Biraja Ghoshal
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Health Informatics
- Biomedical Engineering
- Topics
- Explainable Artificial Intelligence (XAI) (3 papers)COVID-19 diagnosis using AI (2 papers)Anomaly Detection Techniques and Applications (2 papers)
- Journals
- Molecular & Cellular ProteomicsComputational IntelligenceBrunel University Research Archive (BURA) (Brunel University London)
- Partner nations
- United KingdomSwedenFrance
In The Last Decade
Biraja Ghoshal
5 papers receiving 80 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 45
- Radiology, Nuclear Medicine and Imaging 33
- Computer Vision and Pattern Recognition 12
- Health Informatics 8
- Biomedical Engineering 7
Countries citing papers authored by Biraja Ghoshal
This map shows the geographic impact of Biraja Ghoshal'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 Biraja Ghoshal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biraja Ghoshal more than expected).
Fields of papers citing papers by Biraja Ghoshal
This network shows the impact of papers produced by Biraja Ghoshal. 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 Biraja Ghoshal. The network helps show where Biraja Ghoshal may publish in the future.
Co-authorship network of co-authors of Biraja Ghoshal
This figure shows the co-authorship network connecting the top 25 collaborators of Biraja Ghoshal. A scholar is included among the top collaborators of Biraja Ghoshal 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 Biraja Ghoshal. Biraja Ghoshal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 45 | |
| 4 | Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus | 3 |
| 5 | 14 |
About Biraja Ghoshal
Biraja Ghoshal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 5 papers that have together received 83 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), COVID-19 diagnosis using AI (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (33 citations) and Artificial Intelligence (45 citations). Biraja Ghoshal has collaborated with scholars based in United Kingdom, Sweden and France. Frequent co-authors include Allan Tucker, Wai Lup Wong, Bal Sanghera, Cecilia Lindskog, Charles Pineau and Feria Hikmet. Their work appears in journals such as Molecular & Cellular Proteomics, Computational Intelligence and Brunel University Research Archive (BURA) (Brunel University London).
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.