Marios Savvides

9.8k citations
196 papers · 5.1k indexed · 1 hit paper · h-index 39

Marios Savvides

194 papers receiving 4.8k citations

Hit Papers

Bounding Box Regression With Uncertainty for Accurate Obj...20192026202120232019100200300

Peers

Marios Savvides
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 3.7k
  • Signal Processing 1.8k
  • Artificial Intelligence 812
  • Information Systems 558
  • Media Technology 363
Replace Richard P. Wildes with:
Richard P. Wildes Canada
Di Huang China
Tieniu Tan China
Sridha Sridharan Australia
Abdenour Hadid Finland
Guangming Lu China
Wei‐Yun Yau Singapore
Sérgio Escalera Spain
Ling Guan Canada
J. Ross Beveridge United States
Marios Savvides relative to Richard P. Wildes Canada Richard P. Wildes's profile →
Citations per field
00.5×3.3×
Richard P. Wildes · 1×
Citations per year

Countries citing papers authored by Marios Savvides

Since Specialization
Citations

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

Fields of papers citing papers by Marios Savvides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marios Savvides

This figure shows the co-authorship network connecting the top 25 collaborators of Marios Savvides. A scholar is included among the top collaborators of Marios Savvides 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 Marios Savvides. Marios Savvides 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 1
2 7
3 17
4 17
5
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection.
47
6
Max-Margin Invariant Features from Transformed Unlabelled Data
2
7 135
8 3
9 6
10
Noise robust speaker identification using Bhattacharyya distance in adapted Gaussian models space
5
11 104
12
Correction to "Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models"
1
13 12
14 3
15 30
16 17
17 49
18 1
19 64
20 63

About Marios Savvides

Marios Savvides is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 196 papers that have together received 5.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (96 papers), Face recognition and analysis (81 papers) and Biometric Identification and Security (75 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.7k citations), Signal Processing (1.8k citations) and Media Technology (363 citations). Marios Savvides has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include B. V. K. Vijaya Kumar, Felix Juefei-Xu, Khoa Luu, Chenchen Zhu, Ngan Le, Dipan K. Pal, Jingu Heo, Yihui He, Yutong Zheng and Xiangyu Zhang. Their work appears in journals such as Journal of the American College of Cardiology, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

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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