Behzad Forghani

945 total citations
9 papers, 649 citations indexed

About

Behzad Forghani is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Behzad Forghani has authored 9 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Behzad Forghani's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (2 papers). Behzad Forghani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (2 papers). Behzad Forghani collaborates with scholars based in Canada, United States and Japan. Behzad Forghani's co-authors include Reza Forghani, Caroline Reinhold, Nikesh Muthukrishnan, Avishek Chatterjee, Peter Savadjiev, Farhad Maleki, Katie Ovens, Yoshiko Ueno, Griselda Romero-Sánchez and B. Gallix and has published in prestigious journals such as Radiology, European Radiology and Cancers.

In The Last Decade

Behzad Forghani

9 papers receiving 633 citations

Peers

Countries citing papers authored by Behzad Forghani

Since Specialization

Citations

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

Fields of papers citing papers by Behzad Forghani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behzad Forghani

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

#	Work	Indexed citations
1	Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models 2021 ·Cancers ·Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens, Shao Hui Huang, (unknown), Griselda Romero-Sánchez, Sahir Bhatnagar, Avishek Chatterjee, Marc Pusztaszeri, Alan Spatz, Gerald Batist, Seyedmehdi Payabvash, Stefan P. Haider, Amit Mahajan, Caroline Reinhold, Behzad Forghani, Brian O’Sullivan, Eugene Yu, Reza Forghani	5
2	Brief History of Artificial Intelligence 2020 ·Neuroimaging Clinics of North America ·Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens, Caroline Reinhold, Behzad Forghani, Reza Forghani	100
3	Overview of Machine Learning Part 1 2020 ·Neuroimaging Clinics of North America ·Farhad Maleki, Katie Ovens, (unknown), Behzad Forghani, Caroline Reinhold, Reza Forghani	24
4	Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning 2019 ·European Radiology ·Reza Forghani, Avishek Chatterjee, Caroline Reinhold, (unknown), Griselda Romero-Sánchez, Yoshiko Ueno, (unknown), (unknown), (unknown), Jeffrey Chankowsky, Jan Seuntjens, Behzad Forghani	89
5	Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology 2019 ·Computational and Structural Biotechnology Journal ·Reza Forghani, Peter Savadjiev, Avishek Chatterjee, Nikesh Muthukrishnan, Caroline Reinhold, Behzad Forghani	133
6	Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy 2019 ·Computational and Structural Biotechnology Journal ·(unknown), Behzad Forghani, Caroline Reinhold, (unknown), Griselda Romero-Sánchez, Nikesh Muthukrishnan, Julian L. Wichmann, (unknown), Eugene Yu, Reza Forghani	70
7	Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm 2018 ·European Radiology ·(unknown), Behzad Forghani, Caroline Reinhold, (unknown), Reza Forghani	64
8	Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography 2017 ·Neuroimaging Clinics of North America ·Reza Forghani, Ashok Srinivasan, Behzad Forghani	29
9	Endometrial Carcinoma: MR Imaging–based Texture Model for Preoperative Risk Stratification—A Preliminary Analysis 2017 ·Radiology ·Yoshiko Ueno, Behzad Forghani, Reza Forghani, Anthony Dohan, Xing Zeng, Foucauld Chamming’s, Jocelyne Arseneau, Lili Fu, Lucy Gilbert, B. Gallix, Caroline Reinhold	135

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.

Explore authors with similar magnitude of impact