Hossein Rahmani

4.4k total citations · 2 hit papers
97 papers, 2.5k citations indexed

About

Hossein Rahmani is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Hossein Rahmani has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 22 papers in Plant Science and 21 papers in Artificial Intelligence. Recurrent topics in Hossein Rahmani's work include Human Pose and Action Recognition (22 papers), Anomaly Detection Techniques and Applications (12 papers) and Gait Recognition and Analysis (11 papers). Hossein Rahmani is often cited by papers focused on Human Pose and Action Recognition (22 papers), Anomaly Detection Techniques and Applications (12 papers) and Gait Recognition and Analysis (11 papers). Hossein Rahmani collaborates with scholars based in United Kingdom, Iran and Australia. Hossein Rahmani's co-authors include Mohammed Bennamoun, Ajmal Mian, Syed Afaq Ali Shah, Qiuhong Ke, Jun Liu, Salman Khan, Du Q. Huynh, Arif Mahmood, Gang Wang and Salman Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Hossein Rahmani

88 papers receiving 2.4k 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.

Human Action Recognition From Various Data Modalities: A Review

2022 359 citations Qiuhong Ke, Hossein Rahmani et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
A Guide to Convolutional Neural Networks for Computer Vision

2018 309 citations Hossein Rahmani et al. UWA Profiles and Research Repository (University of Western Australia) profile →

Peers

Hossein Rahmani

CVPR

AI

BE

PS

HI

Giovanni Maria Farinella Italy

Mengmeng Wang China

Hamid Laga Australia

Jordi Gonzàlez Spain

Ratnakar Dash India

Lihong Zheng Australia

Anand Singh Jalal India

Shiv Ram Dubey India

Zhang Zhang China

Zhiqiang Tao United States

Giovanni Maria Farinella Italy

Hossein Rahmani

1.5k ×1.0

CVPR

452 ×0.6

AI

207 ×0.3

BE

43 ×0.1

PS

135 ×0.5

HI

Citations per year, relative to Hossein Rahmani Hossein Rahmani (= 1×) peers Giovanni Maria Farinella

Countries citing papers authored by Hossein Rahmani

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Rahmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Rahmani

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

1.

Rahmani, Hossein, et al.. (2025). Recent Advances of Continual Learning in Computer Vision: An Overview. IET Computer Vision. 19(1). 4 indexed citations

2.

Jiang, Zheheng, Hossein Rahmani, Sue Black, & Bryan M. Williams. (2025). 3D Points Splatting for real-time dynamic Hand Reconstruction. Pattern Recognition. 162. 111426–111426.

3.

Williams, Bryan M., et al.. (2025). Demonstrable and anatomy-driven knuckle identification via crease map segmentation. Signal Image and Video Processing. 19(4). 2 indexed citations

4.

Pan, Jianhong, Lin Geng Foo, Zhipeng Fan, et al.. (2023). GradMDM: Adversarial Attack on Dynamic Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 11374–11381. 4 indexed citations

5.

Pan, Jianhong, Siyuan Yang, Lin Geng Foo, et al.. (2023). Progressive Channel-Shrinking Network. IEEE Transactions on Multimedia. 26. 2016–2026. 1 indexed citations

6.

Rahmani, Hossein, et al.. (2023). Ch1 (Vitis vinifera L.) Rootstock Control of Scion Response to Water Stress in Some Commercial Grapevine Cultivars. South African Journal of Enology and Viticulture. 44(1). 4 indexed citations

7.

Williams, Bryan M., et al.. (2022). Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. Sensors. 22(4). 1569–1569. 3 indexed citations

8.

Hamzeh, Ali, et al.. (2022). Proposing a novel deep network for detecting COVID-19 based on chest images. Scientific Reports. 12(1). 3116–3116. 7 indexed citations

9.

Yue, Jun, Leyuan Fang, Hossein Rahmani, & Pedram Ghamisi. (2021). Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 104 indexed citations

10.

Rahmani, Hossein, et al.. (2021). MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm. Intelligent Data Analysis. 25(6). 1547–1563. 3 indexed citations

11.

Rahmani, Hossein, et al.. (2020). Enhanced sensitivity of VEGF detection using catalase-mediated chemiluminescence immunoassay based on CdTe QD/H2O2 system. Journal of Nanobiotechnology. 18(1). 93–93. 15 indexed citations

12.

Rahmani, Hossein, et al.. (2016). Potential of Flavobacterium as Biofertilizer to Increase Wheat Yield. SHILAP Revista de lepidopterología. 1 indexed citations

13.

Rahmani, Hossein & Ajmal Mian. (2016). 3D Action Recognition from Novel Viewpoints. UWA Profiles and Research Repository (University of Western Australia). 1506–1515. 113 indexed citations

14.

Sajedi, Reza H., et al.. (2016). Allosteric properties of Geobacillus maltogenic amylase. Enzyme and Microbial Technology. 96. 36–41. 5 indexed citations

15.

Daneshian, J, et al.. (2013). Effect of PGPR and amino acid application on sunflower yield under different water deficit conditions.. 3(3). 467–471. 3 indexed citations

16.

Khavazi, K, et al.. (2010). Genetic diversity and efficiency of indole acetic acid production by the isolates of fluorescent pseudomonads from rhizosphere of rice (Oryza sativa L.).. American-Asian-Journal of agricultural & environmental sciences. 7(1). 103–109. 4 indexed citations

17.

Yadegari, Mehrab & Hossein Rahmani. (2010). Evaluation of bean (Phaseolus vulgaris) seeds' inoculation with Rhizobium phaseoli and plant growth promoting rhizobacteria (PGPR) on yield and yield components.. African Journal of Agricultural Research. 5(9). 792–799. 26 indexed citations

18.

Rahmani, Hossein, et al.. (2010). A new lossless watermarking scheme based on DCT coefficients. Lancaster EPrints (Lancaster University). 28–33. 1 indexed citations

19.

Farsi, Hassan, et al.. (2009). Improving voice activity detection used in ITU-T G.729.B. International Conference on Circuits. 11–15. 4 indexed citations

20.

Farsi, Hassan, et al.. (2009). Modifying voice activity detection in low SNR by correction factors. International Conference on Circuits. 16–20. 2 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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