Bogdan Raducanu

2.0k citations
45 papers · 957 · h-index 14

Impact in

Papers in

Bogdan Raducanu

45 papers receiving 930 citations

Peers

Bogdan Raducanu
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 460
  • Cognitive Neuroscience 382
  • Computer Vision and Pattern Recognition 240
  • Human-Computer Interaction 37
  • Artificial Intelligence 211
Replace Sachin S. Talathi with:
Sachin S. Talathi United States
Federico Corradi Netherlands
G. Jiménez Spain
Florian Röhrbein Germany
Minhao Yang Switzerland
Raphael Berner Switzerland
Wen Zhou China
Christian Brändli Switzerland
Yoonsuck Choe United States
Yuhuang Hu Switzerland
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Citations per field
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Sachin S. Talathi · 1×
Citations per year

Countries citing papers authored by Bogdan Raducanu

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Raducanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bogdan Raducanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bogdan Raducanu Line = papers co-authored together Bogdan Raducanu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017148
2 2017131
3 2011106
4 202067
5 201854
6 201647
7 201640
8 200339
9 201338
10 201936
11 201926
12 201225
13 201819
14 200914
15 201813
16 200913
17 202213
18 201913
19 200210
20 20209

About Bogdan Raducanu

Bogdan Raducanu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 45 papers that have together received 957 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (10 papers), Face and Expression Recognition (8 papers), Video Surveillance and Tracking Methods (6 papers), Face recognition and analysis (6 papers), Neural Networks and Applications (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (460 citations), Cognitive Neuroscience (382 citations), Computer Vision and Pattern Recognition (240 citations), Human-Computer Interaction (37 citations) and Artificial Intelligence (211 citations). Bogdan Raducanu has collaborated with scholars based in Spain, Belgium and Netherlands. Frequent co-authors include Fadi Dornaika, Carolina Mora López, Silke Musa, Alexandru Andrei, Chris Van Hoof, Jan Putzeys, Srinjoy Mitra, Nick Van Helleputte, Marco Ballini and Refet Fırat Yazıcıoğlu. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, Engineering Applications of Artificial Intelligence, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Solid-State Circuits Letters and Computer Communications.

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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