Badis Hammi

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

About

Badis Hammi is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Badis Hammi has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Badis Hammi's work include Blockchain Technology Applications and Security (9 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (5 papers). Badis Hammi is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (5 papers). Badis Hammi collaborates with scholars based in France, United States and Saudi Arabia. Badis Hammi's co-authors include Ahmed Serhrouchni, Patrick Bellot, Mohamed Tahar Hammi, Sherali Zeadally, Rida Khatoun, Jamel Nebhen, Lyes Khoukhi, Youcef Begriche, Alfredo J. Pérez and Houda Labiod and has published in prestigious journals such as ACM Computing Surveys, Computer and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Badis Hammi

22 papers receiving 1.0k citations

Hit Papers

Bubbles of Trust: A decentralized blockchain-based authen... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Badis Hammi France 12 678 585 231 152 109 22 1.0k
B. D. Deebak India 21 679 1.0× 782 1.3× 362 1.6× 207 1.4× 119 1.1× 51 1.3k
Junfeng Xie China 6 673 1.0× 849 1.5× 318 1.4× 238 1.6× 82 0.8× 13 1.3k
Geetanjali Rathee India 18 766 1.1× 693 1.2× 350 1.5× 255 1.7× 77 0.7× 99 1.3k
Wenmin Lin China 14 403 0.6× 448 0.8× 252 1.1× 136 0.9× 65 0.6× 34 857
Faiz Abdullah Alotaibi Saudi Arabia 7 380 0.6× 648 1.1× 227 1.0× 123 0.8× 211 1.9× 19 956
Shunmei Meng China 17 467 0.7× 558 1.0× 316 1.4× 110 0.7× 75 0.7× 65 952
Tianyi Song United States 12 387 0.6× 393 0.7× 261 1.1× 197 1.3× 71 0.7× 22 839
Pushpita Chatterjee United States 18 411 0.6× 473 0.8× 369 1.6× 210 1.4× 72 0.7× 67 1.1k
Marco Picone Italy 20 434 0.6× 864 1.5× 173 0.7× 287 1.9× 119 1.1× 95 1.4k
Spyros Panagiotakis Greece 11 347 0.5× 457 0.8× 177 0.8× 196 1.3× 182 1.7× 45 878

Countries citing papers authored by Badis Hammi

Since Specialization
Citations

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

Fields of papers citing papers by Badis Hammi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badis Hammi

This figure shows the co-authorship network connecting the top 25 collaborators of Badis Hammi. A scholar is included among the top collaborators of Badis Hammi 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 Badis Hammi. Badis Hammi 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.
Hammi, Badis, et al.. (2024). Malware Detection Through Windows System Call Analysis. SPIRE - Sciences Po Institutional REpository. 1–7. 1 indexed citations
2.
Madhoun, Nour El & Badis Hammi. (2024). Blockchain Technology in the Healthcare Sector: Overview and Security Analysis. SPIRE - Sciences Po Institutional REpository. 439–446. 8 indexed citations
3.
Hammi, Badis, Sherali Zeadally, & Alfredo J. Pérez. (2023). Non-Fungible Tokens: A Review. IEEE Internet of Things Magazine. 6(1). 46–50. 28 indexed citations
4.
Hammi, Badis, Sherali Zeadally, & Jamel Nebhen. (2023). Security Threats, Countermeasures, and Challenges of Digital Supply Chains. ACM Computing Surveys. 55(14s). 1–40. 39 indexed citations
5.
Hammi, Badis & Sherali Zeadally. (2023). Software Supply-Chain Security: Issues and Countermeasures. Computer. 56(7). 54–66. 8 indexed citations
6.
Hammi, Badis, Sherali Zeadally, Rida Khatoun, & Jamel Nebhen. (2022). Survey on smart homes: Vulnerabilities, risks, and countermeasures. Computers & Security. 117. 102677–102677. 63 indexed citations
7.
Hammi, Badis, et al.. (2022). Is it Really Easy to Detect Sybil Attacks in C-ITS Environments: A Position Paper. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18273–18287. 17 indexed citations
8.
Hammi, Badis, et al.. (2022). PhishGNN: A Phishing Website Detection Framework using Graph Neural Networks. SPIRE - Sciences Po Institutional REpository. 428–435. 7 indexed citations
9.
Hammi, Badis, et al.. (2022). PKIs in C-ITS: Security functions, architectures and projects: A survey. Vehicular Communications. 38. 100531–100531. 7 indexed citations
10.
Hammi, Badis, et al.. (2022). A machine learning based approach for the detection of sybil attacks in C-ITS. SPIRE - Sciences Po Institutional REpository. 1–4. 2 indexed citations
11.
Hammi, Badis, et al.. (2021). A blockchain-based certificate revocation management and status verification system. Computers & Security. 104. 102209–102209. 53 indexed citations
12.
Hammi, Badis, et al.. (2021). Blockchain-Based Solution for Detecting and Preventing Fake Check Scams. IEEE Transactions on Engineering Management. 69(6). 3710–3725. 16 indexed citations
13.
Hammi, Badis, Sherali Zeadally, Houda Labiod, et al.. (2020). A secure multipath reactive protocol for routing in IoT and HANETs. Ad Hoc Networks. 103. 102118–102118. 26 indexed citations
14.
Hammi, Badis, et al.. (2020). A Lightweight ECC-Based Authentication Scheme for Internet of Things (IoT). IEEE Systems Journal. 14(3). 3440–3450. 114 indexed citations
15.
Hammi, Badis, et al.. (2019). Fake Check Scams: A Block Chain Based Detection Solution. 81–97. 2 indexed citations
16.
Hammi, Badis, Sherali Zeadally, & Rida Khatoun. (2018). An empirical investigation of botnet as a service for cyberattacks. Transactions on Emerging Telecommunications Technologies. 30(3). 8 indexed citations
17.
Hammi, Mohamed Tahar, Badis Hammi, Patrick Bellot, & Ahmed Serhrouchni. (2018). Bubbles of Trust: A decentralized blockchain-based authentication system for IoT. Computers & Security. 78. 126–142. 487 indexed citations breakdown →
18.
Hammi, Badis, et al.. (2018). An adaptive authentication and authorization scheme for IoT’s gateways: a blockchain based approach. SPIRE - Sciences Po Institutional REpository. 1–7. 13 indexed citations
19.
Cogranne, Rémi, et al.. (2017). Detecting Botclouds at Large Scale: A Decentralized and Robust Detection Method for Multi-Tenant Virtualized Environments. IEEE Transactions on Network and Service Management. 15(1). 68–82. 12 indexed citations
20.
Labiod, Houda, et al.. (2016). A New Service Advertisement Message for ETSI ITS Environments: CAM-Infrastructure. 1–4. 3 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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