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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Arbabi, H., Salehi-Taleshi, M.-J., & Ghods, K. (2020). The role of project management office in developing knowledge management infrastructure. Engineering, Construction and Architectural Management, 27(10), 3261-3287. External link
Ghods, K., Azizi, A., Jafari, A., & Ghods, K. (2023). Application of Artificial Intelligence in Clinical Dentistry, a Comprehensive Review of Literature. Journal of Dentistry, 24(4), 356-371. External link
Mahmoodi, S., Najafi, A. A., & Ghods, K. (2024). A Multi-Objective Water Cycle Algorithm for the BI-Objective Multi-Mode Project Resource Renting Problem. Economic Computation and Economic Cybernetics Studies and Research, 58(1), 16 pages. External link
Yousefi, S., Saen, R. F., Shabanpour, H., & Ghods, K. (2024). An innovative patient clustering method using data envelopment Analysis-Discriminant analysis and artificial neural networks: A case study in healthcare systems. Socio-Economic Planning Sciences, 95, 102054 (11 pages). External link
Yousefi, S., Shabanpour, H., Ghods, K., & Saen, R. F. (2023). How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis. Computers & Industrial Engineering, 176, 108933 (11 pages). External link