Lara Codecà

2.2k citations
17 papers · 1.6k indexed · 2 hit papers · h-index 10

Impact in

Papers in

Lara Codecà

17 papers receiving 1.5k citations

Hit Papers

A digital twin smart city for citizen feedback 2021 · 332 citations
3322019202620212023200400600

Peers

Lara Codecà
Comparison fields: 5 of 80
  • Transportation 379
  • Building and Construction 550
  • Automotive Engineering 372
  • Control and Systems Engineering 613
  • Industrial and Manufacturing Engineering 176
Replace Soufiene Djahel with:
Soufiene Djahel United Kingdom
Jaume Barceló Spain
Degan Zhang China
Yonglin Tian China
Adel W. Sadek United States
Vittorio Astarita Italy
Kyungtae Han United States
Neda Masoud United States
Kun Deng United States
Lara Codecà relative to Soufiene Djahel United Kingdom Soufiene Djahel's profile →
Citations per field
00.5×4.2×
Soufiene Djahel · 1×
Citations per year

Countries citing papers authored by Lara Codecà

Since Specialization
Citations

This map shows the geographic impact of Lara Codecà'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 Lara Codecà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara Codecà more than expected).

Fields of papers citing papers by Lara Codecà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lara Codecà. 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 Lara Codecà. The network helps show where Lara Codecà may publish in the future.

Co-authors

The 20 scholars most cited alongside Lara Codecà, 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 Lara Codecà Line = papers co-authored together Lara Codecà links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20223
2 20227
3
A digital twin smart city for citizen feedback
Hit paper breakdown →
2021332
4
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Hit paper breakdown →
2019662
5 20191
6 201843
7 201813
8 201819
9 2017167
10 201732
11 201546
12
LuST: a 24-hour Scenario of Luxembourg City for SUMO Traffic simulations
201513
13 2015193
14 20143
15 20138
16 20134
17 20128

About Lara Codecà

Lara Codecà is a scholar working on Transportation, Automotive Engineering, Building and Construction, Software and Computer Networks and Communications, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (9 papers), Transportation Planning and Optimization (8 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Traffic control and management (4 papers), IoT and Edge/Fog Computing (2 papers), Traffic Prediction and Management Techniques (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Smart Parking Systems Research (2 papers). The work is most often cited by research in Transportation (379 citations), Building and Construction (550 citations), Automotive Engineering (372 citations), Control and Systems Engineering (613 citations) and Industrial and Manufacturing Engineering (176 citations). Lara Codecà has collaborated with scholars based in Luxembourg, France and Germany. Frequent co-authors include Zhaojian Li, Tianshu Chu, Jie Wang, Thomas Engel, Raphaël Frank, Gary White, Siobhán Clarke, Jérôme Härri, Sébastien Faye and Jakob Erdmann. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Cities, IEEE Intelligent Transportation Systems Magazine, SHILAP Revista de lepidopterología and EPiC series in computing.

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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