Marius Leordeanu

5.8k citations
56 papers · 3.5k indexed · 3 hit papers · h-index 23
Topics
Advanced Image and Video Retrieval Techniques (12 papers)Multimodal Machine Learning Applications (9 papers)Robotics and Sensor-Based Localization (9 papers)

In The Last Decade

Marius Leordeanu

52 papers receiving 3.3k citations

Hit Papers

Online selection of discriminative tracking features2005202620122019200520052013250500750

Peers

Marius Leordeanu
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 2.8k
  • Aerospace Engineering 794
  • Artificial Intelligence 725
  • Signal Processing 315
  • Geology 257
Replace Andrew Calway with:
Andrew Calway United Kingdom
Chu‐Song Chen Taiwan
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Oncel Tuzel United States
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Liang Zhang China
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Citations per field
00.5×1.5×
Andrew Calway · 1×
Citations per year

Countries citing papers authored by Marius Leordeanu

Since Specialization
Citations

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

Fields of papers citing papers by Marius Leordeanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Leordeanu

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Leordeanu. A scholar is included among the top collaborators of Marius Leordeanu 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 Leordeanu. Marius Leordeanu 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 3
2 1
3 0
4 1
5 0
6 2
7 8
8 1
9
Recurrent Space-time Graph Neural Networks
4
10
Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks.
7
11 1
12
Mining for meaning: from vision to language through multiple networks consensus.
1
13 0
14
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images.
6
15
Efficient Hypergraph Clustering
16
16
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
190
17 26
18
Online selection of discriminative tracking featuresbreakdown →
871
19 3
20 40

About Marius Leordeanu

Marius Leordeanu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Space and Planetary Science, having authored 56 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (9 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Geology (257 citations) and Human-Computer Interaction (211 citations). Marius Leordeanu has collaborated with scholars based in Romania, United States and Czechia. Frequent co-authors include Martial Hebert, Robert T. Collins, Yanxi Liu, Rahul Sukthankar, Cristian Sminchisescu, Ioannis Stamos, Mihai Zanfir, Gabriela Moise, Florica Moldoveanu and Alin Moldoveanu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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