Benoît Beck
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
-
- Diabetes Management and Research
Papers in
-
- Statistical Methods in Clinical Trials 4
- Markov Chains and Monte Carlo Methods 2
- Co-authors
- Patrick Augustijns (2 shared papers)F. Ingels (1 shared paper)M. Oth (1 shared paper)Andrea De Gaetano (2 shared papers)Pasquale Palumbo (2 shared papers)Niels Pörksen (1 shared paper)Juliana Bue‐Valleskey (1 shared paper)Thomas A. Hardy (1 shared paper)
- Journals
- International Journal of Pharmaceutics (2 papers)Advances in Applied Probability (2 papers)Environmetrics (1 paper)Drug Information Journal (1 paper)Journal of Multi-Criteria Decision Analysis (1 paper)
- Partner nations
- BelgiumUnited StatesCanada
In The Last Decade
Benoît Beck
15 papers receiving 419 citations
Peers
Comparison fields: 5 of 117
- Pharmaceutical Science 97
- Endocrinology, Diabetes and Metabolism 50
- Oncology 79
- Statistics and Probability 20
- Pharmacology 19
Countries citing papers authored by Benoît Beck
This map shows the geographic impact of Benoît Beck'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 Benoît Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Beck more than expected).
Fields of papers citing papers by Benoît Beck
This network shows the impact of papers produced by Benoît Beck. 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 Benoît Beck. The network helps show where Benoît Beck may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Beck, 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 | 2004 | 135 | |
| 2 | 2008 | 82 | |
| 3 | HTS Assay Validation | 2012 | 62 |
| 4 | 2008 | 39 | |
| 5 | 2009 | 25 | |
| 6 | 2017 | 22 | |
| 7 | 2004 | 17 | |
| 8 | 2005 | 15 | |
| 9 | Assay Operations for SAR Support | 2012 | 14 |
| 10 | 1999 | 6 | |
| 11 | 2008 | 5 | |
| 12 | 2008 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 1999 | 1 |
About Benoît Beck
Benoît Beck is a scholar working on Statistics and Probability, Molecular Biology, Management Science and Operations Research, Oncology and Computational Theory and Mathematics, having authored 15 papers that have together received 430 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Analytical Chemistry and Chromatography (3 papers), Computational Drug Discovery Methods (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Drug Solubulity and Delivery Systems (2 papers), Stochastic processes and statistical mechanics (2 papers) and Probability and Risk Models (2 papers). The work is most often cited by research in Pharmaceutical Science (97 citations), Endocrinology, Diabetes and Metabolism (50 citations), Oncology (79 citations), Statistics and Probability (20 citations) and Pharmacology (19 citations). Benoît Beck has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Patrick Augustijns, F. Ingels, M. Oth, Andrea De Gaetano, Pasquale Palumbo, Niels Pörksen, Juliana Bue‐Valleskey, Thomas A. Hardy, Umberto Picchini and Bernadette Govaerts. Their work appears in journals such as International Journal of Pharmaceutics, Advances in Applied Probability, Environmetrics, Drug Information Journal and Journal of Multi-Criteria Decision Analysis.
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.