Mohand-Said Hacid
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Mohand-Said Hacid has a total of 21 co-authors. Here are the top co-authors by number of shared publications:
- Alain Girault
Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP
2 shared publications - Benjamin Guedj
Department of Computer Science University College London
2 shared publications - Nicolas P. Rougier
Univ. Bordeaux, INRIA, IMN, UMR 5293
2 shared publications - Pierre Alliez
INRIA, Sophia-Antipolis, France
2 shared publications - Roberto Di Cosmo
Universite Paris Cite
2 shared publications - Allel Hadjali
ISAE-ENSMA, Université de Poitiers, LIAS, Poitiers, France
1 shared publication
Latest Publications
- Open Access
- 18 March 2026
- Published by Springer Nature in Air Quality, Atmosphere & Health
- Vol. 19 (4) , 73
Independent associations of air pollution and weather with hospital admissions for circulatory and respiratory diseases in the Lyon metropolitan area, France (2012–2019): a distributed lag nonlinear analysis
The impact of air pollution on respiratory and circulatory diseases is a major public health topic. The present study examines the impact of air pollution and weather on hospital admissions for circulatory and respiratory diseases in adults in the Lyon metropolitan area, France. A quasi-Poisson generalized linear model, along with a distributed lag nonlinear model (DLNM), was used to investigate the nonlinear exposure-response relationships of air pollutants and weather variables on daily adult hospital admissions from 2012 to 2019. Subgroup analyses by age, French deprivation index (FDep), and Charlson comorbidity index (CCI) were performed. Based on cumulative effects over the entire lag range, results showed that for respiratory admissions, CO at the 99th percentile was positively associated with overall admissions, and admissions of patients aged $$\ge $$ 65 years, FDep>1, and CCI $$=\{0,1\}$$ . PM10 >75th percentile was negatively associated with overall admissions and admissions of patients aged $$\ge $$ 65, FDep=1 or >1, and CCI $$=\{0,1\}$$ . Ox below the median was positively associated with admissions in patients aged $$\ge $$ 65, and negatively associated at the 75th percentile. Temperature at the 99th percentile was negatively associated with overall admissions, and admissions in patients categorized as FDep=1 and CCI>1. Rainfall at the 99th percentile was negatively associated with admissions in patients categorized as CCI $$=\{0,1\}$$ . For circulatory admissions, only wind speed above the median was positively associated with overall admissions and admissions of patients categorized as FDep=1. Lag-specific associations revealed heterogeneous temporal patterns across exposures and subgroups.- 18 March 2026
- Published by Springer Nature in Air Quality, Atmosphere & Health
- Vol. 19 (4) , 73
Open AccessIndependent associations of air pollution and weather with hospital admissions for circulatory and respiratory diseases in the Lyon metropolitan area, France (2012–2019): a distributed lag nonlinear analysis
The impact of air pollution on respiratory and circulatory diseases is a major public health topic. The present study examines the impact of air pollution and weather on hospital admissions for circulatory and respiratory diseases in adults in the Lyon metropolitan area, France. A quasi-Poisson generalized linear model, along with a distributed lag nonlinear model (DLNM), was used to investigate the nonlinear exposure-response relationships of air pollutants and weather variables on daily adult hospital admissions from 2012 to 2019. Subgroup analyses by age, French deprivation index (FDep), and Charlson comorbidity index (CCI) were performed. Based on cumulative effects over the entire lag range, results showed that for respiratory admissions, CO at the 99th percentile was positively associated with overall admissions, and admissions of patients aged $$\ge $$ 65 years, FDep>1, and CCI $$=\{0,1\}$$ . PM10 >75th percentile was negatively associated with overall admissions and admissions of patients aged $$\ge $$ 65, FDep=1 or >1, and CCI $$=\{0,1\}$$ . Ox below the median was positively associated with admissions in patients aged $$\ge $$ 65, and negatively associated at the 75th percentile. Temperature at the 99th percentile was negatively associated with overall admissions, and admissions in patients categorized as FDep=1 and CCI>1. Rainfall at the 99th percentile was negatively associated with admissions in patients categorized as CCI $$=\{0,1\}$$ . For circulatory admissions, only wind speed above the median was positively associated with overall admissions and admissions of patients categorized as FDep=1. Lag-specific associations revealed heterogeneous temporal patterns across exposures and subgroups. - 25 January 2026
- Published by Springer Nature in Journal of Intelligent Information Systems
- Vol. 64 (1) , 1-4
Special issue on intelligent systems, ISMIS’24 selected papers
- 25 January 2026
- Published by Springer Nature in Journal of Intelligent Information Systems
- Vol. 64 (1) , 1-4
Special issue on intelligent systems, ISMIS’24 selected papers
- 8 October 2022
- Published by Springer Nature
- p. 1-27
