Reza Azmi

1.1k total citations
86 papers, 709 citations indexed

About

Reza Azmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Reza Azmi has authored 86 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 21 papers in Computer Networks and Communications. Recurrent topics in Reza Azmi's work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Reza Azmi is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). Reza Azmi collaborates with scholars based in Iran and Finland. Reza Azmi's co-authors include Mohsen Soryani, Morteza Zahedi, Ehsanollah Kabir, Mohammad Reza Keyvanpour, Pedram Amini, Mohammad Teshnehlab, Leila Salehi, Mehdi Mirzaei, Amir Habibzadeh-Sharif and Bahram Pishgoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Reza Azmi

73 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Azmi Iran 16 260 260 163 85 81 86 709
Xiaoyan Kui China 18 209 0.8× 250 1.0× 362 2.2× 73 0.9× 124 1.5× 102 943
J. Samuel Manoharan India 13 205 0.8× 214 0.8× 82 0.5× 36 0.4× 73 0.9× 35 607
Bowen Zhao China 11 243 0.9× 318 1.2× 153 0.9× 75 0.9× 63 0.8× 20 795
Sangmin Lee South Korea 13 315 1.2× 275 1.1× 263 1.6× 62 0.7× 172 2.1× 66 799
Abdullah Alqahtani Saudi Arabia 16 241 0.9× 317 1.2× 118 0.7× 60 0.7× 87 1.1× 95 951
A. Ahilan India 15 264 1.0× 195 0.8× 97 0.6× 55 0.6× 49 0.6× 74 835
Aznul Qalid Md Sabri Malaysia 15 173 0.7× 252 1.0× 119 0.7× 61 0.7× 58 0.7× 44 697
Ridha Ejbali Tunisia 15 481 1.9× 287 1.1× 157 1.0× 84 1.0× 27 0.3× 95 837
Ramgopal Kashyap India 19 128 0.5× 230 0.9× 165 1.0× 46 0.5× 136 1.7× 52 987
Ahmed Sedik Egypt 16 404 1.6× 292 1.1× 70 0.4× 138 1.6× 107 1.3× 56 1.1k

Countries citing papers authored by Reza Azmi

Since Specialization
Citations

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

Fields of papers citing papers by Reza Azmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Azmi

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Azmi. A scholar is included among the top collaborators of Reza Azmi 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 Reza Azmi. Reza Azmi 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.
Azmi, Reza, et al.. (2024). Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9296–9307. 14 indexed citations
2.
Azmi, Reza, Mehdi Mirzaei, & Amir Habibzadeh-Sharif. (2023). A novel optimal control strategy for regenerative active suspension system to enhance energy harvesting. Energy Conversion and Management. 291. 117277–117277. 18 indexed citations
3.
Azmi, Reza, et al.. (2023). Sentiment Analysis Of Twitter Data Towards COVID-19 Vaccines Using A Deep Learning Approach. 27. 7–11. 1 indexed citations
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Azmi, Reza, et al.. (2021). A hybrid recommender system based-on link prediction for movie baskets analysis. Journal Of Big Data. 8(1). 37 indexed citations
7.
Azmi, Reza, et al.. (2021). An analytics model for TelecoVAS customers’ basket clustering using ensemble learning approach. Journal Of Big Data. 8(1). 15 indexed citations
8.
Saberi, Sara, et al.. (2021). Residual Learning. Journal of Medical Signals & Sensors. 11(3). 159–168. 6 indexed citations
9.
Azmi, Reza, et al.. (2020). An Enhanced LSTM Method to Improve the Accuracy of the Business Process Prediction. SHILAP Revista de lepidopterología. 10(3). 71–97. 1 indexed citations
10.
Amini, Pedram, et al.. (2019). Analysis of Network Traffic Flows for Centralized Botnet Detection. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 11(2). 7–17. 8 indexed citations
11.
Azmi, Reza, et al.. (2016). A Novel Microaneurysms Detection Method Based on Local Applying of Markov Random Field. Journal of Medical Systems. 40(3). 74–74. 14 indexed citations
12.
Azmi, Reza, et al.. (2015). IDuFG: Introducing an Intrusion Detection using Hybrid Fuzzy Genetic Approach.. International journal of network security. 17. 754–770. 1 indexed citations
13.
Amini, Pedram, et al.. (2014). Botnet Detection using NetFlow and Clustering. Advances in computer science : an international journal. 3(2). 139–149. 15 indexed citations
14.
Azmi, Reza, et al.. (2014). An Improved Retinal Vessel Segmentation Method Based on High Level Features for Pathological Images. Journal of Medical Systems. 38(9). 108–108. 17 indexed citations
15.
Azmi, Reza, et al.. (2013). STLR: A Novel Danger Theory Based Structural TLR Algorithm. 5(2). 209–225. 5 indexed citations
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Azmi, Reza, et al.. (2012). Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms. Medical Image Analysis. 16(4). 840–848. 46 indexed citations
18.
Azmi, Reza, et al.. (2011). Comparison and evaluation of three optimization algorithms in MRF model for brain tumour segmentation in MRIs. Iranian Conference on Electrical Engineering. 1–5. 1 indexed citations
19.
Moosavi, Nafise Sadat, et al.. (2010). TCvisor: A hypervisor level secure storage. International Conference for Internet Technology and Secured Transactions. 1–9. 5 indexed citations
20.

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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