Radu L. Vieriu

691 total citations · 1 hit paper
5 papers, 430 citations indexed

About

Radu L. Vieriu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Radu L. Vieriu has authored 5 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Radu L. Vieriu's work include Face recognition and analysis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Video Surveillance and Tracking Methods (2 papers). Radu L. Vieriu is often cited by papers focused on Face recognition and analysis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Video Surveillance and Tracking Methods (2 papers). Radu L. Vieriu collaborates with scholars based in Italy, India and United States. Radu L. Vieriu's co-authors include Nicu Sebe, Ramanathan Subramanian, Mojtaba Khomami Abadi, Stefan Winkler, Elisa Ricci, Oswald Lanz, Marco De Nadai, César A. Hidalgo, Gloria Zen and Nikhil Naik and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Affective Computing and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Radu L. Vieriu

4 papers receiving 425 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors

2016 354 citations Ramanathan Subramanian, Mojtaba Khomami Abadi et al. IEEE Transactions on Affective Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radu L. Vieriu Italy	4	279	211	84	79	78	5	430
Jainendra Shukla India	8	153 0.5×	175 0.8×	54 0.6×	45 0.6×	59 0.8×	32	353
S. Jerritta India	11	259 0.9×	246 1.2×	111 1.3×	63 0.8×	40 0.5×	20	428
Hamed Monkaresi Australia	7	139 0.5×	141 0.7×	134 1.6×	67 0.8×	78 1.0×	12	446
Ruoyu Du China	8	124 0.4×	223 1.1×	43 0.5×	45 0.6×	38 0.5×	28	328
Jorn Bakker Netherlands	7	121 0.4×	57 0.3×	80 1.0×	34 0.4×	63 0.8×	8	334
Gabriela Moise Romania	6	129 0.5×	128 0.6×	49 0.6×	23 0.3×	35 0.4×	21	268
Morteza Zangeneh Soroush Iran	10	207 0.7×	275 1.3×	72 0.9×	19 0.2×	34 0.4×	23	350
Jonathan Dowdall United States	8	75 0.3×	66 0.3×	72 0.9×	81 1.0×	41 0.5×	10	375
Agata Kołakowska Poland	9	160 0.6×	93 0.4×	12 0.1×	41 0.5×	70 0.9×	23	328
Joep J. M. Kierkels Switzerland	6	369 1.3×	299 1.4×	56 0.7×	142 1.8×	69 0.9×	7	530

Countries citing papers authored by Radu L. Vieriu

Since Specialization

Citations

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

Fields of papers citing papers by Radu L. Vieriu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu L. Vieriu. 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 Radu L. Vieriu. The network helps show where Radu L. Vieriu may publish in the future.

Co-authorship network of co-authors of Radu L. Vieriu

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Nadai, Marco De, Radu L. Vieriu, Gloria Zen, et al.. (2016). Are Safer Looking Neighborhoods More Lively?. Institutional Research Information System (Università degli Studi di Trento). 1127–1135. 37 indexed citations

2.

Subramanian, Ramanathan, et al.. (2016). ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors. IEEE Transactions on Affective Computing. 9(2). 147–160. 354 indexed citations breakdown →

3.

Subramanian, Ramanathan, et al.. (2013). Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images. International Journal of Computer Vision. 109(1-2). 146–167. 35 indexed citations

4.

Vieriu, Radu L., et al.. (2012). Boosting-based transfer learning for multi-view head-pose classification from surveillance videos. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 649–653. 4 indexed citations

5.

Vieriu, Radu L., et al.. (2012). An improved algorithm for dynamic face detection. 255–258.

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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