Hoda Mohammadzade

1.6k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Hoda Mohammadzade is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Hoda Mohammadzade has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 12 papers in Biomedical Engineering and 10 papers in Signal Processing. Recurrent topics in Hoda Mohammadzade's work include Human Pose and Action Recognition (10 papers), Face recognition and analysis (8 papers) and Face and Expression Recognition (7 papers). Hoda Mohammadzade is often cited by papers focused on Human Pose and Action Recognition (10 papers), Face recognition and analysis (8 papers) and Face and Expression Recognition (7 papers). Hoda Mohammadzade collaborates with scholars based in Iran, Canada and France. Hoda Mohammadzade's co-authors include Mahdi Shabany, Mohammad Mahdi Kiani, Mohammad Kachuee, Dimitrios Hatzinakos, Mohammad Mahdi Ahmadi, Navid Hasanzadeh, Benyamin Ghojogh, Forough Habibollahi, Moein Khajehnejad and Foteini Agrafioti and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and BMC Bioinformatics.

In The Last Decade

Hoda Mohammadzade

36 papers receiving 1.0k citations

Hit Papers

Cuffless Blood Pressure Estimation Algorithms for Continu... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hoda Mohammadzade Iran 10 751 637 376 238 79 38 1.1k
Madhuri Panwar India 10 584 0.8× 333 0.5× 146 0.4× 140 0.6× 27 0.3× 12 811
Fen Miao China 19 872 1.2× 895 1.4× 330 0.9× 73 0.3× 42 0.5× 38 1.4k
L. N. Sharma India 16 474 0.6× 704 1.1× 88 0.2× 113 0.5× 136 1.7× 64 1.0k
Jingang Shi China 19 489 0.7× 324 0.5× 81 0.2× 588 2.5× 176 2.2× 59 1.2k
Syed Khairul Bashar United States 19 370 0.5× 604 0.9× 67 0.2× 71 0.3× 177 2.2× 48 1.1k
E. Hari Krishna India 14 639 0.9× 523 0.8× 324 0.9× 30 0.1× 43 0.5× 47 861
Yuan‐Hsiang Lin Taiwan 12 318 0.4× 199 0.3× 98 0.3× 133 0.6× 19 0.2× 39 600
Xavier Aubert Germany 21 393 0.5× 341 0.5× 207 0.6× 125 0.5× 381 4.8× 53 1.3k
Qingxue Zhang United States 12 332 0.4× 394 0.6× 43 0.1× 62 0.3× 83 1.1× 48 642
Shekh Md Mahmudul Islam United States 15 457 0.6× 164 0.3× 166 0.4× 32 0.1× 55 0.7× 52 633

Countries citing papers authored by Hoda Mohammadzade

Since Specialization
Citations

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

Fields of papers citing papers by Hoda Mohammadzade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoda Mohammadzade

This figure shows the co-authorship network connecting the top 25 collaborators of Hoda Mohammadzade. A scholar is included among the top collaborators of Hoda Mohammadzade 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 Hoda Mohammadzade. Hoda Mohammadzade 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.
Mohammadzade, Hoda, et al.. (2024). EEG classification with limited data: A deep clustering approach. Pattern Recognition. 157. 110934–110934. 3 indexed citations
2.
Mohammadzade, Hoda, et al.. (2024). Automatic Lip Reading of Persian Words by a Robotic System Using Deep Learning Algorithms. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 48(4). 1519–1538. 1 indexed citations
3.
Mohammadzade, Hoda, et al.. (2024). A novel approach toward optimal workflow selection for DNA methylation biomarker discovery. BMC Bioinformatics. 25(1). 2 indexed citations
4.
Ahmadi, Mohammad Mahdi, et al.. (2023). Blood Pressure Estimation Using a PPG Signal Recorded From the Fingertip of a Hand Moving in the Sagittal Plane. IEEE Sensors Journal. 23(15). 17751–17760. 2 indexed citations
5.
Ahmadi, Amirhossein, Hoda Mohammadzade, Marzieh Ebrahimi, et al.. (2021). CRISPRi-mediated knock-down of PRDM1/BLIMP1 programs central memory differentiation in ex vivo-expanded human T cells. Bioimpacts. 12(4). 337–347. 2 indexed citations
6.
Mohammadzade, Hoda, et al.. (2021). ECG Classification Using DTW - Based Learnable Kernels in Deep Neural Networks. 90–94. 1 indexed citations
7.
Mohammadzade, Hoda, et al.. (2021). Dynamic Time Warping-Based Features With Class-Specific Joint Importance Maps for Action Recognition Using Kinect Depth Sensor. IEEE Sensors Journal. 21(7). 9300–9313. 22 indexed citations
8.
Mohammadzade, Hoda, et al.. (2020). A Dynamic Time Warping Based Kernel for 3D Action Recognition Using Kinect Depth Sensor. 21. 1–5. 2 indexed citations
9.
Hasanzadeh, Navid, Mohammad Mahdi Ahmadi, & Hoda Mohammadzade. (2019). Blood Pressure Estimation Using Photoplethysmogram Signal and Its Morphological Features. IEEE Sensors Journal. 20(8). 4300–4310. 94 indexed citations
10.
Mohammadzade, Hoda, et al.. (2018). Retraction Notice: Discovering Informative Regions in Iris Images to Predict Diabetes. 1–1. 1 indexed citations
11.
Mohammadzade, Hoda, et al.. (2018). Pixel-level alignment of facial images for high accuracy recognition using ensemble of patches. Journal of the Optical Society of America A. 35(7). 1149–1149. 4 indexed citations
13.
Mohammadzade, Hoda, et al.. (2018). Recognizing Involuntary Actions from 3D Skeleton Data Using Body States. Scientia Iranica. 0(0). 0–0. 8 indexed citations
14.
Ghojogh, Benyamin, et al.. (2017). Fisherposes for Human Action Recognition Using Kinect Sensor Data. IEEE Sensors Journal. 18(4). 1612–1627. 30 indexed citations
15.
Kachuee, Mohammad, Mohammad Mahdi Kiani, Hoda Mohammadzade, & Mahdi Shabany. (2016). Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring. IEEE Transactions on Biomedical Engineering. 64(4). 859–869. 445 indexed citations breakdown →
16.
Nezhad, Mohammad Saber Fallah, et al.. (2014). Hotel Location Problem Using Erlang Queuing Model under Uncertainty (RESEARCH NOTE). 27(12). 1879–1887. 1 indexed citations
17.
Mohammadzade, Hoda & Dimitrios Hatzinakos. (2013). Iterative Closest Normal Point for 3D Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(2). 381–397. 94 indexed citations
18.
Mohammadzade, Hoda & Dimitrios Hatzinakos. (2012). Projection into Expression Subspaces for Face Recognition from Single Sample per Person. IEEE Transactions on Affective Computing. 4(1). 69–82. 44 indexed citations
19.
Agrafioti, Foteini, et al.. (2011). A 2D bivariate EMD algorithm for image fusion. 1. 1–6. 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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