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.
Using Machine Learning to Detect Cyberbullying
2011316 citationsK. Michael Reynolds, April Kontostathis et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by April Kontostathis
Since
Specialization
Citations
This map shows the geographic impact of April Kontostathis'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 April Kontostathis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites April Kontostathis more than expected).
Fields of papers citing papers by April Kontostathis
This network shows the impact of papers produced by April Kontostathis. 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 April Kontostathis. The network helps show where April Kontostathis may publish in the future.
Co-authorship network of co-authors of April Kontostathis
This figure shows the co-authorship network connecting the top 25 collaborators of April Kontostathis.
A scholar is included among the top collaborators of April Kontostathis 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 April Kontostathis. April Kontostathis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kontostathis, April, et al.. (2012). Identifying Predators Using ChatCoder 2.0..9 indexed citations
5.
Kontostathis, April, et al.. (2011). Latent Semantic Indexing with selective Query Expansion.. Text REtrieval Conference.1 indexed citations
6.
Reynolds, K. Michael, April Kontostathis, & Lindsey Edwards. (2011). Using Machine Learning to Detect Cyberbullying. 241–244.316 indexed citations breakdown →
Mill, William B. & April Kontostathis. (2008). Analysis of the values in the LSI Term-Term Matrix.1 indexed citations
11.
Kulp, Scott & April Kontostathis. (2007). On Retrieving Legal Files: Shortening Documents and Weeding Out Garbage.. Text REtrieval Conference.3 indexed citations
Kontostathis, April & William M. Pottenger. (2002). A Mathematical View of Latent Semantic Indexing: Tracing Term Co-Occurrences.10 indexed citations
20.
Kontostathis, April & William M. Pottenger. (2002). Detecting Patterns in the LSI Term-Term Matrix.21 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.