Mani Abedini
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- AI in cancer detection
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Evolutionary Algorithms and Applications 5
- AI in cancer detection 4
- Metaheuristic Optimization Algorithms Research 3
- Oncology 7
- Cutaneous Melanoma Detection and Management 7
- Co-authors
- Rahil GarnaviRajib ChakravortySergey DemyanovAllan C. HalpernMichael KirleyBehzad BozorgtabarZongyuan GeSisi Liang
- Journals
- International Journal of Machine Learning and Cybernetics (1 paper)Health Information Science and Systems (1 paper)Australasian Medical Journal (2 papers)Studies in health technology and informatics (1 paper)Swinburne Research Bank (Swinburne University of Technology) (1 paper)
- Partner nations
- AustraliaUnited StatesIsrael
In The Last Decade
Mani Abedini
15 papers receiving 198 citations
Peers
Comparison fields: 5 of 56
- Health Information Management 20
- Artificial Intelligence 125
- Oncology 100
- Biophysics 11
- Dermatology 16
Countries citing papers authored by Mani Abedini
This map shows the geographic impact of Mani Abedini'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 Mani Abedini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Abedini more than expected).
Fields of papers citing papers by Mani Abedini
This network shows the impact of papers produced by Mani Abedini. 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 Mani Abedini. The network helps show where Mani Abedini may publish in the future.
Co-authors
The 25 scholars most cited alongside Mani Abedini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2020 | 24 | |
| 5 | 2017 | 44 | |
| 6 | 2017 | 4 | |
| 7 | 2016 | 62 | |
| 8 | 2016 | 12 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 21 | |
| 11 | 2015 | 3 | |
| 12 | IBM Research Australia at LifeCLEF2014: Plant Identification Task. | 2014 | 9 |
| 13 | 2013 | 8 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 6 | |
| 17 | 2010 | 8 | |
| 18 | 2010 | 5 |
About Mani Abedini
Mani Abedini is a scholar working on Artificial Intelligence, Oncology, Health Information Management, Neurology and Molecular Biology, having authored 18 papers that have together received 213 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), Evolutionary Algorithms and Applications (5 papers), AI in cancer detection (4 papers), Gene expression and cancer classification (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Information Management (20 citations), Artificial Intelligence (125 citations), Oncology (100 citations), Biophysics (11 citations) and Dermatology (16 citations). Mani Abedini has collaborated with scholars based in Australia, United States and Israel. Frequent co-authors include Rahil Garnavi, Rajib Chakravorty, Sergey Demyanov, Allan C. Halpern, Michael Kirley, Behzad Bozorgtabar, Zongyuan Ge, Sisi Liang, Rajkumar Buyya and Matthias Reumann. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Health Information Science and Systems, Australasian Medical Journal, Studies in health technology and informatics and Swinburne Research Bank (Swinburne University of Technology).
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.