Shahriar Badsha

1.7k total citations · 1 hit paper
34 papers, 1.0k citations indexed

About

Shahriar Badsha is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shahriar Badsha has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 18 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Shahriar Badsha's work include Blockchain Technology Applications and Security (18 papers), Privacy-Preserving Technologies in Data (14 papers) and Vehicular Ad Hoc Networks (VANETs) (8 papers). Shahriar Badsha is often cited by papers focused on Blockchain Technology Applications and Security (18 papers), Privacy-Preserving Technologies in Data (14 papers) and Vehicular Ad Hoc Networks (VANETs) (8 papers). Shahriar Badsha collaborates with scholars based in United States, Australia and Saudi Arabia. Shahriar Badsha's co-authors include Shamik Sengupta, A. S. M. Kayes, Paul Watters, Alex Ng, Iqbal H. Sarker, Ibrahim Khalil, Hamed Alqahtani, Mohammed Atiquzzaman, Iman Vakilinia and Hung Manh La and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Shahriar Badsha

32 papers receiving 977 citations

Hit Papers

align trajectories sort by overperformance

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.

Cybersecurity data science: an overview from machine learning perspective

2020 366 citations Iqbal H. Sarker, A. S. M. Kayes et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahriar Badsha United States	18	521	483	384	235	194	34	1.0k
Spiridon Bakiras Qatar	14	338 0.6×	460 1.0×	355 0.9×	233 1.0×	305 1.6×	57	1.2k
Pushpita Chatterjee United States	18	411 0.8×	473 1.0×	369 1.0×	210 0.9×	72 0.4×	67	1.1k
Geetanjali Rathee India	18	766 1.5×	693 1.4×	350 0.9×	255 1.1×	77 0.4×	99	1.3k
Nawab Muhammad Faseeh Qureshi South Korea	22	343 0.7×	545 1.1×	382 1.0×	295 1.3×	91 0.5×	68	1.2k
Youki Kadobayashi Japan	20	500 1.0×	1000 2.1×	515 1.3×	344 1.5×	438 2.3×	148	1.5k
Gulshan Kumar India	25	792 1.5×	989 2.0×	478 1.2×	377 1.6×	188 1.0×	125	1.7k
Azizol Abdullah Malaysia	17	417 0.8×	829 1.7×	293 0.8×	190 0.8×	220 1.1×	132	1.1k
Stavros Shiaeles United Kingdom	14	454 0.9×	459 1.0×	275 0.7×	80 0.3×	264 1.4×	63	862
Junfeng Xie China	6	673 1.3×	849 1.8×	318 0.8×	238 1.0×	82 0.4×	13	1.3k

Countries citing papers authored by Shahriar Badsha

Since Specialization

Citations

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

Fields of papers citing papers by Shahriar Badsha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahriar Badsha

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

Badsha, Shahriar, et al.. (2025). Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning. IEEE Transactions on Artificial Intelligence. 6(11). 2922–2939. 4 indexed citations

La, Hung Manh, et al.. (2024). RAMPART: Reinforcing Autonomous Multi-Agent Protection through Adversarial Resistance in Transportation. 1(4). 1–25. 3 indexed citations

Imteaj, Ahmed, et al.. (2024). Context-Aware Spatiotemporal Poisoning Attacks on Wearable-Based Activity Recognition. 1–2.

Zografopoulos, Ioannis, et al.. (2023). A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 9 indexed citations

La, Hung Manh, et al.. (2023). BRNES: Enabling Security and Privacy-Aware Experience Sharing in Multiagent Robotic and Autonomous Systems. 9269–9276.

Badsha, Shahriar, et al.. (2022). A Triggerless Backdoor Attack and Defense Mechanism for Intelligent Task Offloading in Multi-UAV Systems. IEEE Internet of Things Journal. 10(7). 5719–5732. 23 indexed citations

Islam, Md. Didarul, Haoting Shen, & Shahriar Badsha. (2022). Integrating blockchain into supply chain safeguarded by PUF-enabled RFID. Internet of Things. 18. 100505–100505. 17 indexed citations

Khalil, Ibrahim, et al.. (2022). Toward Trustworthy and Privacy-Preserving Federated Deep Learning Service Framework for Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 19(2). 1535–1547. 30 indexed citations

Chamorro, Harold R., et al.. (2022). Blockchain for Distributed Energy Resources Management and Integration. IEEE Access. 10. 68598–68617. 25 indexed citations

10.

Badsha, Shahriar, et al.. (2021). DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning. 167–174. 25 indexed citations

11.

Badsha, Shahriar, et al.. (2021). Personalized Privacy Preservation for Smart Grid. 1–7. 5 indexed citations

12.

Sarker, Iqbal H., A. S. M. Kayes, Shahriar Badsha, et al.. (2020). Cybersecurity data science: an overview from machine learning perspective. Journal Of Big Data. 7(1). 366 indexed citations breakdown →

13.

Badsha, Shahriar, et al.. (2020). Towards secure and practical consensus for blockchain based VANET. Information Sciences. 545. 170–187. 86 indexed citations

14.

Badsha, Shahriar, et al.. (2020). Reputation-Based Miner Node Selection in Blockchain-Based Vehicular Edge Computing. IEEE Consumer Electronics Magazine. 10(5). 14–22. 12 indexed citations

15.

Badsha, Shahriar, et al.. (2020). Game theoretic approach applied in cybersecurity information exchange framework. 1–7. 4 indexed citations

16.

Badsha, Shahriar, et al.. (2020). PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0. arXiv (Cornell University). 1–7. 14 indexed citations

17.

Badsha, Shahriar, et al.. (2020). BITS: Blockchain based Intelligent Transportation System with Outlier Detection for Smart City. RMIT Research Repository (RMIT University Library). 1–6. 20 indexed citations

18.

Badsha, Shahriar, et al.. (2020). A Light-weight Blockchain Architecture for V2V Knowledge Sharing at Vehicular Edges. 1–8. 12 indexed citations

19.

Badsha, Shahriar, et al.. (2020). An Automated Framework for Real-time Phishing URL Detection. 335–341. 24 indexed citations

20.

Vakilinia, Iman, Shahriar Badsha, & Shamik Sengupta. (2018). Crowdfunding the Insurance of a Cyber-Product Using Blockchain. 964–970. 25 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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