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.
A systematic analysis of performance measures for classification tasks
20094.1k citationsMarina Sokolova, Guy LapalmeInformation Processing & Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Marina Sokolova
Since
Specialization
Citations
This map shows the geographic impact of Marina Sokolova'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 Marina Sokolova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Sokolova more than expected).
This network shows the impact of papers produced by Marina Sokolova. 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 Marina Sokolova. The network helps show where Marina Sokolova may publish in the future.
Co-authorship network of co-authors of Marina Sokolova
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Sokolova.
A scholar is included among the top collaborators of Marina Sokolova 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 Marina Sokolova. Marina Sokolova is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sokolova, Marina, et al.. (2015). Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums. Recent Advances in Natural Language Processing. 604–610.4 indexed citations
4.
Sokolova, Marina, et al.. (2014). The Attractiveness of Street Children Playgrounds. An Empirical Study. Psychological Science and Education. 19(4). 54–63.1 indexed citations
5.
Sokolova, Marina, et al.. (2013). What Sentiments Can Be Found in Medical Forums. Recent Advances in Natural Language Processing. 633–639.15 indexed citations
6.
Schramm, David, et al.. (2013). Can I Hear You? Sentiment Analysis on Medical Forums. International Joint Conference on Natural Language Processing. 667–673.28 indexed citations
7.
Sokolova, Marina, et al.. (2013). Authorship Attribution in Health Forums. Recent Advances in Natural Language Processing. 74–82.3 indexed citations
Sokolova, Marina, et al.. (2013). Opinion Learning from Medical Forums. Recent Advances in Natural Language Processing. 18–24.3 indexed citations
10.
Sokolova, Marina, et al.. (2013). How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter. Recent Advances in Natural Language Processing. 626–632.9 indexed citations
11.
Sokolova, Marina & David Schramm. (2011). Building a Patient-based Ontology for User-written Web Messages. Recent Advances in Natural Language Processing. 758–763.3 indexed citations
12.
Sokolova, Marina, et al.. (2011). Sentiments and Opinions in Health-related Web messages. Recent Advances in Natural Language Processing. 132–139.18 indexed citations
Sokolova, Marina, et al.. (2009). Classification of Emotion Words in Russian and Romanian Languages. Recent Advances in Natural Language Processing. 416–420.9 indexed citations
16.
Sokolova, Marina & Guy Lapalme. (2009). A systematic analysis of performance measures for classification tasks. Information Processing & Management. 45(4). 427–437.4078 indexed citations breakdown →
17.
Sokolova, Marina, Vivi Năstase, & Stan Śzpakowicz. (2008). The Telling Tail: Signals of Success in Electronic Negotiation Texts. International Joint Conference on Natural Language Processing. 257–264.2 indexed citations
18.
Marchand, Mario & Marina Sokolova. (2005). Learning with Decision Lists of Data-Dependent Features. Journal of Machine Learning Research. 6(15). 427–451.25 indexed citations
19.
Marchand, Mario, Mohak Shah, John Shawe‐Taylor, & Marina Sokolova. (2003). The set covering machine with data-dependent half-spaces. ePrints Soton (University of Southampton). 520–527.5 indexed citations
20.
Sokolova, Marina, Mario Marchand, Nathalie Japkowicz, & John Shawe‐Taylor. (2002). The Decision List Machine. ePrints Soton (University of Southampton). 15. 945–952.14 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.