Marius Popescu

50 papers receiving 979 citations

Peers

Marius Popescu
Comparison fields: 5 of 108
  • Artificial Intelligence 643
  • Computer Vision and Pattern Recognition 365
  • Experimental and Cognitive Psychology 180
  • Computer Networks and Communications 172
  • Biomedical Engineering 85
Replace Sebastian Tschiatschek with:
Sebastian Tschiatschek Austria
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Marius Popescu relative to Sebastian Tschiatschek Austria Sebastian Tschiatschek's profile →
Citations per field
00.5×10×20×28.3×
Sebastian Tschiatschek · 1×
Citations per year

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).

Fields of papers citing papers by Marius Popescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 17
5 130
6
Robustness as Inherent Property of Datapoints.
0
7
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
1
8
UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels
20
9 30
10
Knowledge Transfer between Computer Vision and Text Mining: Similarity-based Learning Approaches
1
11 2
12
The Story of the Characters, the DNA and the Native Language
19
13
Kernel Methods and String Kernels for Authorship Analysis.
19
14
Encoplot - Tuned for High Recall (also Proposing a New Plagiarism Detection Score).
3
15
Studying Translationese at the Character Level
23
16
Comparing Statistical Similarity Measures for Stylistic Multivariate Analysis
8
17 6
18
Authorship Identification of Romanian Texts with Controversial Paternity
13
19
Rank Distance as a Stylistic Similarity
8
20
Regularized Least-Squares classification for Word Sense Disambiguation
8

About Marius Popescu

Marius Popescu is a scholar working on Artificial Intelligence, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Authorship Attribution and Profiling (16 papers) and Topic Modeling (14 papers). The work is most often cited by research in Artificial Intelligence (643 citations), Computer Vision and Pattern Recognition (365 citations) and Experimental and Cognitive Psychology (180 citations). Marius Popescu has collaborated with scholars based in Romania, United States and Germany. Frequent co-authors include Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Cristian Grozea, Bogdan Alexe, Fahad Shahbaz Khan, Mubarak Shah, Aoife Cahill, Liviu P. Dinu, Christian Gehl and Emílio Rosales. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemosphere.

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.

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