Farnoosh Naderkhani
- Health Informatics top 5%
- Medical Laboratory Technology top 10%
- Quality and Safety in Healthcare 4
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- Reliability and Maintenance Optimization 15
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- Advanced Statistical Process Monitoring 8
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- COVID-19 diagnosis using AI 9
- Radiomics and Machine Learning in Medical Imaging 8
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- Software Reliability and Analysis Research 6
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- Machine Fault Diagnosis Techniques 6
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Arash MohammadiNastaran EnshaeiViliam MakišAnastasia OikonomouParnian AfsharKonstantinos N. PlataniotisShahin HeidarianMoezedin Javad Rafiee
- Partner nations
- CanadaIranUnited States
In The Last Decade
Farnoosh Naderkhani
42 papers receiving 554 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 33
- Medical Laboratory Technology 17
- Safety, Risk, Reliability and Quality 97
- Statistics, Probability and Uncertainty 71
- Radiology, Nuclear Medicine and Imaging 202
Countries citing papers authored by Farnoosh Naderkhani
This map shows the geographic impact of Farnoosh Naderkhani'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 Farnoosh Naderkhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farnoosh Naderkhani more than expected).
Fields of papers citing papers by Farnoosh Naderkhani
This network shows the impact of papers produced by Farnoosh Naderkhani. 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 Farnoosh Naderkhani. The network helps show where Farnoosh Naderkhani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Farnoosh Naderkhani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 36 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 134 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 39 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 1 |
About Farnoosh Naderkhani
Farnoosh Naderkhani is a scholar working on Medical Laboratory Technology, Safety, Risk, Reliability and Quality and Software, having authored 45 papers that have together received 573 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (15 papers), COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Statistical Process Monitoring (8 papers), Software Reliability and Analysis Research (6 papers), Machine Fault Diagnosis Techniques (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Quality and Safety in Healthcare (4 papers). The work is most often cited by research in Health Informatics (33 citations), Medical Laboratory Technology (17 citations) and Safety, Risk, Reliability and Quality (97 citations). Farnoosh Naderkhani has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Arash Mohammadi, Nastaran Enshaei, Viliam Makiš, Anastasia Oikonomou, Parnian Afshar, Konstantinos N. Plataniotis, Shahin Heidarian, Moezedin Javad Rafiee, Elahe Rahimian and Svetlana Yanushkevich. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.