Jules Samaran
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Molecular Biology
- Co-authors
- Wenyu ZhangChuan-Sheng FooSavitha RamasamyLaura CantiniGabriel PeyréJérémie KalfonMayu OtaniNoa García
- Topics
- Single-cell and spatial transcriptomics (3 papers)Extracellular vesicles in disease (1 paper)Multimodal Machine Learning Applications (1 paper)
In The Last Decade
Jules Samaran
5 papers receiving 155 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 124
- Signal Processing 73
- Computer Networks and Communications 67
- Control and Systems Engineering 39
- Molecular Biology 16
Countries citing papers authored by Jules Samaran
This map shows the geographic impact of Jules Samaran'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 Jules Samaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jules Samaran more than expected).
Fields of papers citing papers by Jules Samaran
This network shows the impact of papers produced by Jules Samaran. 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 Jules Samaran. The network helps show where Jules Samaran may publish in the future.
Co-authorship network of co-authors of Jules Samaran
This figure shows the co-authorship network connecting the top 25 collaborators of Jules Samaran. A scholar is included among the top collaborators of Jules Samaran 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 Jules Samaran. Jules Samaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 141 |
About Jules Samaran
Jules Samaran is a scholar working on Biophysics, Signal Processing and Artificial Intelligence, having authored 5 papers that have together received 159 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Extracellular vesicles in disease (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Signal Processing (73 citations), Artificial Intelligence (124 citations) and Computer Networks and Communications (67 citations). Jules Samaran has collaborated with scholars based in France, Burundi and Singapore. Frequent co-authors include Wenyu Zhang, Chuan-Sheng Foo, Savitha Ramasamy, Laura Cantini, Gabriel Peyré, Jérémie Kalfon, Mayu Otani, Noa García, Yuta Nakashima and Chenhui Chu. Their work appears in journals such as Nature Communications, Nature Methods and IEEE Transactions on Neural Networks and Learning Systems.
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.