Benoît Iung
Impact in
- Medical Laboratory Technology top 0.2%
- Quality and Safety in Healthcare
-
- Reliability and Maintenance Optimization
Papers in
-
- Reliability and Maintenance Optimization 50
- Software 21
- Software Reliability and Analysis Research 21
- Co-authors
- Éric Levrat (21 shared papers)Phuc Do (20 shared papers)Adolfo Crespo Márquez (6 shared papers)A. Müller (4 shared papers)Marie‐Christine Suhner (3 shared papers)Alexandre Voisin (23 shared papers)Khanh Le Son (1 shared paper)Anne Barros (1 shared paper)
In The Last Decade
Benoît Iung
75 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Medical Laboratory Technology 237
- Safety, Risk, Reliability and Quality 856
- Software 224
- Statistics, Probability and Uncertainty 336
- Industrial and Manufacturing Engineering 367
Countries citing papers authored by Benoît Iung
This map shows the geographic impact of Benoît Iung'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 Iung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Iung more than expected).
Fields of papers citing papers by Benoît Iung
This network shows the impact of papers produced by Benoît Iung. 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 Iung. The network helps show where Benoît Iung may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Iung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 210 | |
| 2 | 2007 | 144 | |
| 3 | 2020 | 101 | |
| 4 | 2008 | 80 | |
| 5 | 2009 | 79 | |
| 6 | 2004 | 77 | |
| 7 | 2018 | 76 | |
| 8 | 2004 | 65 | |
| 9 | 2019 | 62 | |
| 10 | 2022 | 53 | |
| 11 | 2003 | 53 | |
| 12 | 2021 | 47 | |
| 13 | 1999 | 43 | |
| 14 | 2016 | 41 | |
| 15 | 2019 | 35 | |
| 16 | 2006 | 33 | |
| 17 | 2023 | 32 | |
| 18 | 2008 | 30 | |
| 19 | 2007 | 25 | |
| 20 | 2001 | 20 |
About Benoît Iung
Benoît Iung is a scholar working on Safety, Risk, Reliability and Quality, Software, Industrial and Manufacturing Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (50 papers), Software Reliability and Analysis Research (21 papers), Risk and Safety Analysis (15 papers), Quality and Safety in Healthcare (15 papers), Manufacturing Process and Optimization (15 papers), Fault Detection and Control Systems (13 papers), Machine Fault Diagnosis Techniques (11 papers) and Flexible and Reconfigurable Manufacturing Systems (9 papers). The work is most often cited by research in Medical Laboratory Technology (237 citations), Safety, Risk, Reliability and Quality (856 citations), Software (224 citations), Statistics, Probability and Uncertainty (336 citations) and Industrial and Manufacturing Engineering (367 citations). Benoît Iung has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Éric Levrat, Phuc Do, Adolfo Crespo Márquez, A. Müller, Marie‐Christine Suhner, Alexandre Voisin, Khanh Le Son, Anne Barros, Mitra Fouladirad and Chiara Franciosi. Their work appears in journals such as Reliability Engineering & System Safety, CIRP Annals, International Journal of Production Research, Journal of Cleaner Production and Computers in Industry.
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.