Bogdan Popescu

1.4k citations
10 papers · 788 indexed · 1 hit paper · h-index 4
Topics
Image Retrieval and Classification Techniques (4 papers)Neural Networks and Applications (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Journals
Journal of Applied MicrobiologyThe Annals of Applied StatisticsFederated Conference on Computer Science and Information Systems

In The Last Decade

Bogdan Popescu

10 papers receiving 753 citations

Hit Papers

Predictive learning via rule ensembles20082026201420202008200400600

Peers

Bogdan Popescu
Comparison fields: 5 of 148
  • Artificial Intelligence 356
  • Information Systems 72
  • Computer Vision and Pattern Recognition 70
  • Statistics and Probability 63
  • Molecular Biology 46
Replace Dimane Mpoeleng with:
Dimane Mpoeleng Botswana
Jose L Aznarte Spain
María Pérez‐Ortiz United Kingdom
Giovanna Menardi Italy
Silja Renooij Netherlands
Stefan Coors Germany
Javier M. Moguerza Spain
Giuseppe Casalicchio Germany
Beatriz de la Iglesia United Kingdom
Rupesh Gupta India
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Citations per field
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Dimane Mpoeleng · 1×
Citations per year

Countries citing papers authored by Bogdan Popescu

Since Specialization
Citations

This map shows the geographic impact of Bogdan 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 Bogdan Popescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Popescu more than expected).

Fields of papers citing papers by Bogdan Popescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bogdan 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 Bogdan Popescu. The network helps show where Bogdan Popescu may publish in the future.

Co-authorship network of co-authors of Bogdan Popescu

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Popescu. A scholar is included among the top collaborators of Bogdan 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 Bogdan Popescu. Bogdan Popescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Image semantic annotation using fuzzy decision trees
1
2
Unsupervised partitioning of numerical attributes using fuzzy sets
1
3
Quantitative Evaluation of Color Image Segmentation Algorithms.
1
4 2
5 2
6
Predictive learning via rule ensemblesbreakdown →
688
7
Ensemble learning for prediction
8
8 68
9 16
10 1

About Bogdan Popescu

Bogdan Popescu is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Media Technology, having authored 10 papers that have together received 788 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Neural Networks and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (356 citations) and Statistics and Probability (63 citations). Bogdan Popescu has collaborated with scholars based in Romania, United States and France. Frequent co-authors include Jerome H. Friedman, Marius Brezovan, Abhijit Mahalanobis, Xiaoming Huo, Michael Elad, Ana Georgina Flesia, Jihong Chen, David L. Donoho, Dumitru Dan Burdescu and P. Larzabal. Their work appears in journals such as Journal of Applied Microbiology, The Annals of Applied Statistics and Federated Conference on Computer Science and Information Systems.

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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