Bahman Arasteh

1.9k total citations · 3 hit papers
100 papers, 1.2k citations indexed

About

Bahman Arasteh is a scholar working on Computer Networks and Communications, Information Systems and Software. According to data from OpenAlex, Bahman Arasteh has authored 100 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 43 papers in Information Systems and 36 papers in Software. Recurrent topics in Bahman Arasteh's work include Software Reliability and Analysis Research (34 papers), Software Engineering Research (23 papers) and Software Testing and Debugging Techniques (18 papers). Bahman Arasteh is often cited by papers focused on Software Reliability and Analysis Research (34 papers), Software Engineering Research (23 papers) and Software Testing and Debugging Techniques (18 papers). Bahman Arasteh collaborates with scholars based in Iran, Türkiye and Azerbaijan. Bahman Arasteh's co-authors include Farhad Soleimanian Gharehchopogh, Asgarali Bouyer, Benyamın Abdollahzadeh, Saeid Barshandeh, Turgay İbrikçі, Gültekin Işık, Ali Ghaffari, Mohammad Hasan Namazi, Reza Ghanbarzadeh and Farzad Kiani and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Bahman Arasteh

83 papers receiving 1.1k citations

Hit Papers

Slime Mould Algorithm: A Comprehensive Survey of Its Vari... 2023 2026 2024 2025 2023 2023 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bahman Arasteh Iran 19 443 385 385 261 165 100 1.2k
Mohammad Abdollahi Azgomi Iran 19 551 1.2× 421 1.1× 251 0.7× 102 0.4× 118 0.7× 121 1.2k
Saeed Jalili Iran 18 252 0.6× 335 0.9× 510 1.3× 64 0.2× 131 0.8× 92 981
Xiaohong Li China 17 471 1.1× 498 1.3× 415 1.1× 242 0.9× 286 1.7× 120 1.2k
O. P. Vyas India 17 353 0.8× 384 1.0× 498 1.3× 67 0.3× 142 0.9× 120 1.1k
Amrit Lal Sangal India 15 564 1.3× 316 0.8× 717 1.9× 133 0.5× 341 2.1× 64 1.6k
Jitender Kumar Chhabra India 21 298 0.7× 782 2.0× 699 1.8× 503 1.9× 67 0.4× 95 1.5k
Jinyin Chen China 21 295 0.7× 233 0.6× 919 2.4× 85 0.3× 142 0.9× 129 1.5k
Jianling Sun China 20 366 0.8× 924 2.4× 514 1.3× 395 1.5× 249 1.5× 79 1.4k
He Jiang China 25 378 0.9× 1.3k 3.3× 634 1.6× 618 2.4× 330 2.0× 161 1.8k
Tho Quan Vietnam 15 286 0.6× 397 1.0× 603 1.6× 50 0.2× 235 1.4× 99 1.1k

Countries citing papers authored by Bahman Arasteh

Since Specialization
Citations

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

Fields of papers citing papers by Bahman Arasteh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahman Arasteh

This figure shows the co-authorship network connecting the top 25 collaborators of Bahman Arasteh. A scholar is included among the top collaborators of Bahman Arasteh 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 Bahman Arasteh. Bahman Arasteh 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
3.
Oskouei, Amin Golzari, et al.. (2024). Efficient superpixel-based brain MRI segmentation using multi-scale morphological gradient reconstruction and quantum clustering. Biomedical Signal Processing and Control. 100. 107063–107063. 11 indexed citations
4.
Ghaffari, Ali, et al.. (2024). Detecting and mitigating security anomalies in Software-Defined Networking (SDN) using Gradient-Boosted Trees and Floodlight Controller characteristics. Computer Standards & Interfaces. 91. 103871–103871. 7 indexed citations
5.
Arasteh, Bahman, et al.. (2024). CMShark: A NetFlow and machine-learning based crypto-jacking intrusion-detection method. Intelligent Decision Technologies. 18(3). 2255–2273. 1 indexed citations
6.
Arasteh, Bahman, et al.. (2024). Optimizing random forests to detect intrusion in the Internet of Things. Computers & Electrical Engineering. 120. 109860–109860. 8 indexed citations
7.
Arasteh, Bahman, et al.. (2024). Multiplex Community Detection in Social Networks Using a Chaos‐Based Hybrid Evolutionary Approach. Complexity. 2024(1). 4 indexed citations
8.
Bouyer, Asgarali, et al.. (2024). Maximizing Influence in Social Networks Using Combined Local Features and Deep Learning-Based Node Embedding. Big Data. 13(5). 379–397. 1 indexed citations
9.
Bouyer, Asgarali, et al.. (2024). Local core expanding-based label diffusion and local deep embedding for fast community detection algorithm in social networks. Computers & Electrical Engineering. 119. 109502–109502. 1 indexed citations
10.
Arasteh, Bahman, et al.. (2024). Effective test-data generation using the modified black widow optimization algorithm. Signal Image and Video Processing. 18(6-7). 5333–5346.
11.
Gharehchopogh, Farhad Soleimanian, Benyamın Abdollahzadeh, Saeid Barshandeh, & Bahman Arasteh. (2023). A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT. Internet of Things. 24. 100952–100952. 103 indexed citations breakdown →
12.
Arasteh, Bahman, et al.. (2023). An intrusion detection method to detect denial of service attacks using error-correcting output codes and adaptive neuro-fuzzy inference. Computers & Electrical Engineering. 106. 108600–108600. 10 indexed citations
13.
Gharehchopogh, Farhad Soleimanian, et al.. (2023). Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications. Archives of Computational Methods in Engineering. 30(4). 2683–2723. 110 indexed citations breakdown →
14.
Arasteh, Bahman, et al.. (2023). DATA REPLICATION IN DISTRIBUTED SYSTEMS USING OLYMPIAD OPTIMIZATION ALGORITHM. Facta Universitatis Series Mechanical Engineering. 21(3). 501–501. 4 indexed citations
15.
Arasteh, Bahman, et al.. (2023). Effective Software Mutation-Test Using Program Instructions Classification. Journal of Electronic Testing. 39(5-6). 631–657. 2 indexed citations
16.
Arasteh, Bahman, et al.. (2023). A bioinspired discrete heuristic algorithm to generate the effective structural model of a program source code. Journal of King Saud University - Computer and Information Sciences. 35(8). 101655–101655. 10 indexed citations
17.
Arasteh, Bahman, Amir Seyyedabbasi, Jawad Rasheed, & Adnan M. Abu‐Mahfouz. (2023). Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm. Symmetry. 15(2). 401–401. 17 indexed citations
18.
Arasteh, Bahman, et al.. (2014). Highly Available and Dependable E-learning Services Using Grid System. Procedia - Social and Behavioral Sciences. 143. 471–476. 11 indexed citations
19.
Arasteh, Bahman, et al.. (2013). Using Program Slicing Technique to Reduce the Cost of Software Testing. 2(7). 24–33. 1 indexed citations
20.
Arasteh, Bahman, et al.. (2011). A Pattern-Oriented And Web-Based Architecture To Support Mobile Learning Software Development. Procedia - Social and Behavioral Sciences. 28. 194–199. 14 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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