Jimison Iavindrasana
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Physiology
- Co-authors
- Henning MüllerAdrien DepeursingeAlexandra PlatonGilles CohenPierre‐Alexandre PolettiDaniel RacoceanuAntoine GeissbühlerLuigi Lo Iacono
- Topics
- AI in cancer detection (5 papers)Scientific Computing and Data Management (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Jimison Iavindrasana
16 papers receiving 295 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 66
- Radiology, Nuclear Medicine and Imaging 49
- Molecular Biology 40
- Physiology 37
Countries citing papers authored by Jimison Iavindrasana
This map shows the geographic impact of Jimison Iavindrasana'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 Jimison Iavindrasana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimison Iavindrasana more than expected).
Fields of papers citing papers by Jimison Iavindrasana
This network shows the impact of papers produced by Jimison Iavindrasana. 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 Jimison Iavindrasana. The network helps show where Jimison Iavindrasana may publish in the future.
Co-authorship network of co-authors of Jimison Iavindrasana
This figure shows the co-authorship network connecting the top 25 collaborators of Jimison Iavindrasana. A scholar is included among the top collaborators of Jimison Iavindrasana 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 Jimison Iavindrasana. Jimison Iavindrasana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 37 | |
| 3 | 57 | |
| 4 | 83 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 35 | |
| 9 | 16 | |
| 10 | @neurIST - chronic disease management through integration of heterogeneous data and computer-interpretable guideline services. | 11 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 0 | |
| 14 | Design of a decentralized reusable research database architecture to support data acquisition in large research projects. | 12 |
| 15 | KnowARC: enabling Grid networks for the biomedical research community. | 6 |
| 16 | 15 | |
| 17 | Knowledge acquisition for computation of semantic distance between WHO-ART terms. | 5 |
| 18 | Clustering WHO-ART terms using semantic distance and machine learning algorithms. | 5 |
About Jimison Iavindrasana
Jimison Iavindrasana is a scholar working on Health Information Management, Health Informatics and Information Systems and Management, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Scientific Computing and Data Management (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Health Information Management (24 citations), Artificial Intelligence (108 citations) and Information Systems and Management (23 citations). Jimison Iavindrasana has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Henning Müller, Adrien Depeursinge, Alexandra Platon, Gilles Cohen, Pierre‐Alexandre Poletti, Daniel Racoceanu, Antoine Geissbühler, Luigi Lo Iacono, Paul Summers and Bernice S. Elger. Their work appears in journals such as PLoS ONE, Computer Methods and Programs in Biomedicine and Artificial Intelligence in Medicine.
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.