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.
Review of recent systems for automatic assessment of programming assignments
2010366 citationsPetri Ihantola, Tuukka Ahoniemi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ville Karavirta
Since
Specialization
Citations
This map shows the geographic impact of Ville Karavirta'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 Ville Karavirta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ville Karavirta more than expected).
This network shows the impact of papers produced by Ville Karavirta. 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 Ville Karavirta. The network helps show where Ville Karavirta may publish in the future.
Co-authorship network of co-authors of Ville Karavirta
This figure shows the co-authorship network connecting the top 25 collaborators of Ville Karavirta.
A scholar is included among the top collaborators of Ville Karavirta 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 Ville Karavirta. Ville Karavirta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karavirta, Ville. (2013). LOCATION-AWARE MOBILE LEARNING OF SPATIAL ALGORITHMS. International Association for Development of the Information Society.2 indexed citations
Sorva, Juha, Ville Karavirta, & Ari Korhonen. (2007). Roles of Variables in Teaching. Informing Science and IT Education Conference.2 indexed citations
Karavirta, Ville, et al.. (2004). MatrixPro - A Tool for On-The-Fly Demonstration of Data Structures and Algorithms.35 indexed citations
19.
Korhonen, Ari, et al.. (2004). Matrix A Framework for Interactive Software Visualization.9 indexed citations
20.
Karavirta, Ville, et al.. (2002). Effortless Creation of Algorithm Visualization. 52–56.7 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.