Izzat Alsmadi

3.8k total citations · 1 hit paper
230 papers, 2.3k citations indexed

About

Izzat Alsmadi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Izzat Alsmadi has authored 230 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Information Systems, 97 papers in Artificial Intelligence and 71 papers in Computer Networks and Communications. Recurrent topics in Izzat Alsmadi's work include Network Security and Intrusion Detection (43 papers), Advanced Malware Detection Techniques (38 papers) and Software Engineering Research (33 papers). Izzat Alsmadi is often cited by papers focused on Network Security and Intrusion Detection (43 papers), Advanced Malware Detection Techniques (38 papers) and Software Engineering Research (33 papers). Izzat Alsmadi collaborates with scholars based in United States, Jordan and Saudi Arabia. Izzat Alsmadi's co-authors include Rasheed Ahmad, Mohammed N. Al‐Kabi, Dianxiang Xu, Heider A. Wahsheh, Lo’ai Tawalbeh, Jian Tang, Wasim A. Al-Hamdani, Ahmed Aleroud, Mohammed Akour and Aznul Qalid Md Sabri and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Immunology.

In The Last Decade

Izzat Alsmadi

209 papers receiving 2.2k 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 approaches to IoT security: A systematic literature review

2021 177 citations Izzat Alsmadi et al. profile →

Peers

Izzat Alsmadi

AI

CNC

IS

SP

SOFTW

Xiaohong Yuan United States

Kevin W. Hamlen United States

Guttorm Sindre Norway

Edgar Weippl Austria

Awais Rashid United Kingdom

Hironori Washizaki Japan

Hailong Sun China

Matt Bishop United States

Haralambos Mouratidis United Kingdom

Gillian Dobbie New Zealand

Xiaohong Yuan United States

Izzat Alsmadi

514 ×0.4

AI

605 ×0.7

CNC

876 ×1.0

IS

410 ×0.9

SP

60 ×0.3

SOFTW

Citations per year, relative to Izzat Alsmadi Izzat Alsmadi (= 1×) peers Xiaohong Yuan

Countries citing papers authored by Izzat Alsmadi

Since Specialization

Citations

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

Fields of papers citing papers by Izzat Alsmadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Izzat Alsmadi

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

1.

Alarood, Ala Abdulsalam, et al.. (2025). Enhanced obstacle detection using bilateral vision-aided transformer neural network for visually impaired persons. Cluster Computing. 28(15).

2.

Alarood, Ala Abdulsalam, et al.. (2025). Cybersecurity Intelligence Through Textual Data Analysis: A Framework Using Machine Learning and Terrorism Datasets. Future Internet. 17(4). 182–182. 1 indexed citations

3.

Alsmadi, Izzat, et al.. (2024). Ensemble-based Cyber Intrusion Detection for Robust Smart City Protection. 124–129. 2 indexed citations

4.

Alsmadi, Izzat, et al.. (2024). Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models. 39–47. 1 indexed citations

5.

Alsmadi, Izzat, et al.. (2022). Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions. IEEE Transactions on Computational Social Systems. 10(6). 3089–3108. 14 indexed citations

6.

Alsmadi, Izzat, et al.. (2022). Adversarial Machine Learning in Text Processing: A Literature Survey. IEEE Access. 10. 17043–17077. 15 indexed citations

7.

Rahouti, Mohamed, et al.. (2021). Anomaly detection in blockchain using network representation and machine learning. Security and Privacy. 5(2). 31 indexed citations

8.

Al‐Kabi, Mohammed N., et al.. (2018). Evaluating social context in arabic opinion mining.. The International Arab Journal of Information Technology. 15. 974–982. 10 indexed citations

9.

Alsmadi, Izzat, et al.. (2018). Google n-gram viewer does not include arabic corpus! towards n-gram viewer for arabic corpus.. The International Arab Journal of Information Technology. 15. 785–794. 2 indexed citations

10.

Akour, Mohammed, et al.. (2016). KP-Trie Algorithm for Update and Search Operations. The International Arab Journal of Information Technology. 13. 1 indexed citations

11.

Al‐Kabi, Mohammed N., Mahmoud Al‐Ayyoub, Izzat Alsmadi, & Heider A. Wahsheh. (2016). A prototype for a standard arabic sentiment analysis corpus.. The International Arab Journal of Information Technology. 13. 163–170. 24 indexed citations

12.

Alsmadi, Izzat, et al.. (2014). Evaluating the impact of software metrics on defects prediction. Part 2. SHILAP Revista de lepidopterología. 4 indexed citations

13.

Akour, Mohammed, et al.. (2014). MQVC: Measuring Quranic Verses Similarity and Sura Classification Using N-gram. Digital Commons @ Texas A&M University-San Antonio (Texas A&M University-San Antonio). 13. 12 indexed citations

14.

Alsmadi, Izzat, et al.. (2013). Design and code coupling assessment based on defects prediction. Part 1. SHILAP Revista de lepidopterología. 1 indexed citations

15.

Al‐Kabi, Mohammed N., et al.. (2013). A topical classification of Quranic arabic text. 252–257. 19 indexed citations

16.

Najadat, Hassan & Izzat Alsmadi. (2012). Enhance Rule Based Detection for Software Fault Prone Modules. The Journal of Physical Chemistry A. 6(1). 9568–74. 13 indexed citations

17.

Alsmadi, Izzat, et al.. (2012). Studying the Impact of Using Multimedia Interactive Programs at Children Ability to Learn Basic Math Skills.. Acta Didactica Napocensia. 5(2). 17–32. 34 indexed citations

18.

Alsmadi, Izzat & Mohammed N. Al‐Kabi. (2011). GUI Structural Metrics. The International Arab Journal of Information Technology. 8. 124–129. 7 indexed citations

19.

Alsmadi, Izzat, et al.. (2009). Separation of Concerns in Teaching Software Engineering.. 29–38. 1 indexed citations

20.

Alsmadi, Izzat & Kenneth Magel. (2007). GUI Test Automation Framework.. Software Engineering Research and Practice. 354–359. 2 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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