Ihab Kaddoura

682 total citations
27 papers, 479 citations indexed

About

Ihab Kaddoura is a scholar working on Transportation, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Ihab Kaddoura has authored 27 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Transportation, 19 papers in Automotive Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Ihab Kaddoura's work include Transportation Planning and Optimization (25 papers), Transportation and Mobility Innovations (16 papers) and Urban Transport and Accessibility (10 papers). Ihab Kaddoura is often cited by papers focused on Transportation Planning and Optimization (25 papers), Transportation and Mobility Innovations (16 papers) and Urban Transport and Accessibility (10 papers). Ihab Kaddoura collaborates with scholars based in Germany, Poland and Chile. Ihab Kaddoura's co-authors include Kai Nagel, Dominik Ziemke, Joschka Bischoff, Alejandro Tirachini, Amit Agarwal, M. Maciejewski, Benjamin Kickhöfer, Andreas Neumann, Rolf Moeckel and David Masson and has published in prestigious journals such as Transportation Research Part A Policy and Practice, Transportation Research Part D Transport and Environment and Transportation.

In The Last Decade

Ihab Kaddoura

26 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ihab Kaddoura Germany 13 359 340 106 81 66 27 479
Benjamin Kickhöfer Germany 11 273 0.8× 260 0.8× 42 0.4× 64 0.8× 17 0.3× 18 347
Elisabete Arsénio Portugal 11 297 0.8× 137 0.4× 137 1.3× 13 0.2× 40 0.6× 43 450
Dominik Ziemke Germany 9 315 0.9× 209 0.6× 98 0.9× 52 0.6× 14 0.2× 17 383
Sanhita Das India 12 260 0.7× 160 0.5× 140 1.3× 216 2.7× 24 0.4× 26 522
Vincenza Torrisi Italy 14 262 0.7× 138 0.4× 134 1.3× 23 0.3× 13 0.2× 32 405
Antonino Canale Italy 14 231 0.6× 138 0.4× 122 1.2× 91 1.1× 24 0.4× 34 444
Monique Stinson United States 11 603 1.7× 156 0.5× 216 2.0× 23 0.3× 21 0.3× 25 709
Soheil Sohrabi United States 10 149 0.4× 180 0.5× 67 0.6× 59 0.7× 19 0.3× 21 360
Eloísa Macedo Portugal 11 179 0.5× 254 0.7× 64 0.6× 78 1.0× 47 0.7× 48 393
Livia Mannini Italy 11 244 0.7× 113 0.3× 158 1.5× 80 1.0× 49 0.7× 32 390

Countries citing papers authored by Ihab Kaddoura

Since Specialization
Citations

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

Fields of papers citing papers by Ihab Kaddoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ihab Kaddoura

This figure shows the co-authorship network connecting the top 25 collaborators of Ihab Kaddoura. A scholar is included among the top collaborators of Ihab Kaddoura 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 Ihab Kaddoura. Ihab Kaddoura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kaddoura, Ihab, et al.. (2023). An agent-based simulation approach to investigate the shift of Switzerland’s inland freight transport from road to rail. Transportation. 51(5). 1701–1722. 6 indexed citations
2.
3.
Charlton, William, et al.. (2021). Open-Source Web-Based Visualizer for Dynamic-Response Shared Taxi Simulations. Procedia Computer Science. 184. 728–733. 2 indexed citations
4.
Kaddoura, Ihab, et al.. (2020). The impact of pricing and service area design on the modal shift towards demand responsive transit. Procedia Computer Science. 170. 807–812. 28 indexed citations
5.
Kaddoura, Ihab, Joschka Bischoff, & Kai Nagel. (2020). Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles. Transportation Research Part A Policy and Practice. 136. 48–63. 44 indexed citations
6.
Kaddoura, Ihab & Kai Nagel. (2019). Congestion pricing in a real-world oriented agent-based simulation context. Research in Transportation Economics. 74. 40–51. 21 indexed citations
7.
Kaddoura, Ihab, et al.. (2019). Noise Shielding in an Agent-Based Transport Model Using Volunteered Geographic Data. Procedia Computer Science. 151. 808–813. 9 indexed citations
8.
Agarwal, Amit & Ihab Kaddoura. (2019). On-road Air Pollution Exposure to Cyclists in an Agent-Based Simulation Framework. Periodica Polytechnica Transportation Engineering. 48(2). 117–125. 19 indexed citations
9.
Ziemke, Dominik, et al.. (2018). An Accessibility Driven Evolutionary Transit Network Design Approach in the Multi-agent Simulation Environment. Procedia Computer Science. 136. 499–510. 1 indexed citations
10.
Bischoff, Joschka, Ihab Kaddoura, M. Maciejewski, & Kai Nagel. (2018). Simulation-based optimization of service areas for pooled ride-hailing operators. Procedia Computer Science. 130. 816–823. 26 indexed citations
11.
Kaddoura, Ihab, Amit Agarwal, & Benjamin Kickhöfer. (2017). Simulation-based optimization of congestion costs, noise damages and air pollution costs (CNA): The impact of route and mode choice. elib (German Aerospace Center). 1 indexed citations
12.
Kaddoura, Ihab, et al.. (2017). An activity-based and dynamic approach to calculate road traffic noise damages. Transportation Research Part D Transport and Environment. 54. 335–347. 44 indexed citations
13.
Kaddoura, Ihab & Kai Nagel. (2017). Simultaneous internalization of traffic congestion and noise exposure costs. Transportation. 45(5). 1579–1600. 21 indexed citations
14.
Kaddoura, Ihab, et al.. (2016). User-specific and Dynamic Internalization of Road Traffic Noise Exposures. Networks and Spatial Economics. 17(1). 153–172. 16 indexed citations
15.
Neumann, Andreas, Ihab Kaddoura, & Kai Nagel. (2016). Mind the Gap – Passenger Arrival Patterns in Multi-agent Simulations. DepositOnce. 4(1). 27–40. 3 indexed citations
16.
Neumann, Andreas, Ihab Kaddoura, & Kai Nagel. (2016). Mind the Gap – Passenger Arrival Patterns in Multi-agent Simulations. 4(1). 27–40. 4 indexed citations
17.
Kaddoura, Ihab & Kai Nagel. (2016). Agent-based Congestion Pricing and Transport Routing with Heterogeneous Values of Travel Time Savings. Procedia Computer Science. 83. 908–913. 9 indexed citations
18.
Kaddoura, Ihab. (2015). Marginal Congestion Cost Pricing in a Multi-agent Simulation Investigation of the Greater Berlin Area. Journal of transport economics and policy. 49(4). 560–578. 14 indexed citations
19.
Kaddoura, Ihab, et al.. (2015). Optimal Public Transport Pricing: Towards an Agent-based Marginal Social Cost Approach. Journal of transport economics and policy. 49(2). 200–218. 24 indexed citations
20.
Kaddoura, Ihab, et al.. (2014). Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness. Transportation. 42(6). 1039–1061. 26 indexed citations

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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