Ali Alessa

641 total citations · 1 hit paper
11 papers, 411 citations indexed

About

Ali Alessa is a scholar working on Computer Networks and Communications, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Ali Alessa has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Ali Alessa's work include Network Security and Intrusion Detection (5 papers), Misinformation and Its Impacts (3 papers) and Data-Driven Disease Surveillance (3 papers). Ali Alessa is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Misinformation and Its Impacts (3 papers) and Data-Driven Disease Surveillance (3 papers). Ali Alessa collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Ali Alessa's co-authors include Miad Faezipour, Razan Abdulhammed, Abdelshakour Abuzneid, Hassan Musafer, Riyad Alshammari, Noura Al Moubayed, David Budgen and Khaled Elleithy and has published in prestigious journals such as Electronics, JMIR Public Health and Surveillance and Theoretical Biology and Medical Modelling.

In The Last Decade

Ali Alessa

11 papers receiving 389 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.

Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

2019 230 citations Razan Abdulhammed, Hassan Musafer et al. Electronics profile →

Peers

Ali Alessa

AI

CNC

SP

EPIDE

SPS

Paul Cotae United States

Gitanjali R. Shinde India

Fatema Shaikh Saudi Arabia

Sakinat Oluwabukonla Folorunso Nigeria

Malak Aljabri Saudi Arabia

Abdulaziz Alashaikh Saudi Arabia

Sanaullah Manzoor Pakistan

Daniele Antonioli Germany

Anjali Sardana India

Shaikh Arifuzzaman United States

Paul Cotae United States

Ali Alessa

131 ×0.5

AI

194 ×0.8

CNC

53 ×0.4

SP

15 ×0.2

EPIDE

52 ×0.9

SPS

Citations per year, relative to Ali Alessa Ali Alessa (= 1×) peers Paul Cotae

Countries citing papers authored by Ali Alessa

Since Specialization

Citations

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

Fields of papers citing papers by Ali Alessa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Alessa

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Alessa, Ali, et al.. (2024). AI-Based Intrusion Detection for a Secure Internet of Things (IoT). Journal of Network and Systems Management. 32(3). 4 indexed citations

2.

Alessa, Ali, et al.. (2023). Evaluating the Extent of Health Insurance Knowledge and its Associated Factors among the Insured Population in Saudi Arabia. International Journal of Science and Research (IJSR). 12(12). 1727–1733. 1 indexed citations

3.

Budgen, David, et al.. (2021). Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records. JMIR Medical Informatics. 9(5). e25237–e25237. 12 indexed citations

4.

Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2019). Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection. Electronics. 8(3). 322–322. 230 indexed citations breakdown →

5.

Alessa, Ali & Miad Faezipour. (2019). Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study. JMIR Public Health and Surveillance. 5(2). e12383–e12383. 34 indexed citations

6.

Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2018). Machine Learning Approaches for Flow-Based Intrusion Detection Systems. University of Bridgeport ScholarWorks (University of Bridgeport). 2 indexed citations

7.

Alessa, Ali & Miad Faezipour. (2018). A review of influenza detection and prediction through social networking sites. Theoretical Biology and Medical Modelling. 15(1). 2–2. 80 indexed citations

8.

Alessa, Ali, et al.. (2018). Text Classification of Flu-Related Tweets Using FastText with Sentiment and Keyword Features. 366–367. 19 indexed citations

9.

Abdulhammed, Razan, Miad Faezipour, Abdelshakour Abuzneid, & Ali Alessa. (2018). Effective Features Selection and Machine Learning Classifiers for Improved Wireless Intrusion Detection. 1–6. 19 indexed citations

10.

Abdulhammed, Razan, Miad Faezipour, Abdelshakour Abuzneid, & Ali Alessa. (2018). Enhancing Wireless Intrusion Detection Using Machine Learning Classification with Reduced Attribute Sets. 524–529. 9 indexed citations

11.

Alessa, Ali, et al.. (2015). Directed diffusion based on weighted Grover's quantum algorithm (DWGQ). 1 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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