Golnoosh Ansari
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 10%
- Oncology
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Mohammad Mirza‐Aghazadeh‐AttariDavid M. YousemJamileh AbolghasemiAfshin MohammadiAli Abbasian ArdakaniU. Rajendra AcharyaAlireza MohseniSeyedeh Panid Madani
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Hepatocellular Carcinoma Treatment and Prognosis (3 papers)Radiology practices and education (3 papers)
- Journals
- Journal of Gastrointestinal SurgeryJournal of Computer Assisted TomographyJournal of Surgical Oncology
- Partner nations
- United StatesIranAustralia
In The Last Decade
Golnoosh Ansari
13 papers receiving 58 citations
Peers
Comparison fields: 5 of 33
- Radiology, Nuclear Medicine and Imaging 35
- Health Informatics 18
- Oncology 9
- Artificial Intelligence 9
- Biomedical Engineering 7
Countries citing papers authored by Golnoosh Ansari
This map shows the geographic impact of Golnoosh Ansari'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 Golnoosh Ansari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Golnoosh Ansari more than expected).
Fields of papers citing papers by Golnoosh Ansari
This network shows the impact of papers produced by Golnoosh Ansari. 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 Golnoosh Ansari. The network helps show where Golnoosh Ansari may publish in the future.
Co-authorship network of co-authors of Golnoosh Ansari
This figure shows the co-authorship network connecting the top 25 collaborators of Golnoosh Ansari. A scholar is included among the top collaborators of Golnoosh Ansari 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 Golnoosh Ansari. Golnoosh Ansari 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 3 |
About Golnoosh Ansari
Golnoosh Ansari is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 13 papers that have together received 59 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Health Informatics (18 citations), Family Practice (7 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Golnoosh Ansari has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Mohammad Mirza‐Aghazadeh‐Attari, David M. Yousem, Jamileh Abolghasemi, Afshin Mohammadi, Ali Abbasian Ardakani, U. Rajendra Acharya, Alireza Mohseni, Seyedeh Panid Madani, Ihab R. Kamel and Bahar Ataeinia. Their work appears in journals such as Journal of Gastrointestinal Surgery, Journal of Computer Assisted Tomography and Journal of Surgical Oncology.
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.