Danial Javaheri

1.1k total citations · 1 hit paper
30 papers, 708 citations indexed

About

Danial Javaheri is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Danial Javaheri has authored 30 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Danial Javaheri's work include IoT and Edge/Fog Computing (5 papers), Network Security and Intrusion Detection (4 papers) and Cloud Computing and Resource Management (4 papers). Danial Javaheri is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Network Security and Intrusion Detection (4 papers) and Cloud Computing and Resource Management (4 papers). Danial Javaheri collaborates with scholars based in South Korea, Iran and Australia. Danial Javaheri's co-authors include Jeong–A Lee, Saeid Gorgin, Pooia Lalbakhsh, Mohammad Masdari, Amir Masoud Rahmani, Mehdi Hosseinzadeh, Mehdi Hosseinzadeh, Mahsa Rezaei, Arash Heidari and Mehmet Ünal and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Danial Javaheri

28 papers receiving 682 citations

Hit Papers

A new lung cancer detection method based on the chest CT ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danial Javaheri South Korea 16 359 207 179 99 87 30 708
Reem Alkanhel Saudi Arabia 15 314 0.9× 206 1.0× 99 0.6× 250 2.5× 98 1.1× 71 833
S. Vimal India 17 492 1.4× 220 1.1× 207 1.2× 219 2.2× 58 0.7× 37 844
B. R. Rajakumar India 10 212 0.6× 316 1.5× 88 0.5× 171 1.7× 114 1.3× 13 876
S. Dhanasekaran India 13 365 1.0× 178 0.9× 283 1.6× 136 1.4× 28 0.3× 99 799
Roohie Naaz Mir India 14 381 1.1× 174 0.8× 226 1.3× 178 1.8× 98 1.1× 85 939
Sandeep Sharma India 14 718 2.0× 183 0.9× 375 2.1× 238 2.4× 46 0.5× 70 1.1k
Sunil L. Bangare India 12 208 0.6× 210 1.0× 121 0.7× 127 1.3× 37 0.4× 32 733
John Panneerselvam United Kingdom 19 424 1.2× 267 1.3× 319 1.8× 210 2.1× 35 0.4× 74 892
Monia Hamdi Saudi Arabia 17 304 0.8× 161 0.8× 134 0.7× 235 2.4× 17 0.2× 71 790

Countries citing papers authored by Danial Javaheri

Since Specialization
Citations

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

Fields of papers citing papers by Danial Javaheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danial Javaheri

This figure shows the co-authorship network connecting the top 25 collaborators of Danial Javaheri. A scholar is included among the top collaborators of Danial Javaheri 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 Danial Javaheri. Danial Javaheri 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.
Farnoosh, Rahman, et al.. (2025). An ethnic-sensitive hybrid framework for T2D prediction with explainable AI and weighted ensembles. Scientific Reports. 16(1). 1696–1696.
2.
Farnoosh, Rahman, et al.. (2025). DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction. PLoS ONE. 20(9). e0330454–e0330454. 1 indexed citations
3.
Ahmadi, Mohsen, et al.. (2024). A deeply supervised adaptable neural network for diagnosis and classification of Alzheimer’s severity using multitask feature extraction. PLoS ONE. 19(3). e0297996–e0297996. 5 indexed citations
4.
Kosari, Saeed, et al.. (2024). A Hybrid Discrete Grey Wolf Optimization Algorithm Imbalance-ness Aware for Solving Two-dimensional Bin-packing Problems. Journal of Grid Computing. 22(2). 2 indexed citations
5.
Jaberipur, Ghassem, et al.. (2024). RNPE: An MSDF and Redundant Number System-Based DNN Accelerator Engine. IEEE Access. 12. 96552–96564. 1 indexed citations
6.
Khamforoosh, Keyhan, et al.. (2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications. 228. 120487–120487. 22 indexed citations
7.
Javaheri, Danial, Saeid Gorgin, Jeong–A Lee, & Mohammad Masdari. (2023). Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives. Information Sciences. 626. 315–338. 64 indexed citations
8.
Javaheri, Danial, Mahdi Fahmideh, Hassan Chizari, Pooia Lalbakhsh, & Junbeom Hur. (2023). Cybersecurity threats in FinTech: A systematic review. Expert Systems with Applications. 241. 122697–122697. 26 indexed citations
9.
Darbandi, Mehdi, et al.. (2023). The Management of IoT-Based Organizational and Industrial Digitalization Using Machine Learning Methods. Sustainability. 15(7). 5932–5932. 6 indexed citations
10.
Khamforoosh, Keyhan, et al.. (2023). An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment. Computing. 106(1). 109–137. 36 indexed citations
11.
Heidari, Arash, Danial Javaheri, Shiva Toumaj, et al.. (2023). A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems. Artificial Intelligence in Medicine. 141. 102572–102572. 80 indexed citations breakdown →
12.
Ren, Weiguo, et al.. (2023). Brain tumor diagnosis using a step-by-step methodology based on courtship learning-based water strider algorithm. Biomedical Signal Processing and Control. 83. 104614–104614. 31 indexed citations
13.
Darbandi, Mehdi, Adel Fahad Alrasheedi, Khalid A. Alnowibet, Danial Javaheri, & Abolfazl Mehbodniya. (2022). Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic. Information Systems and e-Business Management. 6 indexed citations
14.
He, Ping, et al.. (2022). Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review. Sustainable Computing Informatics and Systems. 36. 100822–100822. 52 indexed citations
15.
Gorgin, Saeid, et al.. (2022). Ice Detection on Edge Device Based on Most Significant Digit First SVM. 61–66. 2 indexed citations
17.
Gorgin, Saeid, et al.. (2022). An Efficient FPGA Implementation of k-Nearest Neighbors via Online Arithmetic. 1–2. 9 indexed citations
18.
Javaheri, Danial, Pooia Lalbakhsh, & Mehdi Hosseinzadeh. (2021). A Novel Method for Detecting Future Generations of Targeted and Metamorphic Malware Based on Genetic Algorithm. IEEE Access. 9. 69951–69970. 24 indexed citations
19.
Javaheri, Danial, Mehdi Hosseinzadeh, & Amir Masoud Rahmani. (2018). Detection and Elimination of Spyware and Ransomware by Intercepting Kernel-Level System Routines. IEEE Access. 6. 78321–78332. 42 indexed citations
20.
Javaheri, Danial & Mehdi Hosseinzadeh. (2017). A Framework for Recognition and Confronting of Obfuscated Malwares Based on Memory Dumping and Filter Drivers. Wireless Personal Communications. 98(1). 119–137. 8 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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