Azadeh Bashiri

35 papers receiving 488 citations

Peers

Azadeh Bashiri
Comparison fields: 5 of 109
  • Health Informatics 20
  • Medical Laboratory Technology 16
  • Health Information Management 45
  • General Dentistry 11
  • Human-Computer Interaction 31
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Tayebeh Baniasadi Iran
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Panagiotis E. Antoniou Greece
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Siniša Popović Croatia
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Citations per year

Countries citing papers authored by Azadeh Bashiri

Since Specialization
Citations

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

Fields of papers citing papers by Azadeh Bashiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Azadeh Bashiri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Azadeh Bashiri Line = papers co-authored together Azadeh Bashiri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201861
3 202049
4
Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review.
201741
5 201934
6 202034
7 201721
8 201820
9 202118
10 201514
11 202013
12 202312
13 201812
14
Designing a Minimum Data Set for Major Thalassemia Patients: Towards Electronic Personal Health Record
20188
15
The Effectiveness of mHealth Apps in the Rehabilitation of Children with Attention-deficit Hyperactivity Disorder.
20188
16
Clinical decision support system, a potential solution for diagnostic accuracy improvement in oral squamous cell carcinoma: A systematic review
20177
17 20217
18 20157
19 20236
20 20226

About Azadeh Bashiri

Azadeh Bashiri is a scholar working on Health Information Management, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pharmacology, having authored 38 papers that have together received 512 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Attention Deficit Hyperactivity Disorder (5 papers), Telemedicine and Telehealth Implementation (3 papers), Musculoskeletal pain and rehabilitation (3 papers), melanin and skin pigmentation (3 papers), Dental Research and COVID-19 (3 papers), Ergonomics and Musculoskeletal Disorders (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (20 citations), Medical Laboratory Technology (16 citations), Health Information Management (45 citations), General Dentistry (11 citations) and Human-Computer Interaction (31 citations). Azadeh Bashiri has collaborated with scholars based in Iran, Belgium and United States. Frequent co-authors include Marjan Ghazisaeedi, Leila Shahmoradi, Reza Safdari, Behrooz Jannat, Esmaeil Mehraeen, Ali Behmanesh, Roxana Sharifian, Roshanak Shams, Amir Sadeghi and Mohammad Reza Zali. Their work appears in journals such as BMC Medical Informatics and Decision Making, PeerJ, Journal of Bodywork and Movement Therapies, Korean Journal of Pediatrics and BMC Oral Health.

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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