Clas Rydergren

533 total citations
37 papers, 302 citations indexed

About

Clas Rydergren is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Clas Rydergren has authored 37 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Transportation, 16 papers in Building and Construction and 15 papers in Control and Systems Engineering. Recurrent topics in Clas Rydergren's work include Transportation Planning and Optimization (28 papers), Traffic control and management (13 papers) and Traffic Prediction and Management Techniques (13 papers). Clas Rydergren is often cited by papers focused on Transportation Planning and Optimization (28 papers), Traffic control and management (13 papers) and Traffic Prediction and Management Techniques (13 papers). Clas Rydergren collaborates with scholars based in Sweden, United States and Ecuador. Clas Rydergren's co-authors include David Gundlegård, Joakim Ekström, Torbjörn Larsson, Michael Patriksson, Leonid Engelson, Andreas Tapani, Daniel Jönsson, Ida Kristoffersson, Alexandre M. Bayen and Johan Olstam and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part B Methodological and Transportation Research Part A Policy and Practice.

In The Last Decade

Clas Rydergren

32 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clas Rydergren Sweden 11 246 113 94 59 13 37 302
Zhiren Huang China 10 279 1.1× 159 1.4× 38 0.4× 36 0.6× 22 1.7× 21 378
Linjie Gao China 9 196 0.8× 105 0.9× 39 0.4× 54 0.9× 14 1.1× 25 293
Zhanhong Cheng Canada 11 208 0.8× 115 1.0× 49 0.5× 73 1.2× 11 0.8× 23 277
Yongtaek Lim South Korea 8 247 1.0× 94 0.8× 66 0.7× 52 0.9× 24 1.8× 20 331
Shahadat Iqbal United States 8 405 1.6× 130 1.2× 60 0.6× 58 1.0× 19 1.5× 18 479
Sajjad Shafiei Australia 7 236 1.0× 180 1.6× 156 1.7× 74 1.3× 5 0.4× 20 293
L. Montero Spain 9 281 1.1× 200 1.8× 102 1.1× 50 0.8× 17 1.3× 15 340
Natalia Isaenko Italy 9 208 0.8× 208 1.8× 136 1.4× 55 0.9× 22 1.7× 19 305
Marcel Rieser Switzerland 9 293 1.2× 84 0.7× 92 1.0× 155 2.6× 5 0.4× 21 362
Jiwon Kim Australia 9 189 0.8× 114 1.0× 38 0.4× 54 0.9× 35 2.7× 16 306

Countries citing papers authored by Clas Rydergren

Since Specialization
Citations

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

Fields of papers citing papers by Clas Rydergren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clas Rydergren

This figure shows the co-authorship network connecting the top 25 collaborators of Clas Rydergren. A scholar is included among the top collaborators of Clas Rydergren 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 Clas Rydergren. Clas Rydergren 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.
Gundlegård, David, et al.. (2025). Consistent origin-destination and link flow estimation based on data-driven network assignment. Transportation research procedia. 86. 668–675.
2.
Kristoffersson, Ida, et al.. (2025). Modelling travel mode choice on combined data sources using machine learning methods. Transportation research procedia. 86. 88–95.
3.
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5.
Rydergren, Clas, et al.. (2020). Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model. Journal of Advanced Transportation. 2020. 1–17. 16 indexed citations
6.
Liu, Chengxi, Andreas Tapani, Ida Kristoffersson, Clas Rydergren, & Daniel Jönsson. (2020). Appraisal of cycling infrastructure investments using a transport model with focus on cycling. Case Studies on Transport Policy. 9(1). 125–136. 10 indexed citations
7.
Liu, Chengxi, Andreas Tapani, Ida Kristoffersson, Clas Rydergren, & Daniel Jönsson. (2020). Development of a large-scale transport model with focus on cycling. Transportation Research Part A Policy and Practice. 134. 164–183. 13 indexed citations
8.
Rydergren, Clas, et al.. (2018). Discovering Regularity in Mobility Patterns to Identify Predictable Aggregate Supply for Ridesharing. Transportation Research Record Journal of the Transportation Research Board. 2672(42). 213–223. 6 indexed citations
9.
Gundlegård, David, et al.. (2017). Cellpath Routing and Route Traffic Flow Estimation Based on Cellular Network Data. Journal of Urban Technology. 25(2). 85–104. 11 indexed citations
10.
Gundlegård, David, et al.. (2016). Travel demand estimation and network assignment based on cellular network data. Computer Communications. 95. 29–42. 37 indexed citations
11.
Bayen, Alexandre M., et al.. (2014). Calibration Framework based on Bluetooth Sensors for Traffic State Estimation Using a Velocity based Cell Transmission Model. Transportation research procedia. 3. 972–981. 10 indexed citations
12.
Ekström, Joakim, Leonid Engelson, & Clas Rydergren. (2014). Optimal toll locations and toll levels in congestion pricing schemes: a case study of Stockholm. Transportation Planning and Technology. 37(4). 333–353. 6 indexed citations
13.
Rydergren, Clas. (2013). Comparison of headway-based public transport models. Public Transport. 5(3). 177–191. 1 indexed citations
14.
Ekström, Joakim, Leonid Engelson, & Clas Rydergren. (2008). Decision support for finding locations and toll levels within a congestion pricing scheme. Transportation Research Board 87th Annual MeetingTransportation Research Board. 1 indexed citations
15.
Larsson, Torbjörn, et al.. (2008). A comparison of feasible direction methods for the stochastic transportation problem. Computational Optimization and Applications. 46(3). 451–466. 7 indexed citations
16.
Olstam, Johan, et al.. (2008). Estimation of Volume Delay Functions for Urban Environments Based on an Analytical Intersection Model. 1 indexed citations
17.
Ekström, Joakim, Leonid Engelson, & Clas Rydergren. (2008). A heuristic method for finding congestion pricing schemes in transportation networks with modal choice. 773–782. 1 indexed citations
18.
Lundgren, Jan T., Anders Peterson, & Clas Rydergren. (2007). A Heuristic for the Estimation of Time-Dependent Origin Origin–Destination Matrices from Traffic Counts. 242. 1 indexed citations
19.
Larsson, Torbjörn, Jan T. Lundgren, Michael Patriksson, & Clas Rydergren. (2004). NUMERICAL EXPERIMENTS WITH A DECISION SUPPORT METHODOLOGY FOR STRATEGIC TRAFFIC MANAGEMENT. IN: URBAN AND REGIONAL TRANSPORTATION MODELING. ESSAYS IN HONOR OF DAVID BOYCE.
20.
Larsson, Torbjörn, Michael Patriksson, & Clas Rydergren. (2003). A column generation procedure for the side constrained traffic equilibrium problem. Transportation Research Part B Methodological. 38(1). 17–38. 28 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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2026