

About

Philippe J. Giabbanelli is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Philippe J. Giabbanelli has authored 120 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 23 papers in Management Science and Operations Research and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Philippe J. Giabbanelli's work include Cognitive Science and Mapping (32 papers), Complex Systems and Decision Making (13 papers) and Complex Network Analysis Techniques (9 papers). Philippe J. Giabbanelli is often cited by papers focused on Cognitive Science and Mapping (32 papers), Complex Systems and Decision Making (13 papers) and Complex Network Analysis Techniques (9 papers). Philippe J. Giabbanelli collaborates with scholars based in United States, Canada and Netherlands. Philippe J. Giabbanelli's co-authors include Rik Crutzen, Vijay Mago, Andrew A. Tawfik, Steven A. Gray, Payam Aminpour, Thomas Torsney-Weir, Antonie Jetter, Suhono Harso Supangkat, Arry Akhmad Arman and Onyebuchi A. Arah and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Public Health.

In The Last Decade

Philippe J. Giabbanelli

109 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe J. Giabbanelli United States 20 501 282 136 115 114 120 1.4k
Mike K. P. So Hong Kong 26 192 0.4× 172 0.6× 132 1.0× 107 0.9× 347 3.0× 141 2.6k
Marco Spruit Netherlands 23 539 1.1× 192 0.7× 48 0.4× 80 0.7× 23 0.2× 161 1.9k
Tianyong Hao China 22 743 1.5× 66 0.2× 61 0.4× 68 0.6× 120 1.1× 124 1.7k
Hilary I. Okagbue Nigeria 18 158 0.3× 87 0.3× 167 1.2× 45 0.4× 79 0.7× 194 1.4k
Hazhir Rahmandad United States 27 122 0.2× 768 2.7× 249 1.8× 215 1.9× 25 0.2× 68 2.5k
Jim Duggan Ireland 26 355 0.7× 200 0.7× 77 0.6× 154 1.3× 30 0.3× 91 1.9k
C. Mitchell Dayton United States 22 388 0.8× 389 1.4× 83 0.6× 86 0.7× 237 2.1× 66 2.2k
Ulf Olsson Norway 18 107 0.2× 198 0.7× 45 0.3× 80 0.7× 112 1.0× 58 1.6k
Ross Arnold United States 10 103 0.2× 246 0.9× 37 0.3× 46 0.4× 140 1.2× 24 1.1k
Vivek K. Singh United States 22 708 1.4× 48 0.2× 109 0.8× 51 0.4× 111 1.0× 119 1.9k

Countries citing papers authored by Philippe J. Giabbanelli

Since Specialization
Citations

This map shows the geographic impact of Philippe J. Giabbanelli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philippe J. Giabbanelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe J. Giabbanelli more than expected).

Fields of papers citing papers by Philippe J. Giabbanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe J. Giabbanelli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philippe J. Giabbanelli. The network helps show where Philippe J. Giabbanelli may publish in the future.

Co-authorship network of co-authors of Philippe J. Giabbanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe J. Giabbanelli. A scholar is included among the top collaborators of Philippe J. Giabbanelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe J. Giabbanelli. Philippe J. Giabbanelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Giabbanelli, Philippe J., et al.. (2024). A Visual Analytics Environment for Navigating Large Conceptual Models by Leveraging Generative Artificial Intelligence. Mathematics. 12(13). 1946–1946. 3 indexed citations
3.
Rudie, Jeffrey D., et al.. (2023). Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
4.
Giabbanelli, Philippe J., et al.. (2023). Extensions of Fuzzy Cognitive Maps: A Systematic Review. ACM Computing Surveys. 56(2). 1–36. 12 indexed citations
5.
Giabbanelli, Philippe J., et al.. (2023). Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study. Information. 14(3). 196–196. 7 indexed citations
6.
Giabbanelli, Philippe J., et al.. (2022). Designing the next generation of map assessment systems: Open questions and opportunities to automatically assess a student’s knowledge as a map. Journal of Research on Technology in Education. 55(1). 79–93. 3 indexed citations
7.
Giabbanelli, Philippe J.. (2022). Hybrid Models That Combine Machine Learning and Simulations. Computing in Science & Engineering. 24(5). 72–76. 3 indexed citations
8.
Mago, Vijay, et al.. (2022). (Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment. PeerJ Computer Science. 8. e947–e947. 8 indexed citations
9.
Giabbanelli, Philippe J., et al.. (2022). FCMpy: a python module for constructing and analyzing fuzzy cognitive maps. PeerJ Computer Science. 8. e1078–e1078. 12 indexed citations
10.
Giabbanelli, Philippe J. & Andrew A. Tawfik. (2021). How Perspectives of a System Change Based on Exposure to Positive or Negative Evidence. Systems. 9(2). 23–23. 8 indexed citations
11.
Giabbanelli, Philippe J., et al.. (2021). When Do We Need Massive Computations to Perform Detailed COVID‐19 Simulations?. Advanced Theory and Simulations. 5(2). 2100343–2100343. 8 indexed citations
12.
Howard, Dakota, et al.. (2021). Network analysis of intra- and interspecific freshwater fish interactions using year-around tracking. Journal of The Royal Society Interface. 18(183). 20210445–20210445. 7 indexed citations
13.
Negahban, Ashkan & Philippe J. Giabbanelli. (2021). Hybrid Agent-Based Simulation of Adoption Behavior and Social Interactions: Alternatives, Opportunities, and Pitfalls. IEEE Transactions on Computational Social Systems. 9(3). 770–780. 6 indexed citations
14.
Supangkat, Suhono Harso, et al.. (2019). Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems. IEEE Access. 7. 46136–46151. 63 indexed citations
15.
Zhang, Donglan, et al.. (2019). Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study. Health Equity. 3(1). 382–389. 4 indexed citations
16.
Giabbanelli, Philippe J., et al.. (2019). Visual Analytics to Identify Temporal Patterns and Variability in Simulations from Cellular Automata. ACM Transactions on Modeling and Computer Simulation. 29(1). 1–26. 5 indexed citations
17.
Giabbanelli, Philippe J., et al.. (2018). Should we simulate mental models to assess whether they agree. Annual Simulation Symposium. 20 indexed citations
18.
Giabbanelli, Philippe J., et al.. (2018). Capturing the fast-food landscape in England using large-scale network analysis. EPJ Data Science. 7(1). 39–39. 4 indexed citations
19.
Giabbanelli, Philippe J. & Rik Crutzen. (2017). Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations. Computational and Mathematical Methods in Medicine. 2017. 1–12. 24 indexed citations
20.
Mago, Vijay & Philippe J. Giabbanelli. (2015). Special Issue on Intelligent Healthcare Systems. SHILAP Revista de lepidopterología. 25(1). 1–2. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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