Chris Tampère

2.1k total citations
130 papers, 1.5k citations indexed

About

Chris Tampère is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Chris Tampère has authored 130 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Transportation, 75 papers in Control and Systems Engineering and 66 papers in Building and Construction. Recurrent topics in Chris Tampère's work include Transportation Planning and Optimization (87 papers), Traffic control and management (72 papers) and Traffic Prediction and Management Techniques (62 papers). Chris Tampère is often cited by papers focused on Transportation Planning and Optimization (87 papers), Traffic control and management (72 papers) and Traffic Prediction and Management Techniques (62 papers). Chris Tampère collaborates with scholars based in Belgium, Luxembourg and Netherlands. Chris Tampère's co-authors include Francesco Viti, L H Immers, Ruben Corthout, Marco Rinaldi, Ben Immers, Dirk Cattrysse, Bart van Arem, I Yperman, Steven Logghe and Wei Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Chris Tampère

118 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Tampère Belgium 23 1.2k 1.0k 790 254 129 130 1.5k
Renxin Zhong China 26 1.0k 0.9× 1.2k 1.2× 847 1.1× 432 1.7× 56 0.4× 72 1.7k
Yasuo Asakura Japan 21 1.5k 1.3× 737 0.7× 1.0k 1.3× 432 1.7× 107 0.8× 116 2.2k
Andy H.F. Chow Hong Kong 28 1.2k 1.0× 1.0k 1.0× 916 1.2× 317 1.2× 91 0.7× 102 1.9k
Giulio Erberto Cantarella Italy 22 1.9k 1.6× 1.2k 1.1× 645 0.8× 681 2.7× 136 1.1× 63 2.1k
Anastasios Kouvelas Switzerland 18 1.2k 1.0× 1.5k 1.4× 967 1.2× 376 1.5× 89 0.7× 100 1.7k
Carolina Osorio United States 21 853 0.7× 786 0.8× 523 0.7× 364 1.4× 52 0.4× 61 1.3k
Hillel Bar–Gera Israel 18 1.1k 0.9× 690 0.7× 342 0.4× 398 1.6× 75 0.6× 60 1.4k
Hossam Abdelgawad Canada 15 645 0.5× 735 0.7× 525 0.7× 376 1.5× 196 1.5× 35 1.2k
Xiaomei Zhao China 24 1.0k 0.8× 1.1k 1.1× 706 0.9× 508 2.0× 240 1.9× 95 1.8k
Francesco Viti Luxembourg 24 1.6k 1.3× 1.0k 1.0× 911 1.2× 674 2.7× 47 0.4× 181 2.1k

Countries citing papers authored by Chris Tampère

Since Specialization
Citations

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

Fields of papers citing papers by Chris Tampère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Tampère

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Tampère. A scholar is included among the top collaborators of Chris Tampère 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 Chris Tampère. Chris Tampère 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.
Verbas, Ömer, et al.. (2025). A mesoscopic link-transmission-model able to track individual vehicles. Simulation Modelling Practice and Theory. 140. 103088–103088. 1 indexed citations
2.
Shangguan, Wei, et al.. (2025). Two-stage adaptive CAV control for mitigating congestion in mixed traffic environments using front-tracking method. Expert Systems with Applications. 296. 129013–129013. 1 indexed citations
3.
Tampère, Chris, et al.. (2024). Traffic microsimulation for smart cities: Investigating the impact of objective function formulation on calibration efficiency. SHILAP Revista de lepidopterología. 6(4). 276–290.
4.
Vansteenwegen, Pieter, et al.. (2024). A travel demand modeling framework based on OpenStreetMap. Discover Civil Engineering. 1(1). 2 indexed citations
5.
Tampère, Chris, et al.. (2021). DUET: A Framework for Building Interoperable and Trusted Digital Twins of Smart Cities. IEEE Internet Computing. 26(3). 43–50. 66 indexed citations
6.
Tampère, Chris, et al.. (2018). Evaluating the performance of a genetic algorithm to solve the line planning problem for a bus service. Lirias (KU Leuven). 1 indexed citations
7.
Tampère, Chris, et al.. (2017). Evaluating the performance of a genetic algorithm to solve the line planning problem for a bus service. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Tampère, Chris, et al.. (2016). Anticipatory Assistance for Real Time Ride-Sharing in Environments of Pervasive Computing. Transportation Research Board 95th Annual MeetingTransportation Research Board.
9.
Tampère, Chris, et al.. (2016). Modelling Framework for Optimal Mobility Services Considering Modal Choice and Vehicle Ownership Decisions. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
10.
Rinaldi, Marco, et al.. (2016). Improving the accuracy of OD estimation from traffic counts employing a partial observabillity maximizing methodology. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
11.
Christofa, Eleni, et al.. (2015). Optimal Traffic Signal Settings With Transit Signal Priority. Transportation Research Board 94th Annual MeetingTransportation Research Board. 4 indexed citations
12.
Skabardonis, Alexander, et al.. (2015). Control Strategies For Transit Priority: Comparing Adaptive Priority With Full Transit Signal Priority. Transportation Research Board 94th Annual MeetingTransportation Research Board. 4 indexed citations
13.
Tampère, Chris, et al.. (2015). Daily modal travel costs as explanatory variables for vehicle ownership decisions. Lirias (KU Leuven). 1 indexed citations
14.
Rinaldi, Marco & Chris Tampère. (2015). Dynamic Traffic Control Clustering. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1–14. 2 indexed citations
15.
Corthout, Ruben, et al.. (2011). Marginal Dynamic Network Loading for Large-scale Simulation-Based Applications. Lirias (KU Leuven). 10 indexed citations
16.
Viti, Francesco, et al.. (2009). Traffic Performance of Short-Distanced Traffic Lights with Probabilistic Spillback. Transportation Research Board 88th Annual MeetingTransportation Research Board. 4 indexed citations
17.
Yperman, I, Steven Logghe, Chris Tampère, & Ben Immers. (2008). The link transmission model: an efficient implementation of kinematics wave theory for dynamic network loading. Archives of Transport. 147–167. 2 indexed citations
18.
Immers, Ben, et al.. (2008). A multi-agent approach to dynamic traffic management. Transportation Research Board 87th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Tampère, Chris & L H Immers. (2007). A kinematic wave dynamic network loading model, including intersection delays:. TNO Repository. 13 indexed citations
20.
Yperman, I, Steven Logghe, Chris Tampère, & Ben Immers. (2006). Multicommodity Link Transmission Model for Dynamic Network Loading. Transportation Research Board 85th Annual MeetingTransportation Research Board. 23 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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