Mehdi Boroumand

1.5k total citations · 1 hit paper
16 papers, 958 citations indexed

About

Mehdi Boroumand is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Mehdi Boroumand has authored 16 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Biomedical Engineering. Recurrent topics in Mehdi Boroumand's work include Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (13 papers) and Chaos-based Image/Signal Encryption (5 papers). Mehdi Boroumand is often cited by papers focused on Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (13 papers) and Chaos-based Image/Signal Encryption (5 papers). Mehdi Boroumand collaborates with scholars based in United States, Iran and Australia. Mehdi Boroumand's co-authors include Jessica Fridrich, Mo Chen, Tomáš Denemark, Vahid Sedighi, Afshin Ebrahimi, Rémi Cogranne, Theodore W. Randolph, Yibo Wang, Cavan Kalonia and Yibo Wang and has published in prestigious journals such as Journal of Pharmaceutical Sciences, IEEE Transactions on Information Forensics and Security and mAbs.

In The Last Decade

Mehdi Boroumand

15 papers receiving 925 citations

Hit 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.

Deep Residual Network for Steganalysis of Digital Images

2018 600 citations Mehdi Boroumand, Mo Chen et al. IEEE Transactions on Information Forensics and Security profile →

Peers

Mehdi Boroumand

CVPR

AI

MT

SP

IS

Zhenxing Qian China

Pedro Comesaña Spain

Anjie Peng China

Vijay H. Mankar India

Güzin Ulutaş Türkiye

Paweł Korus Poland

Yuanjing Luo China

Dongdong Fu United States

François Cayre France

Zhenxing Qian China

Mehdi Boroumand

521 ×0.6

CVPR

191 ×1.2

AI

27 ×0.5

MT

57 ×1.9

SP

79 ×3.0

IS

Citations per year, relative to Mehdi Boroumand Mehdi Boroumand (= 1×) peers Zhenxing Qian

Countries citing papers authored by Mehdi Boroumand

Since Specialization

Citations

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

Fields of papers citing papers by Mehdi Boroumand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Boroumand

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

All Works

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16 of 16 papers shown

1.

Wang, Yibo, et al.. (2025). Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis. mAbs. 17(1). 2501629–2501629.

2.

Chen, Yu‐Chieh, et al.. (2024). Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle images. Journal of Pharmaceutical Sciences. 113(12). 3470–3478. 1 indexed citations

3.

Boroumand, Mehdi & Jessica Fridrich. (2020). Synchronizing Embedding Changes in Side-Informed Steganography. Electronic Imaging. 32(4). 290–1. 8 indexed citations

4.

Chen, Mo, Mehdi Boroumand, & Jessica Fridrich. (2019). Reference Channels for Steganalysis of Images with Convolutional Neural Networks. 188–197. 3 indexed citations

5.

Boroumand, Mehdi, Jessica Fridrich, & Rémi Cogranne. (2019). Are we there yet?. Electronic Imaging. 31(5). 537–1. 2 indexed citations

6.

Boroumand, Mehdi, Mo Chen, & Jessica Fridrich. (2018). Deep Residual Network for Steganalysis of Digital Images. IEEE Transactions on Information Forensics and Security. 14(5). 1181–1193. 600 indexed citations breakdown →

7.

Chen, Mo, Mehdi Boroumand, & Jessica Fridrich. (2018). Deep Learning Regressors for Quantitative Steganalysis. Electronic Imaging. 30(7). 160–1. 21 indexed citations

8.

Boroumand, Mehdi & Jessica Fridrich. (2018). Deep Learning for Detecting Processing History of Images. Electronic Imaging. 30(7). 213–1. 36 indexed citations

9.

Boroumand, Mehdi & Jessica Fridrich. (2017). Applications of Explicit Non-Linear Feature Maps in Steganalysis. IEEE Transactions on Information Forensics and Security. 13(4). 823–833. 19 indexed citations

10.

Chen, Mo, Vahid Sedighi, Mehdi Boroumand, & Jessica Fridrich. (2017). JPEG-Phase-Aware Convolutional Neural Network for Steganalysis of JPEG Images. 75–84. 113 indexed citations

11.

Boroumand, Mehdi & Jessica Fridrich. (2017). Scalable Processing History Detector for JPEG Images. Electronic Imaging. 29(7). 128–137. 11 indexed citations

12.

Boroumand, Mehdi & Jessica Fridrich. (2017). Nonlinear Feature Normalization in Steganalysis. 45–54. 6 indexed citations

13.

Boroumand, Mehdi & Jessica Fridrich. (2016). Boosting Steganalysis with Explicit Feature Maps. 149–157. 7 indexed citations

14.

Denemark, Tomáš, Mehdi Boroumand, & Jessica Fridrich. (2016). Steganalysis Features for Content-Adaptive JPEG Steganography. IEEE Transactions on Information Forensics and Security. 11(8). 1736–1746. 126 indexed citations

15.

Boroumand, Mehdi, et al.. (2009). Passive range estimation by one camera using EKF and image processing. 209–214. 1 indexed citations

16.

Boroumand, Mehdi & Afshin Ebrahimi. (2009). An improved quantization based watermarking scheme using local entropy in wavelet domain. 43. 268–272. 4 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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