Johan Håkansson

1.0k total citations
55 papers, 651 citations indexed

About

Johan Håkansson is a scholar working on Transportation, Building and Construction and Sociology and Political Science. According to data from OpenAlex, Johan Håkansson has authored 55 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Transportation, 18 papers in Building and Construction and 10 papers in Sociology and Political Science. Recurrent topics in Johan Håkansson's work include Urban Transport and Accessibility (14 papers), Urban and Freight Transport Logistics (10 papers) and Transportation Planning and Optimization (9 papers). Johan Håkansson is often cited by papers focused on Urban Transport and Accessibility (14 papers), Urban and Freight Transport Logistics (10 papers) and Transportation Planning and Optimization (9 papers). Johan Håkansson collaborates with scholars based in Sweden, China and France. Johan Håkansson's co-authors include Hasan Fleyeh, Mengjie Han, Paria Sadeghian, Xiaoyun Zhao, Gunnar Malmberg, Niklas Rudholm, Kenneth Carling, Tao Jia, Göran Boëthius and S. Henriksson and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Sustainability.

In The Last Decade

Johan Håkansson

48 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Håkansson Sweden 15 245 155 101 95 84 55 651
Jan Scheurer Australia 14 237 1.0× 570 3.7× 177 1.8× 55 0.6× 56 0.7× 37 778
Carmen Lizárraga Spain 10 60 0.2× 233 1.5× 59 0.6× 63 0.7× 40 0.5× 51 452
Angela Sanguinetti United States 16 270 1.1× 72 0.5× 111 1.1× 29 0.3× 104 1.2× 51 895
Rui A. R. Ramos Portugal 16 195 0.8× 402 2.6× 42 0.4× 43 0.5× 59 0.7× 75 740
Eleni Bardaka United States 12 115 0.5× 304 2.0× 90 0.9× 95 1.0× 52 0.6× 36 528
Paola Pucci Italy 12 51 0.2× 171 1.1× 51 0.5× 25 0.3× 56 0.7× 61 366
Jinwoo Lee Australia 17 336 1.4× 623 4.0× 195 1.9× 42 0.4× 49 0.6× 83 1.1k
Jen‐Jia Lin Taiwan 20 390 1.6× 963 6.2× 221 2.2× 186 2.0× 68 0.8× 59 1.2k
William Riggs United States 19 256 1.0× 746 4.8× 216 2.1× 115 1.2× 146 1.7× 100 1.1k
Hongbo Yu China 13 148 0.6× 565 3.6× 69 0.7× 60 0.6× 96 1.1× 24 952

Countries citing papers authored by Johan Håkansson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Håkansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Håkansson

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Håkansson. A scholar is included among the top collaborators of Johan Håkansson 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 Johan Håkansson. Johan Håkansson 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.
Sadeghian, Paria, et al.. (2024). A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data. Transportation. 52(4). 1745–1765. 9 indexed citations
2.
Sadeghian, Paria, et al.. (2024). Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data. Transportmetrica B Transport Dynamics. 12(1). 3 indexed citations
3.
Håkansson, Johan, et al.. (2022). CO2 Emissions Induced by Vehicles Cruising for Empty Parking Spaces in an Open Parking Lot. Sustainability. 14(7). 3742–3742. 20 indexed citations
4.
Håkansson, Johan, et al.. (2022). Last-mile logistics of perishable products: a review of effectiveness and efficiency measures used in empirical research. International Journal of Retail & Distribution Management. 50(13). 116–139. 7 indexed citations
5.
Fleyeh, Hasan, et al.. (2021). Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter. Journal of Advanced Transportation. 2021. 1–12. 4 indexed citations
6.
Zhao, Xiaoyun, et al.. (2019). How Does the Complexity of A Road Network Affect Optimal Facility Locations?. Dalarna University College Electronic Archive. 64–71.
7.
Håkansson, Johan & Gunnar Isacsson. (2018). The spatial extent of agglomeration economies across the wage earnings distribution. Journal of Regional Science. 59(2). 281–301. 12 indexed citations
8.
Lemarchand, Laurent, et al.. (2018). Multiobjective Optimization for Multimode Transportation Problems. SHILAP Revista de lepidopterología. 2018. 1–13. 8 indexed citations
9.
Håkansson, Johan, et al.. (2018). How do administrative borders affect accessibility to hospitals? The case of Sweden. The International Journal of Health Planning and Management. 33(3).
10.
Fleyeh, Hasan, et al.. (2018). Smart Parking Tools Suitability for Open Parking Lots: A Review. Dalarna University College Electronic Archive. 600–609. 4 indexed citations
11.
Han, Mengjie, et al.. (2015). Testing the gravity p -median model empirically. SHILAP Revista de lepidopterología. 2. 124–132. 2 indexed citations
12.
Håkansson, Johan, et al.. (2013). Rule versus Interaction Function: Evaluating Regional Aggregations of Commuting Flows in Sweden. European journal of transport and infrastructure research. 18 indexed citations
13.
Han, Mengjie, et al.. (2013). How do different densities in a network affect the optimal location of service centers. Dalarna University College Electronic Archive. 5 indexed citations
14.
Carling, Kenneth, Mengjie Han, & Johan Håkansson. (2012). Does Euclidean distance work well when the p-median model is applied in rural areas?. Annals of Operations Research. 201(1). 83–97. 22 indexed citations
15.
Han, Mengjie, et al.. (2012). How does the use of different road networks effect the optimal location of facilities in rural areas. Dalarna University College Electronic Archive. 4 indexed citations
16.
Håkansson, Johan. (2011). Impact of migration, natural population change and age composition on the redistribution of the population in Sweden 1970 - 1996. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Henriksson, S., Göran Boëthius, Johan Håkansson, & Göran Isacsson. (2003). Indications for and outcome of antidepressant medication in a general population: a prescription database and medical record study, in Jämtland county, Sweden, 1995. Acta Psychiatrica Scandinavica. 108(6). 427–431. 45 indexed citations
18.
Håkansson, Johan, et al.. (1996). The changing residential patterns of immigrants - the case of Sweden 1973-1992. Finnish Yearbook of Population Research. 173–183. 4 indexed citations
19.
Håkansson, Johan, et al.. (1995). Population Redistribution in Sweden. Geografiska Annaler Series B Human Geography. 77(1). 31–45. 30 indexed citations
20.
Håkansson, Johan, et al.. (1995). Population Redistribution in Sweden: Long Term Trends and Contemporary Tendencies. Geografiska Annaler Series B Human Geography. 77(1). 31–31. 25 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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