Marios Savvides

9.8k total citations · 1 hit paper
196 papers, 5.1k citations indexed

About

Marios Savvides is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marios Savvides has authored 196 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Computer Vision and Pattern Recognition, 86 papers in Signal Processing and 26 papers in Artificial Intelligence. Recurrent topics in Marios Savvides's work include Face and Expression Recognition (96 papers), Face recognition and analysis (81 papers) and Biometric Identification and Security (75 papers). Marios Savvides is often cited by papers focused on Face and Expression Recognition (96 papers), Face recognition and analysis (81 papers) and Biometric Identification and Security (75 papers). Marios Savvides collaborates with scholars based in United States, Hong Kong and Canada. Marios Savvides's 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 and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Marios Savvides

194 papers receiving 4.8k citations

Hit Papers

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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.

Bounding Box Regression With Uncertainty for Accurate Object Detection

2019 376 citations Yihui He, Chenchen Zhu et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Measuring the potential risk of re-identification of imaging research participants from open-source automated face recognition software 2025 ·NeuroImage ·(unknown), Marios Savvides, Jeffrey L. Gunter, Matthew L. Senjem, Prashanthi Vemuri, Kejal Kantarci, (unknown), Ronald C. Petersen, Clifford R. Jack, Christopher G. Schwarz	1
2	A face-off of MRI research sequences by their need for de-facing 2023 ·NeuroImage ·Christopher G. Schwarz, Walter K. Kremers, Arvin Arani, Marios Savvides, Robert I. Reid, Jeffrey L. Gunter, Matthew L. Senjem, Petrice M. Cogswell, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack	7
3	Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study 2021 ·arXiv (Cornell University) ·Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang‐Ting Cheng, Marios Savvides	17
4	Deep contextual recurrent residual networks for scene labeling 2018 ·Pattern Recognition ·Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides	17
5	Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection. 2018 ·arXiv (Cornell University) ·Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani	47
6	Max-Margin Invariant Features from Transformed Unlabelled Data 2017 ·Neural Information Processing Systems ·Dipan K. Pal, (unknown), (unknown), Marios Savvides	2
7	Multiple Scale Faster-RCNN Approach to Driver’s Cell-Phone Usage and Hands on Steering Wheel Detection 2016 ·Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides	135
8	Compressed Submanifold Multifactor Analysis 2016 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen	3
9	Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment 2015 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Marios Savvides	6
10	Noise robust speaker identification using Bhattacharyya distance in adapted Gaussian models space 2008 ·European Signal Processing Conference ·Kshitiz Kumar, Qi Wu, Yiming Wang, Marios Savvides	5
11	A Bayesian Approach to Deformed Pattern Matching of Iris Images 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jason Thornton, Marios Savvides, B. V. K. Vijaya Kumar	104
12	Correction to "Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models" 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Sinjini Mitra, Marios Savvides, Anthony Brockwell	1
13	Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Sinjini Mitra, Marios Savvides, Anthony Brockwell	12
14	Locality preserving projections as a new manifold analysis approach for robust face super-resolution 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Sung Won Park, Marios Savvides	3
15	Individual Kernel Tensor-Subspaces for Robust Face Recognition: A Computationally Efficient Tensor Framework Without Requiring Mode Factorization 2007 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·(unknown), Marios Savvides	30
16	Illumination-tolerant face verification of low-bit-rate JPEG2000 wavelet images with advanced correlation filters for handheld devices 2005 ·Applied Optics ·(unknown), Marios Savvides, B. V. K. Vijaya Kumar	17
17	Eigenphases vs eigenfaces 2004 ·Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. ·Marios Savvides, B. V. K. Vijaya Kumar, P.K. Khosla	49
18	Two class minimax distance transform correlation filter 2002 ·Applied Optics ·Marios Savvides, B. V. K. Vijaya Kumar, Pradeep K. Khosla	1
19	Failure of transdermal nitroglycerin to improve exercise capacity in patients with angina pectoris 1985 ·Journal of the American College of Cardiology ·Michael Sullivan, Marios Savvides, (unknown), Erling Birk Madsen, Victor F. Froelicher	64
20	The Reproducibility of Hemodynamic, Electrocardiographic, and Gas Exchange Data during Treadmill Exercise in Patients with Stable Angina Pectoris 1984 ·CHEST Journal ·Michael Sullivan, Marios Savvides, Mark Roberts, Jonathan Myers, Victor F. Froelicher	63

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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