Farnoosh Naderkhani
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 5%
- Control and Systems Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Arash MohammadiNastaran EnshaeiViliam MakišAnastasia OikonomouParnian AfsharKonstantinos N. PlataniotisShahin HeidarianMoezedin Javad Rafiee
- Topics
- Reliability and Maintenance Optimization (15 papers)COVID-19 diagnosis using AI (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Farnoosh Naderkhani
42 papers receiving 554 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 202
- Artificial Intelligence 124
- Safety, Risk, Reliability and Quality 97
- Control and Systems Engineering 86
- Statistics, Probability and Uncertainty 71
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 of co-authors of Farnoosh Naderkhani
This figure shows the co-authorship network connecting the top 25 collaborators of Farnoosh Naderkhani. A scholar is included among the top collaborators of Farnoosh Naderkhani 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 Farnoosh Naderkhani. Farnoosh Naderkhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 134 | |
| 16 | 18 | |
| 17 | 39 | |
| 18 | 18 | |
| 19 | 28 | |
| 20 | 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) and Radiomics and Machine Learning in Medical Imaging (8 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.