Anna Pernestål

1.0k total citations
58 papers, 669 citations indexed

About

Anna Pernestål is a scholar working on Automotive Engineering, Transportation and Control and Systems Engineering. According to data from OpenAlex, Anna Pernestål has authored 58 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Automotive Engineering, 23 papers in Transportation and 12 papers in Control and Systems Engineering. Recurrent topics in Anna Pernestål's work include Transportation and Mobility Innovations (27 papers), Transportation Planning and Optimization (20 papers) and Urban and Freight Transport Logistics (9 papers). Anna Pernestål is often cited by papers focused on Transportation and Mobility Innovations (27 papers), Transportation Planning and Optimization (20 papers) and Urban and Freight Transport Logistics (9 papers). Anna Pernestål collaborates with scholars based in Sweden, Austria and Germany. Anna Pernestål's co-authors include Yusak O. Susilo, Ida Kristoffersson, Mia Hesselgren, Azra Habibovic, Maria Klingegård, Constantinos Antoniou, Mattias Nyberg, Xiaoyun Zhao, Yiik Diew Wong and Győző Gidófalvi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Reliability Engineering & System Safety.

In The Last Decade

Anna Pernestål

55 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Pernestål Sweden 16 358 220 146 103 90 58 669
Sisi Jian Hong Kong 15 404 1.1× 278 1.3× 71 0.5× 114 1.1× 122 1.4× 57 640
Maxime Guériau Ireland 11 383 1.1× 271 1.2× 75 0.5× 243 2.4× 72 0.8× 26 649
Satu Innamaa Finland 12 215 0.6× 215 1.0× 150 1.0× 143 1.4× 51 0.6× 51 671
Santhanakrishnan Narayanan Germany 9 592 1.7× 400 1.8× 78 0.5× 134 1.3× 157 1.7× 24 743
Anna Straubinger Germany 11 367 1.0× 282 1.3× 114 0.8× 77 0.7× 19 0.2× 19 841
Carlos Llorca Germany 17 429 1.2× 460 2.1× 102 0.7× 254 2.5× 42 0.5× 50 927
Zhicai Juan China 16 176 0.5× 721 3.3× 49 0.3× 102 1.0× 82 0.9× 68 1.0k
Sohani Liyanage Australia 8 297 0.8× 411 1.9× 27 0.2× 94 0.9× 67 0.7× 13 867
Divya Jayakumar Nair Australia 10 237 0.7× 112 0.5× 107 0.7× 120 1.2× 11 0.1× 25 587
Csaba Csiszár Hungary 17 522 1.5× 280 1.3× 48 0.3× 65 0.6× 52 0.6× 71 844

Countries citing papers authored by Anna Pernestål

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pernestål

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Pernestål

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Pernestål. A scholar is included among the top collaborators of Anna Pernestål 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 Anna Pernestål. Anna Pernestål 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.
Pernestål, Anna, et al.. (2025). Power demand and queuing at heavy truck semi-public charging points: forestry transport as a case study. European Transport Research Review. 17(1).
2.
Pernestål, Anna, et al.. (2024). Electric truck adoption and charging development: Policy insights from a dynamic model. Transportation Research Part D Transport and Environment. 139. 104515–104515. 6 indexed citations
3.
Pernestål, Anna, et al.. (2024). Towards sustainable urban logistics: Exploring the implementation of city hubs through system dynamics. Transportation Research Interdisciplinary Perspectives. 27. 101204–101204. 2 indexed citations
4.
Kang, Xiaoyan, et al.. (2024). Temporal patterns of user acceptance and recommendation of the automated buses. Travel Behaviour and Society. 38. 100909–100909. 2 indexed citations
5.
Pernestål, Anna, et al.. (2023). How can we structure the future development of automation, electrification, and digitalization in the transportation sector by using morphological analysis?. Transportation research procedia. 72. 1808–1815. 2 indexed citations
6.
Susilo, Yusak O., et al.. (2023). Transition from physical to online shopping alternatives due to the COVID-19 pandemic - A case study of Italy and Sweden. Transportation Research Part A Policy and Practice. 171. 103644–103644. 9 indexed citations
7.
Zhao, Xiaoyun, et al.. (2022). Frameworks for assessing societal impacts of automated driving technology. Transportation Planning and Technology. 45(7). 545–572. 1 indexed citations
8.
Mårtensson, Jonas, et al.. (2021). Short-term maintenance planning of autonomous trucks for minimizing economic risk. Reliability Engineering & System Safety. 220. 108251–108251. 14 indexed citations
9.
Susilo, Yusak O., et al.. (2021). The trade-off behaviours between virtual and physical activities during the first wave of the COVID-19 pandemic period. European Transport Research Review. 13(1). 14–14. 38 indexed citations
10.
Susilo, Yusak O., et al.. (2020). Influence of Individual Perceptions on the Decision to Adopt Automated Bus Services. Sustainability. 12(16). 6484–6484. 26 indexed citations
11.
Pernestål, Anna, et al.. (2020). Cost Analysis of Driverless Truck Operations. Transportation Research Record Journal of the Transportation Research Board. 2674(9). 511–524. 28 indexed citations
12.
Zhao, Xiaoyun, et al.. (2020). Measuring System-Level Impacts of Corporate Mobility as a Service (CMaaS) Based on Empirical Evidence. Sustainability. 12(17). 7051–7051. 8 indexed citations
13.
Pernestål, Anna & Ida Kristoffersson. (2019). Effects of driverless vehicles. European journal of transport and infrastructure research. 19(1). 10 indexed citations
14.
Pernestål, Anna & Karl Kottenhoff. (2018). Self-driving shuttles as a complement to public transport – a characterization and classification. Transportation research procedia. 5 indexed citations
15.
Pernestål, Anna & Ida Kristoffersson. (2018). Effects of driverless vehicles: A review of simulations. RePEc: Research Papers in Economics. 1 indexed citations
16.
Pernestål, Anna, et al.. (2018). System-level impacts of self-driving vehicles : terminology, impact frameworks and existing literature syntheses. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6 indexed citations
17.
Kristoffersson, Ida, Anna Pernestål, & Lars‐Göran Mattsson. (2017). Framtidsscenarier för självkörande fordon på väg : samhällseffekter 2030 med utblick mot 2050. 1 indexed citations
18.
Pernestål, Anna. (2009). Probabilistic Fault Diagnosis with Automotive Applications. KTH Publication Database DiVA (KTH Royal Institute of Technology). 25 indexed citations
19.
Pernestål, Anna & Mattias Nyberg. (2009). Bayesian Fault Diagnosis for Automitive Engines by Combining Data and Process Knowledge. IEEE Transactions on Systems Man and Cybernetics.
20.
Pernestål, Anna & Mattias Nyberg. (2007). Probabilistic fault diagnosis based on incomplete training data with application to an automotive engine. 1610–1617. 1 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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