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.
Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison
20151.2k citationsAnne‐Wil Harzing, Satu AlakangasScientometricsprofile →
Countries citing papers authored by Satu Alakangas
Since Specialization
Citations
This map shows the geographic impact of Satu Alakangas'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 Satu Alakangas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satu Alakangas more than expected).
This network shows the impact of papers produced by Satu Alakangas. 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 Satu Alakangas. The network helps show where Satu Alakangas may publish in the future.
Co-authorship network of co-authors of Satu Alakangas
This figure shows the co-authorship network connecting the top 25 collaborators of Satu Alakangas.
A scholar is included among the top collaborators of Satu Alakangas 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 Satu Alakangas. Satu Alakangas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Satu Alakangas is a scholar working on Statistics, Probability and Uncertainty, Computer Science Applications and Management Information Systems, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (4 papers), Online Learning and Analytics (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (315 citations), Information Systems and Management (106 citations) and Strategy and Management (209 citations). Satu Alakangas has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Anne‐Wil Harzing and David Adams. Their work appears in journals such as Scientometrics.
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.