This map shows the geographic impact of Jaime Campos'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 Jaime Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Campos more than expected).
This network shows the impact of papers produced by Jaime Campos. 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 Jaime Campos. The network helps show where Jaime Campos may publish in the future.
Co-authorship network of co-authors of Jaime Campos
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Campos.
A scholar is included among the top collaborators of Jaime Campos 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 Jaime Campos. Jaime Campos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Campos, Jaime, et al.. (2021). A project management methodology to achieve successful digitalization in maintenance organizations. 24(1). 3–9.1 indexed citations
4.
Campos, Jaime, et al.. (2020). Mathematical Modeling of Rheological Behavior of Anisotropic Biomaterials with Taking Into Account Effects of Memory and Self-organization.. 377–386.2 indexed citations
5.
Campos, Jaime, et al.. (2020). Computer Monitoring of Physical and Chemical Parameters of the Environment Using Computer Vision Systems: Problems and Prospects.. 437–442.1 indexed citations
Kans, Mirka, Jaime Campos, & Lars Håkansson. (2020). Current practices and new approaches within condition monitoring of gravel roads. 23(4). 3–8.1 indexed citations
8.
Yakovyna, Vitaliy, et al.. (2020). Recommendation rules mining for reducing the spread of COVID-19 cases. 2753. 219–229.4 indexed citations
Jantunen, Erkki, Jaime Campos, Pankaj Sharma, & David Baglee. (2017). Digitalisation of maintenance. 343–347.6 indexed citations
14.
Baglee, David, et al.. (2017). How can SMEs adopt a new method to advanced maintenance strategies? A Case study approach. Sunderland Repository (University of Sunderland).4 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.