Charles Fadel

1.5k total citations · 1 hit paper
4 papers, 545 citations indexed

About

Charles Fadel is a scholar working on Education, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charles Fadel has authored 4 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Education, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Charles Fadel's work include Digital Storytelling and Education (1 paper), Higher Education Teaching and Evaluation (1 paper) and Online Learning and Analytics (1 paper). Charles Fadel is often cited by papers focused on Digital Storytelling and Education (1 paper), Higher Education Teaching and Evaluation (1 paper) and Online Learning and Analytics (1 paper). Charles Fadel collaborates with scholars based in . Charles Fadel's co-authors include Maya Bialik and W. Holmes and has published in prestigious journals such as Open Research Online (The Open University) and Medical Entomology and Zoology.

In The Last Decade

Charles Fadel

4 papers receiving 460 citations

Hit Papers

Artificial Intelligence In Education: Promises and Implic... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Charles Fadel
Comparison fields: 5 of 81
  • Computer Science Applications 246
  • Artificial Intelligence 158
  • Education 131
  • Information Systems 115
  • Developmental and Educational Psychology 85
Replace Maya Bialik with:
Maya Bialik
Jianjun Qin China
Marzuki Marzuki Indonesia
Yuchun Zhong Hong Kong
Yvonne Hong New Zealand
Linxuan Zhao Australia
Belle Dang Finland
Xinyu Li Australia
Alex Barrett United States
Sdenka Zobeida Salas‐Pilco China
Maya Bialik View profile →
Citations per field, relative to Charles Fadel
Charles Fadel · 1×
Citations per year, relative to Charles Fadel
Charles Fadel · 1×

Countries citing papers authored by Charles Fadel

Since Specialization
Citations

This map shows the geographic impact of Charles Fadel'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 Charles Fadel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Fadel more than expected).

Fields of papers citing papers by Charles Fadel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Fadel. 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 Charles Fadel. The network helps show where Charles Fadel may publish in the future.

Co-authorship network of co-authors of Charles Fadel

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Fadel. A scholar is included among the top collaborators of Charles Fadel 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 Charles Fadel. Charles Fadel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1
Artificial Intelligence In Education: Promises and Implications for Teaching and Learning breakdown →
453
2
Educación en cuatro dimensiones: las competencias que los estudiantes necesitan para su realización
1
3
Four-dimensional education
20
4
Multimodal Learning Through Media: What the Research Says
71

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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Rankless by CCL
2026