S. Mammar
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Transportation top 5%
- Building and Construction top 10%
- Ocean Engineering top 10%
- Co-authors
- Jean‐Patrick LebacqueMariana NettoBenoît LusettiHabib Haj-SalemSébastien GlaserDalil IchalalNaiqi WuMengChu Zhou
- Topics
- Traffic control and management (11 papers)Vehicle Dynamics and Control Systems (7 papers)Transportation Planning and Optimization (7 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsAccident Analysis & PreventionTransportation Research Part B Methodological
- Partner nations
- FranceUnited StatesMexico
In The Last Decade
S. Mammar
19 papers receiving 392 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 333
- Automotive Engineering 171
- Transportation 126
- Building and Construction 94
- Ocean Engineering 53
Countries citing papers authored by S. Mammar
This map shows the geographic impact of S. Mammar'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 S. Mammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mammar more than expected).
Fields of papers citing papers by S. Mammar
This network shows the impact of papers produced by S. Mammar. 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 S. Mammar. The network helps show where S. Mammar may publish in the future.
Co-authorship network of co-authors of S. Mammar
This figure shows the co-authorship network connecting the top 25 collaborators of S. Mammar. A scholar is included among the top collaborators of S. Mammar 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 S. Mammar. S. Mammar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 119 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | Second order traffic flow modelIing: supply-demand analysis of the inhomogeneous Riemann problem and of boundary conditions | 7 |
| 13 | Generic Second Order Traffic Flow Modelling | 50 |
| 14 | 62 | |
| 15 | Hybrid Model Based on Second-Order Traffic Model | 2 |
| 16 | 37 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | METACOR: A MACROSCOPIC MODELLING TOOL FOR URBAN CORRIDOR | 25 |
About S. Mammar
S. Mammar is a scholar working on Transportation, Control and Systems Engineering and Automotive Engineering, having authored 20 papers that have together received 418 indexed citations. Recurring topics across this work include Traffic control and management (11 papers), Vehicle Dynamics and Control Systems (7 papers) and Transportation Planning and Optimization (7 papers). The work is most often cited by research in Transportation (126 citations), Control and Systems Engineering (333 citations) and Automotive Engineering (171 citations). S. Mammar has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include Jean‐Patrick Lebacque, Mariana Netto, Benoît Lusetti, Habib Haj-Salem, Sébastien Glaser, Dalil Ichalal, Naiqi Wu, MengChu Zhou, Li‐Ping Bai and Feng Chu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Accident Analysis & Prevention and Transportation Research Part B Methodological.
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.