Threats Modeling and Anomaly Detection in the Behaviour of a System - A Review of Some Approaches
- 8 October 2022
- Published by Springer Nature
- p. 1-27
Threats Modeling and Anomaly Detection in the Behaviour of a System - A Review of Some Approaches
- 7 January 2022
- Published by Springer Nature in Service Oriented Computing and Applications
- Vol. 16 (1) , 31-44
Access control based on entity matching for secure data sharing
- 7 January 2022
- Published by Springer Nature in Service Oriented Computing and Applications
- Vol. 16 (1) , 31-44
Access control based on entity matching for secure data sharing
- Open Access
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria
Software is a fundamental pillar of modern scientiic research, not only in computer science, but actually across all elds and disciplines. However, there is a lack of adequate means to cite and reference software, for many reasons. An obvious rst reason is software authorship, which can range from a single developer to a whole team, and can even vary in time. The panorama is even more complex than that, because many roles can be involved in software development: software architect, coder, debugger, tester, team manager, and so on. Arguably, the researchers who have invented the key algorithms underlying the software can also claim a part of the authorship. And there are many other reasons that make this issue complex. We provide in this paper a contribution to the ongoing eeorts to develop proper guidelines and recommendations for software citation, building upon the internal experience of Inria, the French research institute for digital sciences. As a central contribution, we make three key recommendations. (1) We propose a richer taxonomy for software contributions with a qualitative scale. (2) We claim that it is essential to put the human at the heart of the evaluation. And (3) we propose to distinguish citation from reference.
Open AccessAttributing and Referencing (Research) Software: Best Practices and Outlook from Inria
Software is a fundamental pillar of modern scientiic research, not only in computer science, but actually across all elds and disciplines. However, there is a lack of adequate means to cite and reference software, for many reasons. An obvious rst reason is software authorship, which can range from a single developer to a whole team, and can even vary in time. The panorama is even more complex than that, because many roles can be involved in software development: software architect, coder, debugger, tester, team manager, and so on. Arguably, the researchers who have invented the key algorithms underlying the software can also claim a part of the authorship. And there are many other reasons that make this issue complex. We provide in this paper a contribution to the ongoing eeorts to develop proper guidelines and recommendations for software citation, building upon the internal experience of Inria, the French research institute for digital sciences. As a central contribution, we make three key recommendations. (1) We propose a richer taxonomy for software contributions with a qualitative scale. (2) We claim that it is essential to put the human at the heart of the evaluation. And (3) we propose to distinguish citation from reference.
- 30 October 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computing in Science & Engineering
- Vol. 22 (1) , 39-52
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria
Software is a fundamental pillar of modern scientific research, across all fields and disciplines. However, there is a lack of adequate means to cite and reference software due to the complexity of the problem in terms of authorship, roles and credits. This complexity is further increased when it is considered over the lifetime of a software that can span up to several decades. Building upon the internal experience of Inria, the French research institute for digital sciences, we provide in this paper a contribution to the ongoing efforts in order to develop proper guidelines and recommendations for software citation and reference. Namely, we recommend: (1) a richer taxonomy for software contributions with a qualitative scale; (2) to put humans at the heart of the evaluation; and (3) to distinguish citation from reference.
- 30 October 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computing in Science & Engineering
- Vol. 22 (1) , 39-52
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria
Software is a fundamental pillar of modern scientific research, across all fields and disciplines. However, there is a lack of adequate means to cite and reference software due to the complexity of the problem in terms of authorship, roles and credits. This complexity is further increased when it is considered over the lifetime of a software that can span up to several decades. Building upon the internal experience of Inria, the French research institute for digital sciences, we provide in this paper a contribution to the ongoing efforts in order to develop proper guidelines and recommendations for software citation and reference. Namely, we recommend: (1) a richer taxonomy for software contributions with a qualitative scale; (2) to put humans at the heart of the evaluation; and (3) to distinguish citation from reference.