Bastien Rance
- Molecular Biology
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine
- Cancer Research
- Health Information Management top 1%
- Co-authors
- Anita BurgunAntoine NeurazNicolas GarcelonPierre Laurent‐PuigChristel DanielPaul AvillachRémi SalomonPatrice Degoulet
- Topics
- Biomedical Text Mining and Ontologies (23 papers)Topic Modeling (13 papers)Natural Language Processing Techniques (12 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Bastien Rance
59 papers receiving 879 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 316
- Artificial Intelligence 214
- Pulmonary and Respiratory Medicine 160
- Cancer Research 149
- Health Information Management 134
Countries citing papers authored by Bastien Rance
This map shows the geographic impact of Bastien Rance'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 Bastien Rance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bastien Rance more than expected).
Fields of papers citing papers by Bastien Rance
This network shows the impact of papers produced by Bastien Rance. 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 Bastien Rance. The network helps show where Bastien Rance may publish in the future.
Co-authorship network of co-authors of Bastien Rance
This figure shows the co-authorship network connecting the top 25 collaborators of Bastien Rance. A scholar is included among the top collaborators of Bastien Rance 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 Bastien Rance. Bastien Rance 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 | 3 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 52 | |
| 8 | 1 | |
| 9 | 73 | |
| 10 | 3 | |
| 11 | 59 | |
| 12 | Designing scientific SPARQL queries using autocompletion by snippets | 1 |
| 13 | 9 | |
| 14 | 92 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | Reviewing 741 patients records in two hours with FASTVISU. | 11 |
| 18 | Data Integration in the Life Sciences: 8th International Conference, DILS 2012, College Park, MD, USA, June 28-29, 2012 | 1 |
| 19 | A Knowledge-Based Approach to Medical Records Retrieval. | 25 |
| 20 | 0 |
About Bastien Rance
Bastien Rance is a scholar working on Artificial Intelligence, Cancer Research and Toxicology, having authored 64 papers that have together received 903 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (23 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Health Information Management (134 citations), Health Informatics (19 citations) and Cancer Research (149 citations). Bastien Rance has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Anita Burgun, Antoine Neuraz, Nicolas Garcelon, Pierre Laurent‐Puig, Christel Daniel, Paul Avillach, Rémi Salomon, Patrice Degoulet, Vincent Benoît and Gilles Châtellier. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.
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.