Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Stefan Axelsson
Since
Specialization
Citations
This map shows the geographic impact of Stefan Axelsson'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 Stefan Axelsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Axelsson more than expected).
This network shows the impact of papers produced by Stefan Axelsson. 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 Stefan Axelsson. The network helps show where Stefan Axelsson may publish in the future.
Co-authorship network of co-authors of Stefan Axelsson
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Axelsson.
A scholar is included among the top collaborators of Stefan Axelsson 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 Stefan Axelsson. Stefan Axelsson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Axelsson, Stefan, et al.. (2016). Paysim: a financial mobile money simulator for fraud detection. Annual Simulation Symposium. 249–255.54 indexed citations
8.
Axelsson, Stefan, et al.. (2013). RETSIM: A shoe store agent-based simulation for fraud detection. KTH Publication Database DiVA (KTH Royal Institute of Technology). 25–34.6 indexed citations
9.
Axelsson, Stefan, et al.. (2012). Multi Agent Based Simulation (MABS) of Financial Transactions for Anti Money Laundering (AML). KTH Publication Database DiVA (KTH Royal Institute of Technology).17 indexed citations
10.
Axelsson, Stefan, et al.. (2009). Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 412–417.4 indexed citations
11.
Axelsson, Stefan, et al.. (2006). Proceedings of the 3rd international workshop on Visualization for computer security.5 indexed citations
Axelsson, Stefan. (2004). Visualising the Inner Workings of a Self Learning Classifier: Improving the Usability of Intrusion Detection Systems.1 indexed citations
15.
Axelsson, Stefan. (2004). Distribuerat ingenjörsarbete : en möjlighet för Ferruform?. KTH Publication Database DiVA (KTH Royal Institute of Technology).3 indexed citations
Axelsson, Stefan. (2000). A Preliminary Attempt to Apply Detection and Estimation Theory to Intrusion Detection.13 indexed citations
18.
Axelsson, Stefan. (1999). On a Difficulty of Intrusion Detection..11 indexed citations
19.
Lindskog, Stefan, et al.. (1998). A Comparison of the Security of Windows NT and UNIX.5 indexed citations
20.
Stahre, Johan, et al.. (1997). Joint Optimization of People and Technology-An Example from the Car Industry. International Conference on Human-Computer Interaction. 265–268.1 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.