Ammar Battah

1.0k total citations · 2 hit papers
14 papers, 469 citations indexed

About

Ammar Battah is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ammar Battah has authored 14 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Ammar Battah's work include Blockchain Technology Applications and Security (10 papers), Cryptography and Data Security (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Ammar Battah is often cited by papers focused on Blockchain Technology Applications and Security (10 papers), Cryptography and Data Security (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Ammar Battah collaborates with scholars based in United Arab Emirates, Italy and Morocco. Ammar Battah's co-authors include Khaled Salah, Raja Jayaraman, Mohamed Amine Ferrag, Ibrar Yaqoob, Mohammad Madine, Norbert Tihanyi, Yousof Al-Hammadi, Saša Pešić, Samer Ellahham and Youssef Iraqi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Electronics.

In The Last Decade

Ammar Battah

13 papers receiving 438 citations

Hit Papers

align trajectories

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.

Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

2024 99 citations Mohamed Amine Ferrag, Ammar Battah et al. SHILAP Revista de lepidopterología profile →
Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

2025 19 citations Mohamed Amine Ferrag, Ammar Battah et al. SHILAP Revista de lepidopterología profile →

Peers

Ammar Battah

IS

CNC

AI

SP

MIS

Nаtalia Miloslavskaya Russia

Marcus Pendleton United States

Paul Fremantle United Kingdom

Amleto Di Salle Italy

Eder J. Scheid Switzerland

Nadia Tabassum Pakistan

Robin Gandhi United States

Shigeaki Tanimoto Japan

Mouna Jouini Tunisia

Nаtalia Miloslavskaya Russia

Ammar Battah

224 ×0.7

IS

200 ×1.0

CNC

101 ×0.7

AI

64 ×1.1

SP

64 ×1.5

MIS

Citations per year, relative to Ammar Battah Ammar Battah (= 1×) peers Nаtalia Miloslavskaya

Countries citing papers authored by Ammar Battah

Since Specialization

Citations

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

Fields of papers citing papers by Ammar Battah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Battah

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Battah. A scholar is included among the top collaborators of Ammar Battah 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 Ammar Battah. Ammar Battah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Ferrag, Mohamed Amine, et al.. (2025). Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities. SHILAP Revista de lepidopterología. 5. 1–46. 19 indexed citations breakdown →

2.

Ferrag, Mohamed Amine, et al.. (2024). Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models. SHILAP Revista de lepidopterología. 4. 167–185. 99 indexed citations breakdown →

3.

Battah, Ammar, Khaled Salah, Raja Jayaraman, Ibrar Yaqoob, & Ashraf Khalil. (2023). Using Blockchain for Enabling Transparent, Traceable, and Trusted University Ranking Systems. IEEE Access. 11. 23792–23807. 2 indexed citations

4.

Ferrag, Mohamed Amine, et al.. (2023). Deep learning for cyber threat detection in IoT networks: A review. SHILAP Revista de lepidopterología. 4. 110–128. 58 indexed citations

5.

Salah, Khaled, Ammar Battah, Mohammad Madine, et al.. (2022). Incorporating Registration, Reputation, and Incentivization Into the NFT Ecosystem. IEEE Access. 10. 76416–76433. 27 indexed citations

6.

Battah, Ammar, Mohammad Madine, Ibrar Yaqoob, et al.. (2022). Blockchain and NFTs for Trusted Ownership, Trading, and Access of AI Models. IEEE Access. 10. 112230–112249. 23 indexed citations

7.

Madine, Mohammad, Khaled Salah, Raja Jayaraman, et al.. (2022). Blockchain and NFTs for Time-Bound Access and Monetization of Private Data. IEEE Access. 10. 94186–94202. 22 indexed citations

8.

Battah, Ammar, Youssef Iraqi, & Ernesto Damiani. (2022). A Trust and Reputation System for IoT Service Interactions. IEEE Transactions on Network and Service Management. 19(3). 2987–3005. 15 indexed citations

9.

Salah, Khaled, et al.. (2022). Blockchain-Based Traceability for Shipping Containers in Unimodal and Multimodal Logistics. IEEE Access. 10. 133539–133556. 16 indexed citations

10.

Salah, Khaled, et al.. (2022). Blockchain-Based Processing of Health Insurance Claims for Prescription Drugs. IEEE Access. 10. 118093–118107. 20 indexed citations

11.

Battah, Ammar, Youssef Iraqi, & Ernesto Damiani. (2021). Blockchain-Based Reputation Systems: Implementation Challenges and Mitigation. Electronics. 10(3). 289–289. 16 indexed citations

12.

Madine, Mohammad, Ammar Battah, Ibrar Yaqoob, et al.. (2020). Blockchain for Giving Patients Control Over Their Medical Records. IEEE Access. 8. 193102–193115. 111 indexed citations

13.

Battah, Ammar, et al.. (2020). Blockchain-Based Multi-Party Authorization for Accessing IPFS Encrypted Data. IEEE Access. 8. 196813–196825. 41 indexed citations

14.

Madine, Mohammad, et al.. (2019). Detecting Drivers Smartphone: A Learned Features Approach using Aggregated Scalogram Images. 7. 1–5.

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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