Sarinder Kaur Dhillon
- Artificial Intelligence top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 2%
- Plant Science
- Co-authors
- Nur Aishah Mohd TaibMogana Darshini GanggayahPíetro LióYip Cheng HarChristopher TownVing Ching ChongSorayya MalekM. Sugumaran
- Topics
- AI in cancer detection (6 papers)Identification and Quantification in Food (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsJournal of Fish Biology
- Partner nations
- MalaysiaUnited KingdomAustralia
In The Last Decade
Sarinder Kaur Dhillon
29 papers receiving 517 citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 202
- Molecular Biology 130
- Radiology, Nuclear Medicine and Imaging 125
- Health Information Management 81
- Plant Science 66
Countries citing papers authored by Sarinder Kaur Dhillon
This map shows the geographic impact of Sarinder Kaur Dhillon'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 Sarinder Kaur Dhillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarinder Kaur Dhillon more than expected).
Fields of papers citing papers by Sarinder Kaur Dhillon
This network shows the impact of papers produced by Sarinder Kaur Dhillon. 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 Sarinder Kaur Dhillon. The network helps show where Sarinder Kaur Dhillon may publish in the future.
Co-authorship network of co-authors of Sarinder Kaur Dhillon
This figure shows the co-authorship network connecting the top 25 collaborators of Sarinder Kaur Dhillon. A scholar is included among the top collaborators of Sarinder Kaur Dhillon 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 Sarinder Kaur Dhillon. Sarinder Kaur Dhillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 34 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 66 | |
| 10 | 184 | |
| 11 | 9 | |
| 12 | The Use of Otolith Morphometrics in Determining the Size and Species Identification of Eight Mullets (Mugiliformes: Mugilidae) from Malaysia | 9 |
| 13 | 17 | |
| 14 | 19 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 2 |
About Sarinder Kaur Dhillon
Sarinder Kaur Dhillon is a scholar working on Health Information Management, Health Informatics and Ecological Modeling, having authored 30 papers that have together received 539 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Identification and Quantification in Food (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Information Management (81 citations), Health Informatics (19 citations) and Artificial Intelligence (202 citations). Sarinder Kaur Dhillon has collaborated with scholars based in Malaysia, United Kingdom and Australia. Frequent co-authors include Nur Aishah Mohd Taib, Mogana Darshini Ganggayah, Píetro Lió, Yip Cheng Har, Christopher Town, Ving Ching Chong, Sorayya Malek, M. Sugumaran, Mogeeb A. A. Mosleh and Amandeep S. Sidhu. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of Fish Biology.
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.