M. Benkebil

3.8k total citations
9 papers, 168 citations indexed

About

M. Benkebil is a scholar working on Toxicology, Radiation and Computational Theory and Mathematics. According to data from OpenAlex, M. Benkebil has authored 9 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Toxicology, 3 papers in Radiation and 3 papers in Computational Theory and Mathematics. Recurrent topics in M. Benkebil's work include Pharmacovigilance and Adverse Drug Reactions (6 papers), Computational Drug Discovery Methods (3 papers) and Academic integrity and plagiarism (2 papers). M. Benkebil is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (6 papers), Computational Drug Discovery Methods (3 papers) and Academic integrity and plagiarism (2 papers). M. Benkebil collaborates with scholars based in France, Germany and United Kingdom. M. Benkebil's co-authors include A. Isambert, Dimitri Lefkopoulos, Joëlle Micallef, Lydia Fresco, Olivier Commowick, Grégoire Malandain, Jean Bourhis, Vincent Grégoire, Richard Sims and François Bidault and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Radiotherapy and Oncology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

M. Benkebil

9 papers receiving 166 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Benkebil France	6	61	52	37	27	24	9	168
Zhiheng Xu United States	8	41 0.7×	7 0.1×	39 1.1×	34 1.3×	6 0.3×	17	222
Saleh Sandoughdaran Iran	10	177 2.9×	10 0.2×	1 0.0×	83 3.1×	40 1.7×	23	314
Xin Tie China	9	184 3.0×	30 0.6×		32 1.2×	33 1.4×	24	264
Piet Vercauter Belgium	5	44 0.7×	2 0.0×	4 0.1×	9 0.3×	116 4.8×	7	181
Zhiyong Xu China	9	198 3.2×	85 1.6×		55 2.0×	144 6.0×	29	306
Paul C. Pearlman United States	8	61 1.0×	2 0.0×	1 0.0×	32 1.2×	27 1.1×	21	310
Dariush Askari Iran	5	197 3.2×	10 0.2×		88 3.3×	34 1.4×	7	229
Tushar Kumar India	8	12 0.2×	22 0.4×		4 0.1×	26 1.1×	38	255
Kiyonari Inamura Japan	10	139 2.3×	15 0.3×	1 0.0×	35 1.3×	123 5.1×	64	272
Joseph T. Azok United States	10	30 0.5×	3 0.1×		21 0.8×	77 3.2×	17	240

Countries citing papers authored by M. Benkebil

Since Specialization

Citations

This map shows the geographic impact of M. Benkebil'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 M. Benkebil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Benkebil more than expected).

Fields of papers citing papers by M. Benkebil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Benkebil. 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 M. Benkebil. The network helps show where M. Benkebil may publish in the future.

Co-authorship network of co-authors of M. Benkebil

This figure shows the co-authorship network connecting the top 25 collaborators of M. Benkebil. A scholar is included among the top collaborators of M. Benkebil 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 M. Benkebil. M. Benkebil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Benkebil, M., et al.. (2022). Patient involvement in pharmacovigilance: determinants and evolution of reporting from 2011 to 2020 in France. European Journal of Clinical Pharmacology. 79(2). 229–236. 4 indexed citations

Benkebil, M., et al.. (2022). Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data. Drug Safety. 45(5). 535–548. 28 indexed citations

Lacroix, Clémence, Francesco Salvo, Valérie Gras‐Champel, et al.. (2021). French organization for the pharmacovigilance of COVID-19 vaccines: A major challenge. Therapies. 76(4). 297–303. 17 indexed citations

Létinier, Louis, M. Benkebil, Franck Rouby, et al.. (2021). Artificial Intelligence for Unstructured Healthcare Data: Application to Coding of Patient Reporting of Adverse Drug Reactions. Clinical Pharmacology & Therapeutics. 110(2). 392–400. 22 indexed citations

Pariente, Alexandre, Ghada Miremont‐Salamé, Aurélie Grandvuillemin, et al.. (2020). Contribution of Causality Assessment for an Automated Detection of Safety Signals: An Example Using the French Pharmacovigilance Database. Drug Safety. 43(3). 243–253. 5 indexed citations

Trinh, Nhung TH, et al.. (2018). Benefits of combining change‐point analysis with disproportionality analysis in pharmacovigilance signal detection. Pharmacoepidemiology and Drug Safety. 28(3). 370–376. 8 indexed citations

Isambert, A., L. Brualla, M. Benkebil, & Dimitri Lefkopoulos. (2010). Determination of the optimal statistical uncertainty to perform electron-beam Monte Carlo absorbed dose estimation in the target volume. Cancer/Radiothérapie. 14(2). 89–95. 7 indexed citations

Sims, Richard, A. Isambert, Vincent Grégoire, et al.. (2009). A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. Radiotherapy and Oncology. 93(3). 474–478. 76 indexed citations

Benkebil, M., R. Cizeron, S. Plaszczynski, M. H. Schune, & G. Wormser. (2000). Water resistant rhodium plated reflectors for use in the DIRC BaBar Cherenkov detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 442(1-3). 364–367. 1 indexed citations

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.

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