Andrei Stoian

990 citations
16 papers · 482 indexed · 1 hit paper · h-index 7
Topics
Video Surveillance and Tracking Methods (6 papers)Human Pose and Action Recognition (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Partner nations
FranceRomaniaNetherlands

In The Last Decade

Andrei Stoian

16 papers receiving 474 citations

Hit Papers

Continual Learning for Robotics: Definition, Framework, L...2019202620212023201950100150200250

Peers

Andrei Stoian
Comparison fields: 5 of 85
  • Artificial Intelligence 254
  • Computer Vision and Pattern Recognition 172
  • Ecology 51
  • Media Technology 51
  • Control and Systems Engineering 40
Replace Zhuang Liu with:
Zhuang Liu China
Stéphane Lathuilière France
Amal H. Alharbi Saudi Arabia
Jianwen Wang China
Aiman Al-Sabaawi Australia
Tianlong Ma China
Pooja Asopa India
Hüseyin Kusetoğulları Sweden
Muhammad Attique Khan Saudi Arabia
Huan Ling China
Andrei Stoian relative to Zhuang Liu China Zhuang Liu's profile →
Citations per field
00.5×20×40×60×77×
Zhuang Liu · 1×
Citations per year

Countries citing papers authored by Andrei Stoian

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Stoian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Stoian

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 4
3
Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challengesbreakdown →
288
4
Continual Learning for Robotics
10
5 96
6 16
7 29
8 5
9 1
10 2
11 1
12 2
13 12
14 3
15 10
16 1

About Andrei Stoian

Andrei Stoian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hepatology, having authored 16 papers that have together received 482 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (172 citations), Artificial Intelligence (254 citations) and Media Technology (51 citations). Andrei Stoian has collaborated with scholars based in France, Romania and Netherlands. Frequent co-authors include Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat, Vincenzo Lomonaco, Davide Maltoni, Jordi Inglada, Vincent Poulain, Stefan Duffner, Yiqiang Chen and Atilla Baskurt. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and Remote Sensing.

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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