Nicolas Jaccard
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Ophthalmology top 5%
- Co-authors
- Lewis D. GriffinNicolas SzitaThomas W. RogersFarlan VeraitchEdward J. MortonFrank BaganzKaren M. PolizziDavid L. Hacker
- Topics
- Retinal Imaging and Analysis (7 papers)Retinal Diseases and Treatments (5 papers)Advanced X-ray and CT Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECurrent Opinion in Biotechnology
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Nicolas Jaccard
23 papers receiving 558 citations
Peers
Comparison fields: 5 of 103
- Biomedical Engineering 250
- Radiology, Nuclear Medicine and Imaging 176
- Molecular Biology 161
- Computer Vision and Pattern Recognition 107
- Ophthalmology 90
Countries citing papers authored by Nicolas Jaccard
This map shows the geographic impact of Nicolas Jaccard'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 Nicolas Jaccard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Jaccard more than expected).
Fields of papers citing papers by Nicolas Jaccard
This network shows the impact of papers produced by Nicolas Jaccard. 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 Nicolas Jaccard. The network helps show where Nicolas Jaccard may publish in the future.
Co-authorship network of co-authors of Nicolas Jaccard
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Jaccard. A scholar is included among the top collaborators of Nicolas Jaccard 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 Nicolas Jaccard. Nicolas Jaccard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 37 | |
| 4 | 36 | |
| 5 | 23 | |
| 6 | Automated Evaluation of Optic Disc Images for Manifest Glaucoma Detection Using a Deep-Learning, Neural Network-Based Algorithm | 4 |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 37 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms. | 4 |
| 16 | 112 | |
| 17 | 22 | |
| 18 | 42 | |
| 19 | 20 | |
| 20 | 38 |
About Nicolas Jaccard
Nicolas Jaccard is a scholar working on Biophysics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 569 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Ophthalmology (90 citations), Health Informatics (12 citations) and Biophysics (48 citations). Nicolas Jaccard has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Lewis D. Griffin, Nicolas Szita, Thomas W. Rogers, Farlan Veraitch, Edward J. Morton, Frank Baganz, Karen M. Polizzi, David L. Hacker, Florian Μ. Wurm and Sameer Trikha. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Opinion in Biotechnology.
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.