Countries citing papers authored by Marius Popescu
Since
Specialization
Citations
This map shows the geographic impact of Marius Popescu'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 Marius Popescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Popescu more than expected).
This network shows the impact of papers produced by Marius Popescu. 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 Marius Popescu. The network helps show where Marius Popescu may publish in the future.
Co-authorship network of co-authors of Marius Popescu
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Popescu.
A scholar is included among the top collaborators of Marius Popescu 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 Marius Popescu. Marius Popescu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Popescu, Marius, et al.. (2020). Robustness as Inherent Property of Datapoints.. International Joint Conference on Artificial Intelligence.
7.
Ionescu, Radu Tudor, et al.. (2020). Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. Neural Information Processing Systems. 33. 20120–20129.1 indexed citations
8.
Ionescu, Radu Tudor & Marius Popescu. (2016). UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels. International Conference on Computational Linguistics. 135–144.20 indexed citations
Ionescu, Radu Tudor & Marius Popescu. (2016). Knowledge Transfer between Computer Vision and Text Mining: Similarity-based Learning Approaches. CERN Document Server (European Organization for Nuclear Research).1 indexed citations
Popescu, Marius & Radu Tudor Ionescu. (2013). The Story of the Characters, the DNA and the Native Language. 270–278.19 indexed citations
13.
Popescu, Marius & Cristian Grozea. (2012). Kernel Methods and String Kernels for Authorship Analysis.. Fraunhofer-Publica (Fraunhofer-Gesellschaft).19 indexed citations
14.
Grozea, Cristian & Marius Popescu. (2012). Encoplot - Tuned for High Recall (also Proposing a New Plagiarism Detection Score).. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).3 indexed citations
15.
Popescu, Marius. (2011). Studying Translationese at the Character Level. Recent Advances in Natural Language Processing. 634–639.23 indexed citations
16.
Popescu, Marius & Liviu P. Dinu. (2009). Comparing Statistical Similarity Measures for Stylistic Multivariate Analysis. Recent Advances in Natural Language Processing. 349–354.8 indexed citations
Dinu, Liviu P., et al.. (2008). Authorship Identification of Romanian Texts with Controversial Paternity. Language Resources and Evaluation.13 indexed citations
19.
Popescu, Marius & Liviu P. Dinu. (2008). Rank Distance as a Stylistic Similarity. International Conference on Computational Linguistics. 91–94.8 indexed citations
20.
Popescu, Marius. (2004). Regularized Least-Squares classification for Word Sense Disambiguation. Meeting of the Association for Computational Linguistics. 209–212.8 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.