Bita Shadgar
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 2%
- Artificial Intelligence top 5%
- Molecular Biology
- Topics
- Retinal Imaging and Analysis (6 papers)Gene expression and cancer classification (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBioMed Research International
- Partner nations
- IranUnited KingdomCanada
In The Last Decade
Bita Shadgar
28 papers receiving 561 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 355
- Computer Vision and Pattern Recognition 244
- Ophthalmology 217
- Artificial Intelligence 208
- Molecular Biology 95
Countries citing papers authored by Bita Shadgar
This map shows the geographic impact of Bita Shadgar'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 Bita Shadgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bita Shadgar more than expected).
Fields of papers citing papers by Bita Shadgar
This network shows the impact of papers produced by Bita Shadgar. 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 Bita Shadgar. The network helps show where Bita Shadgar may publish in the future.
Co-authorship network of co-authors of Bita Shadgar
This figure shows the co-authorship network connecting the top 25 collaborators of Bita Shadgar. A scholar is included among the top collaborators of Bita Shadgar 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 Bita Shadgar. Bita Shadgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Vessel Segmentation in Retinal Images Using Multi-scale Line Operator and K-Means Clustering | 4 |
| 3 | 50 | |
| 4 | Presenting a Hybrid Feature Selection Method Using Chi2 and DMNB Wrapper for E-Mail Spam Filtering | 1 |
| 5 | 16 | |
| 6 | Spam Filtering by Using a Compound Method of Feature Selection | 11 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | A Computer Aided Diagnosis System for Breast Cancer | 19 |
| 10 | An Automated Tracking Approach for Extraction of Retinal Vasculature in Fundus Images | 8 |
| 11 | 2 | |
| 12 | 114 | |
| 13 | 19 | |
| 14 | 185 | |
| 15 | 17 | |
| 16 | AUTOMATIC BLOOD VESSEL SEGMENTATION IN COLOR IMAGES OF RETINA | 46 |
| 17 | 1 | |
| 18 | An Application for WebDAV-based Authoring of Databases - WebDAD | 1 |
| 19 | WebDAV-based distributed authoring of databases (WebDAD) | 2 |
| 20 | WebDAD: A WebDAV implementation for authoring databases | 2 |
About Bita Shadgar
Bita Shadgar is a scholar working on Ophthalmology, Health Information Management and Computer Networks and Communications, having authored 29 papers that have together received 632 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Gene expression and cancer classification (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Ophthalmology (217 citations), Health Information Management (83 citations) and Radiology, Nuclear Medicine and Imaging (355 citations). Bita Shadgar has collaborated with scholars based in Iran, United Kingdom and Canada. Frequent co-authors include Alireza Osareh, R.H. Markham, Mario Pavone, Ian Holyer, Leonid Chindelevitch and Sattar Hashemi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BioMed Research International.
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.