Kristian Henrickson
- Building and Construction top 1%
- Transportation top 1%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Yinhai WangZhiyong CuiRuimin KeYajie ZouJinjun TangFilipe RodriguesFrancisco C. PereiraZhibin Li
- Topics
- Traffic Prediction and Management Techniques (12 papers)Transportation Planning and Optimization (5 papers)Traffic and Road Safety (4 papers)
- Journals
- PLoS ONEIEEE Transactions on Intelligent Transportation SystemsTransportation Research Part C Emerging Technologies
- Partner nations
- United StatesChinaItaly
In The Last Decade
Kristian Henrickson
15 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Building and Construction 661
- Transportation 513
- Control and Systems Engineering 310
- Artificial Intelligence 171
- Safety, Risk, Reliability and Quality 141
Countries citing papers authored by Kristian Henrickson
This map shows the geographic impact of Kristian Henrickson'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 Kristian Henrickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristian Henrickson more than expected).
Fields of papers citing papers by Kristian Henrickson
This network shows the impact of papers produced by Kristian Henrickson. 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 Kristian Henrickson. The network helps show where Kristian Henrickson may publish in the future.
Co-authorship network of co-authors of Kristian Henrickson
This figure shows the co-authorship network connecting the top 25 collaborators of Kristian Henrickson. A scholar is included among the top collaborators of Kristian Henrickson 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 Kristian Henrickson. Kristian Henrickson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting | 32 |
| 3 | Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecastingbreakdown → | 640 |
| 4 | 60 | |
| 5 | 55 | |
| 6 | 42 | |
| 7 | 21 | |
| 8 | 15 | |
| 9 | 53 | |
| 10 | 5 | |
| 11 | 37 | |
| 12 | 8 | |
| 13 | 48 | |
| 14 | 8 | |
| 15 | 22 |
About Kristian Henrickson
Kristian Henrickson is a scholar working on Building and Construction, Transportation and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (12 papers), Transportation Planning and Optimization (5 papers) and Traffic and Road Safety (4 papers). The work is most often cited by research in Transportation (513 citations), Building and Construction (661 citations) and Computational Mathematics (17 citations). Kristian Henrickson has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yinhai Wang, Zhiyong Cui, Ruimin Ke, Yajie Zou, Jinjun Tang, Filipe Rodrigues, Francisco C. Pereira, Zhibin Li, Yinsong Wang and Dominique Lord. Their work appears in journals such as PLoS ONE, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.
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.