David Allouche
Impact in
- Filtration and Separation top 5%
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 4
- Formal Methods in Verification 3
- Advanced Multi-Objective Optimization Algorithms 2
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- Constraint Satisfaction and Optimization 10
- Co-authors
- Thomas Schiex (20 shared papers)Simon de Givry (20 shared papers)Sophie Barbe (9 shared papers)George Katsirelos (10 shared papers)Yves‐Henri Sanejouand (3 shared papers)Isabelle André (5 shared papers)Seydou Traoré (5 shared papers)Xavier Périole (2 shared papers)
In The Last Decade
David Allouche
28 papers receiving 523 citations
Peers
Comparison fields: 5 of 71
- Filtration and Separation 26
- Computational Theory and Mathematics 101
- Computer Networks and Communications 106
- Molecular Biology 250
- Artificial Intelligence 117
Countries citing papers authored by David Allouche
This map shows the geographic impact of David Allouche'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 David Allouche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allouche more than expected).
Fields of papers citing papers by David Allouche
This network shows the impact of papers produced by David Allouche. 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 David Allouche. The network helps show where David Allouche may publish in the future.
Co-authors
The 25 scholars most cited alongside David Allouche, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 72 | |
| 2 | 2013 | 57 | |
| 3 | 2014 | 53 | |
| 4 | 1997 | 49 | |
| 5 | 2015 | 47 | |
| 6 | 2016 | 36 | |
| 7 | 1998 | 27 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 1997 | 24 | |
| 11 | 2012 | 17 | |
| 12 | 2007 | 15 | |
| 13 | Russian doll search with tree decomposition | 2009 | 12 |
| 14 | 2016 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2010 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2013 | 6 |
About David Allouche
David Allouche is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Molecular Biology, having authored 29 papers that have together received 531 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (10 papers), Protein Structure and Dynamics (8 papers), Bayesian Modeling and Causal Inference (6 papers), Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (3 papers), Formal Methods in Verification (3 papers), Data Management and Algorithms (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Filtration and Separation (26 citations), Computational Theory and Mathematics (101 citations), Computer Networks and Communications (106 citations), Molecular Biology (250 citations) and Artificial Intelligence (117 citations). David Allouche has collaborated with scholars based in France, Ireland and Algeria. Frequent co-authors include Thomas Schiex, Simon de Givry, Sophie Barbe, George Katsirelos, Yves‐Henri Sanejouand, Isabelle André, Seydou Traoré, Xavier Périole, Jean Pierre Daudey and Matthias Zytnicki. Their work appears in journals such as Artificial Intelligence, The Journal of Physical Chemistry B, Bioinformatics, PLoS ONE and Journal of Computational Chemistry.
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.