S. Mammar

672 citations
20 papers · 421 · h-index 11

Impact in

Papers in

S. Mammar

19 papers receiving 396 citations

Peers

S. Mammar
Comparison fields: 5 of 45
  • Transportation 127
  • Control and Systems Engineering 335
  • Automotive Engineering 173
  • Building and Construction 96
  • Ocean Engineering 53
Replace Jia Wu with:
Jia Wu China
Senlin Cheng China
Hongzhuan Zhao China
Habib Haj-Salem France
Femke van Wageningen-Kessels Netherlands
Nathaniel Hamilton United States
Yoon Jung United States
Boris Mirkin Israel
Yongchang Ma United States
J M Blosseville France
S. Mammar relative to Jia Wu China Jia Wu's profile →
Citations per field
00.5×1.5×1.9×
Jia Wu · 1×
Citations per year

Countries citing papers authored by S. Mammar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 21 scholars most cited alongside S. Mammar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Mammar Line = papers co-authored together S. Mammar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009120
2 200761
3
Generic Second Order Traffic Flow Modelling
200751
4 200637
5 201229
6
METACOR: A MACROSCOPIC MODELLING TOOL FOR URBAN CORRIDOR
199425
7 200920
8 200812
9 201010
10 200610
11 201710
12 20138
13
Second order traffic flow modelIing: supply-demand analysis of the inhomogeneous Riemann problem and of boundary conditions
20087
14 20167
15 20066
16 20124
17
Hybrid Model Based on Second-Order Traffic Model
20062
18 20051
19 20181
20 20190

About S. Mammar

S. Mammar is a scholar working on Control and Systems Engineering, Automotive Engineering, Transportation, Building and Construction and Mechanical Engineering, having authored 20 papers that have together received 421 indexed citations. Recurring topics across this work include Traffic control and management (11 papers), Vehicle Dynamics and Control Systems (7 papers), Transportation Planning and Optimization (7 papers), Traffic Prediction and Management Techniques (4 papers), Hydraulic and Pneumatic Systems (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Mechanical Engineering and Vibrations Research (2 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Transportation (127 citations), Control and Systems Engineering (335 citations), Automotive Engineering (173 citations), Building and Construction (96 citations) and Ocean Engineering (53 citations). S. Mammar has collaborated with scholars based in France, United States and China. Frequent co-authors include Jean‐Patrick Lebacque, Mariana Netto, Benoît Lusetti, Habib Haj-Salem, Sébastien Glaser, Dalil Ichalal, Naiqi Wu, Li‐Ping Bai, MengChu Zhou and Feng Chu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Science, Comptes Rendus Mathématique, Accident Analysis & Prevention and IEEE Control Systems Letters.

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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