Benoît Beck

475 citations
12 papers · 385 · h-index 8

Impact in

Papers in

Benoît Beck

12 papers receiving 373 citations

Peers

Benoît Beck
Comparison fields: 5 of 80
  • Pharmaceutical Science 146
  • Endocrinology, Diabetes and Metabolism 41
  • Oncology 42
  • Management Information Systems 21
  • Modeling and Simulation 9
Replace Stephan Schaller with:
Stephan Schaller Germany
Walter G. Chambliss United States
Claude Roques France
Andrés Olivares‐Morales Switzerland
Yves Plusquellec France
Åsa K. Sjöberg Sweden
Michael Sevestre Germany
Yuanfeng Lyu Hong Kong
Dechao Tan Macao
Benoît Beck relative to Stephan Schaller Germany Stephan Schaller's profile →
Citations per field
00.5×2×4×6×8×9.1×
Stephan Schaller · 1×
Citations per year

Countries citing papers authored by Benoît Beck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benoît Beck Line = papers co-authored together Benoît Beck links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004138
2 200890
3 200840
4 201726
5 200924
6 200418
7
Assay Operations for SAR Support
201216
8 200514
9 20088
10 19996
11 20083
12 20142

About Benoît Beck

Benoît Beck is a scholar working on Pharmaceutical Science, Statistics and Probability, Management Information Systems, Computational Theory and Mathematics and Oncology, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (3 papers), Statistical Methods in Clinical Trials (2 papers), Computational Drug Discovery Methods (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Advanced Queuing Theory Analysis (1 paper), Statistical Distribution Estimation and Applications (1 paper), Water Quality and Resources Studies (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Pharmaceutical Science (146 citations), Endocrinology, Diabetes and Metabolism (41 citations), Oncology (42 citations), Management Information Systems (21 citations) and Modeling and Simulation (9 citations). Benoît Beck has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Patrick Augustijns, Marianne Oth, F. Ingels, Pasquale J Palumbo, Andrea De Gaetano, Juliana M. Bue‐Valleskey, Niels K Pørksen, Thomas Andrew Hardy, Bernadette B. Govaerts and Jan van Gelder. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Innovation, Advances in Applied Probability, Pharmaceutical Statistics and Environmetrics.

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.

Explore authors with similar magnitude of impact