This map shows the geographic impact of Pirkko Rämä'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 Pirkko Rämä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pirkko Rämä more than expected).
This network shows the impact of papers produced by Pirkko Rämä. 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 Pirkko Rämä. The network helps show where Pirkko Rämä may publish in the future.
Co-authorship network of co-authors of Pirkko Rämä
This figure shows the co-authorship network connecting the top 25 collaborators of Pirkko Rämä.
A scholar is included among the top collaborators of Pirkko Rämä 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 Pirkko Rämä. Pirkko Rämä is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Malone, Kerry, Anne Silla, Pirkko Rämä, et al.. (2016). Improving the safety and mobility of vulnerable road users through ITS applications [VRUITS] D2.2 assessment methodology. Loughborough University Institutional Repository (Loughborough University).3 indexed citations
4.
Silla, Anne, Pirkko Rämä, Lars Ledén, et al.. (2015). Are intelligent transport systems effective in improving the safety of vulnerable road users. Loughborough University Institutional Repository (Loughborough University).2 indexed citations
5.
Diederichs, Frederik, et al.. (2014). Impact evaluation methodology for collaborative transport applications. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2715–2719.1 indexed citations
6.
Rämä, Pirkko, et al.. (2008). Drivers' opinions about road weather conditions and road weather information. Interviews during winter conditions. 3201096.1 indexed citations
7.
Rämä, Pirkko, et al.. (2008). Determining the successfulness of the road weather information service 1997-2007. 3201095.
Luoma, Juha & Pirkko Rämä. (2002). ACCEPTANCE OF TRAFFIC SIGN INFORMATION PROVIDED BY AN IN-VEHICLE TERMINAL.13 indexed citations
11.
Rämä, Pirkko. (2001). Effects of weather-controlled variable message signing on driver behaviour. Aaltodoc (Aalto University). 14(1). 17–19.33 indexed citations
12.
Luoma, Juha & Pirkko Rämä. (2001). Comprehension of pictograms for variable message signs. Traffic engineering & control. 42(2). 53–58.11 indexed citations
13.
Luoma, Juha, et al.. (2001). UNDERSTANDING CONTROL STRATEGIES AND TECHNICAL FEATURES OF VM SIGNS. Traffic engineering & control. 42(5). 168–171.3 indexed citations
14.
Rämä, Pirkko & Juha Luoma. (1999). COMPREHENSION OF VMS IN EUROPE.3 indexed citations
15.
Kulmala, Risto, et al.. (1999). Guidelines for the evaluation of ITS projects. 11(1). 13–15.3 indexed citations
16.
Rämä, Pirkko, et al.. (1999). Distraction due to variable speed limits. Traffic engineering & control. 40(9). 428–430.11 indexed citations
17.
Luoma, Juha & Pirkko Rämä. (1998). EFFECTS OF VARIABLE SPEED LIMIT SIGNS ON SPEED BEHAVIOUR AND RECALL OF SIGNS. Traffic engineering & control. 39(4). 234–237.10 indexed citations
Rämä, Pirkko. (1997). SAA- JA KELIETOON PERUSTUVAN LIIKENTEEN OHJAUSJARJESTELMAN VAIKUTUKSET KOTKA-HAMINA-MOOTTORITIELLA [EFFECTS OF THE WEATHER-CONTROLLED TRAFFIC MANAGEMENT SYSTEM ON THE MOTORWAY BETWEEN KOTKA AND HAMINA].1 indexed citations
20.
Kulmala, Risto & Pirkko Rämä. (1995). THE EFFECTS OF WEATHER AND ROAD CONDITION WARNINGS ON DRIVER BEHAVIOR.3 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.