Bogdan Raducanu

2.0k total citations
45 papers, 957 citations indexed

About

Bogdan Raducanu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bogdan Raducanu has authored 45 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bogdan Raducanu's work include Neuroscience and Neural Engineering (14 papers), Advanced Memory and Neural Computing (11 papers) and Neural dynamics and brain function (10 papers). Bogdan Raducanu is often cited by papers focused on Neuroscience and Neural Engineering (14 papers), Advanced Memory and Neural Computing (11 papers) and Neural dynamics and brain function (10 papers). Bogdan Raducanu collaborates with scholars based in Spain, Belgium and Netherlands. Bogdan Raducanu's 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 and has published in prestigious journals such as Sensors, Biosensors and Bioelectronics and Pattern Recognition.

In The Last Decade

Bogdan Raducanu

45 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bogdan Raducanu Spain 14 460 382 329 240 211 45 957
Florian Röhrbein Germany 15 157 0.3× 374 1.0× 399 1.2× 170 0.7× 195 0.9× 45 926
Federico Corradi Netherlands 20 550 1.2× 678 1.8× 1.4k 4.3× 233 1.0× 471 2.2× 56 1.8k
Minhao Yang Switzerland 18 226 0.5× 285 0.7× 984 3.0× 251 1.0× 307 1.5× 41 1.5k
Maria Rangoussi Greece 17 111 0.2× 459 1.2× 178 0.5× 147 0.6× 143 0.7× 78 1.1k
Jason K. Eshraghian United States 20 474 1.0× 527 1.4× 1.2k 3.6× 64 0.3× 377 1.8× 97 1.7k
Wen Zhou China 15 310 0.7× 101 0.3× 597 1.8× 292 1.2× 235 1.1× 49 1.1k
Byung‐Geun Lee South Korea 21 376 0.8× 192 0.5× 1000 3.0× 227 0.9× 176 0.8× 60 1.4k
Saeed Reza Kheradpisheh Iran 12 345 0.8× 1.0k 2.7× 1.4k 4.2× 129 0.5× 673 3.2× 27 1.8k
Mehrdad Fatourechi Canada 15 700 1.5× 1.5k 3.8× 282 0.9× 231 1.0× 177 0.8× 31 1.9k
Andrzej Kasiński Poland 12 88 0.2× 205 0.5× 323 1.0× 212 0.9× 182 0.9× 38 745

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-authorship network of co-authors of Bogdan Raducanu

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Raducanu. A scholar is included among the top collaborators of Bogdan Raducanu 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 Raducanu. Bogdan Raducanu 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
1.
2.
Raducanu, Bogdan, et al.. (2023). A 128-channel neural stimulation and recording ASIC for scalable cortical visual prosthesis. Zenodo (CERN European Organization for Nuclear Research). 301–304. 5 indexed citations
3.
Li, Minghan, Xialei Liu, Joost van de Weijer, & Bogdan Raducanu. (2021). Learning to Rank for Active Learning: A Listwise Approach. 5587–5594. 8 indexed citations
4.
Raducanu, Bogdan, Johanna Klon-Lipok, Katharine A. Shapcott, et al.. (2020). High-density electrophysiological recordings in macaque using a chronically implanted 128-channel passive silicon probe. Journal of Neural Engineering. 17(2). 26036–26036. 9 indexed citations
5.
Putzeys, Jan, Bogdan Raducanu, Bill Karsh, et al.. (2019). Neuropixels Data-Acquisition System: A Scalable Platform for Parallel Recording of 10 000+ Electrophysiological Signals. IEEE Transactions on Biomedical Circuits and Systems. 13(6). 1635–1644. 36 indexed citations
6.
Fiáth, Richárd, Bogdan Raducanu, Silke Musa, et al.. (2018). Fine-scale mapping of cortical laminar activity during sleep slow oscillations using high-density linear silicon probes. Journal of Neuroscience Methods. 316. 58–70. 13 indexed citations
7.
Fiáth, Richárd, Bogdan Raducanu, Silke Musa, et al.. (2018). A silicon-based neural probe with densely-packed low-impedance titanium nitride microelectrodes for ultrahigh-resolution in vivo recordings. Biosensors and Bioelectronics. 106. 86–92. 54 indexed citations
8.
Terven, Juan, et al.. (2018). A Social-Aware Assistant to support individuals with visual impairments during social interaction: A systematic requirements analysis. International Journal of Human-Computer Studies. 122. 50–60. 19 indexed citations
9.
López, Carolina Mora, Jan Putzeys, Bogdan Raducanu, et al.. (2017). A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 $\mu$m SOI CMOS. IEEE Transactions on Biomedical Circuits and Systems. 11(3). 510–522. 148 indexed citations
10.
López, Carolina Mora, Srinjoy Mitra, Jan Putzeys, et al.. (2016). 22.7 A 966-electrode neural probe with 384 configurable channels in 0.13µm SOI CMOS. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 47 indexed citations
11.
Terven, Juan, et al.. (2016). Assessing the Influence of Mirroring on the Perception of Professional Competence Using Wearable Technology. IEEE Transactions on Affective Computing. 9(2). 161–175. 2 indexed citations
12.
López, Carolina Mora, et al.. (2014). Ultra-high-density in-vivo neural probes. PubMed. 47. 2032–2035. 8 indexed citations
13.
Raducanu, Bogdan & Fadi Dornaika. (2011). A supervised non-linear dimensionality reduction approach for manifold learning. Pattern Recognition. 45(6). 2432–2444. 106 indexed citations
14.
Dornaika, Fadi & Bogdan Raducanu. (2010). Single snapshot-based 3D head pose initialization for tracking in a HRI scenario. 6. 32–39. 1 indexed citations
15.
Raducanu, Bogdan, et al.. (2008). Entity clustering using 3D mesh simplification. 460–463. 2 indexed citations
16.
Dornaika, Fadi & Bogdan Raducanu. (2008). Detecting and tracking of 3D face pose for human-robot interaction. 11. 1716–1721. 4 indexed citations
17.
Raducanu, Bogdan, et al.. (2007). Incremental On-Line Topological Map Learning for A Visual Homing Application. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 2049–2054. 6 indexed citations
18.
Rañó, Iñaki, Bogdan Raducanu, & Sriram Subramanian. (2004). Human presence detection and tracking for a concierge robot. IFAC Proceedings Volumes. 37(8). 986–991. 3 indexed citations
19.
Raducanu, Bogdan, Manuel Graña, & Peter Sussner. (2002). Morphological neural networks for vision based self-localization. 2. 2059–2064. 10 indexed citations
20.
Raducanu, Bogdan & Manuel Graña. (2000). Morphological neural networks for robust visual processing in mobile robotics. 140–143 vol.6. 3 indexed citations

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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