Mohammad Kazemi

945 total citations
28 papers, 580 citations indexed

About

Mohammad Kazemi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Kazemi has authored 28 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Kazemi's work include Video Coding and Compression Technologies (13 papers), Advanced Data Compression Techniques (8 papers) and Advanced Vision and Imaging (5 papers). Mohammad Kazemi is often cited by papers focused on Video Coding and Compression Technologies (13 papers), Advanced Data Compression Techniques (8 papers) and Advanced Vision and Imaging (5 papers). Mohammad Kazemi collaborates with scholars based in Iran, Canada and United States. Mohammad Kazemi's co-authors include Shervin Shirmohammadi, Carlos Óscar S. Sorzano, Pablo Conesa, J.M. de la Rosa-Trevín, Javier Vargas, José Luis Vilas, Laura del Caño, Josué Gómez-Blanco, R. Marabini and Joaquı́n Otón and has published in prestigious journals such as IEEE Transactions on Image Processing, BioMed Research International and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Mohammad Kazemi

26 papers receiving 575 citations

Peers

Mohammad Kazemi

CVPR

SCF

Gabriel Caffarena Spain

David Maluenda Spain

Renmin Han China

Sabine Pruggnaller Germany

Satya P. Mallick United States

Kui Xu China

Julio Kovacs United States

Hstau Y. Liao United States

Florian Hauer Germany

Alp Kucukelbir United States

Gabriel Caffarena Spain

Mohammad Kazemi

118 ×0.5

75 ×0.5

29 ×0.2

CVPR

47 ×0.5

SCF

51 ×0.6

Citations per year, relative to Mohammad Kazemi Mohammad Kazemi (= 1×) peers Gabriel Caffarena

Countries citing papers authored by Mohammad Kazemi

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Kazemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Kazemi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Kazemi. A scholar is included among the top collaborators of Mohammad Kazemi 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 Mohammad Kazemi. Mohammad Kazemi 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

Adibi, Iman, Ahmadreza Montazerolghaem, Mohammad Kazemi, et al.. (2025). Isfahan Artificial Intelligence Event 2023: Lesion Segmentation and Localization in Magnetic Resonance Images of Patients with Multiple Sclerosis. Journal of Medical Signals & Sensors. 15(2). 5–5.

Kazemi, Mohammad, et al.. (2024). Video anomaly detection using transformers and ensemble of convolutional auto-encoders. Computers & Electrical Engineering. 120. 109879–109879. 2 indexed citations

Kazemi, Mohammad, et al.. (2024). Video anomaly detection based on attention and efficient spatio-temporal feature extraction. The Visual Computer. 40(10). 6825–6841. 4 indexed citations

Kazemi, Mohammad, et al.. (2024). CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave Radar. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 8 indexed citations

Moallem, Payman, et al.. (2023). Multi-stage morphological operators for small infrared target detection. Optik. 276. 170597–170597. 2 indexed citations

Kazemi, Mohammad & Ahmadreza Montazerolghaem. (2023). Optimizing the controller placement problem in SDN with uncertain parameters with robust optimization. 300–305. 4 indexed citations

Moallem, Payman, et al.. (2022). Depth Map Super Resolution Using Structure-Preserving Guided Filtering. IEEE Sensors Journal. 22(13). 13144–13152. 3 indexed citations

Moallem, Payman, et al.. (2022). Large scaling factor depth map super-resolution using progressive joint-multilateral filtering. Multimedia Tools and Applications. 81(8). 11461–11478.

Kazemi, Mohammad, et al.. (2022). InARMS: Individual Activity Recognition of Multiple Subjects with FMCW radar. 1–5. 5 indexed citations

10.

Kazemi, Mohammad, M. Ghanbari, & Shervin Shirmohammadi. (2021). A review of temporal video error concealment techniques and their suitability for HEVC and VVC. Multimedia Tools and Applications. 80(8). 12685–12730. 19 indexed citations

11.

Kazemi, Mohammad, Carlos Óscar S. Sorzano, J.M. Carazo, et al.. (2021). ENRICH: A fast method to improve the quality of flexible macromolecular reconstructions. Progress in Biophysics and Molecular Biology. 164. 92–100. 2 indexed citations

12.

Kazemi, Mohammad. (2021). Refinement of the recovered motion vectors for error concealment in HEVC. Multimedia Tools and Applications. 80(18). 27385–27405. 1 indexed citations

13.

Kazemi, Mohammad, M. Ghanbari, & Shervin Shirmohammadi. (2020). The Performance of Quality Metrics in Assessing Error-Concealed Video Quality. IEEE Transactions on Image Processing. 29. 5937–5952. 15 indexed citations

14.

Kazemi, Mohammad, M. Ghanbari, & Shervin Shirmohammadi. (2019). Intra Coding Strategy for Video Error Resiliency: Behavioral Analysis. IEEE Transactions on Multimedia. 22(9). 2193–2206. 6 indexed citations

15.

Sorzano, Carlos Óscar S., Javier Vargas, Joaquı́n Otón, et al.. (2017). A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy. BioMed Research International. 2017. 1–17. 23 indexed citations

16.

Rosa-Trevín, J.M. de la, Adrián Quintana, Laura del Caño, et al.. (2016). Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy. Journal of Structural Biology. 195(1). 93–99. 383 indexed citations

17.

Kazemi, Mohammad, et al.. (2016). A Selective Intra-Coding Approach for Multiple Description Video Coding. BearWorks (Missouri State University). 15. 301–306. 1 indexed citations

18.

Kazemi, Mohammad, Khosrow Hajsadeghi, Shervin Shirmohammadi, & Payman Moallem. (2015). Rate/distortion optimization in multiple description video coding. Signal Processing Image Communication. 36. 95–105. 4 indexed citations

19.

Kazemi, Mohammad, Shervin Shirmohammadi, & Khosrow Hajsadeghi. (2013). A review of multiple description coding techniques for error-resilient video delivery. Multimedia Systems. 20(3). 283–309. 30 indexed citations

20.

Kazemi, Mohammad, Khosrow Hajsadeghi, & Shervin Shirmohammadi. (2011). A high video quality Multiple Description Coding scheme for lossy channels. 18. 1–6. 1 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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