Behdad Bahadorian
- Health Information Management top 0.5%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Information Systems top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Reihane BoghratiRoohallah AlizadehsaniAsma GhandehariounZahra Alizadeh SaniHoda MashayekhiJafar HabibiMohammad Javad HosseiniAllahyar Golabchi
- Topics
- Artificial Intelligence in Healthcare (5 papers)Imbalanced Data Classification Techniques (2 papers)ECG Monitoring and Analysis (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Methods and Programs in BiomedicineJournal of Medical Signals & Sensors
- Partner nations
- Iran
In The Last Decade
Behdad Bahadorian
8 papers receiving 339 citations
Peers
Comparison fields: 5 of 56
- Health Information Management 242
- Artificial Intelligence 182
- Cardiology and Cardiovascular Medicine 110
- Information Systems 62
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Behdad Bahadorian
This map shows the geographic impact of Behdad Bahadorian'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 Behdad Bahadorian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behdad Bahadorian more than expected).
Fields of papers citing papers by Behdad Bahadorian
This network shows the impact of papers produced by Behdad Bahadorian. 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 Behdad Bahadorian. The network helps show where Behdad Bahadorian may publish in the future.
Co-authorship network of co-authors of Behdad Bahadorian
This figure shows the co-authorship network connecting the top 25 collaborators of Behdad Bahadorian. A scholar is included among the top collaborators of Behdad Bahadorian 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 Behdad Bahadorian. Behdad Bahadorian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 215 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features | 42 |
| 6 | 22 | |
| 7 | 28 | |
| 8 | Diagnosis of coronary arteries stenosis using data mining. | 21 |
About Behdad Bahadorian
Behdad Bahadorian is a scholar working on Health Information Management, Medical Laboratory Technology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 361 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Imbalanced Data Classification Techniques (2 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Health Information Management (242 citations), Medical Laboratory Technology (9 citations) and Artificial Intelligence (182 citations). Behdad Bahadorian has collaborated with scholars based in Iran. Frequent co-authors include Reihane Boghrati, Roohallah Alizadehsani, Asma Ghandeharioun, Zahra Alizadeh Sani, Hoda Mashayekhi, Jafar Habibi, Mohammad Javad Hosseini, Jafar Habibi, Mohammad Javad Hosseini and Allahyar Golabchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Journal of Medical Signals & Sensors.
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.