Riyad Alshammari

1.2k total citations
46 papers, 727 citations indexed

About

Riyad Alshammari is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Riyad Alshammari has authored 46 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 12 papers in Health Information Management. Recurrent topics in Riyad Alshammari's work include Internet Traffic Analysis and Secure E-voting (17 papers), Network Security and Intrusion Detection (16 papers) and Advanced Malware Detection Techniques (9 papers). Riyad Alshammari is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (17 papers), Network Security and Intrusion Detection (16 papers) and Advanced Malware Detection Techniques (9 papers). Riyad Alshammari collaborates with scholars based in Saudi Arabia, Canada and United Kingdom. Riyad Alshammari's co-authors include A. Nur Zincir‐Heywood, Imran Razzak, Noura Al Moubayed, David Budgen, A. Stephen McGough, Peter Lichodzijewski, Malcolm I. Heywood, Ali Alessa, Abdelkader Hameurlain and Biswajit Nandy and has published in prestigious journals such as Computer Networks, Lecture notes in computer science and Journal Of Big Data.

In The Last Decade

Riyad Alshammari

44 papers receiving 674 citations

Peers

Riyad Alshammari

CNC

HIM

Daby Sow United States

Mehmet Kayaalp United States

Abdullah Aljumah Saudi Arabia

Anjali Sardana India

Amir H. Payberah Sweden

Tanya Roosta United States

Aleksander Essex Canada

Omar Darwish United States

A. Malathi India

Uma Srinivasan Australia

Daby Sow United States

Riyad Alshammari

235 ×0.4

176 ×0.4

CNC

101 ×0.5

96 ×0.9

102 ×1.1

HIM

Citations per year, relative to Riyad Alshammari Riyad Alshammari (= 1×) peers Daby Sow

Countries citing papers authored by Riyad Alshammari

Since Specialization

Citations

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

Fields of papers citing papers by Riyad Alshammari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyad Alshammari

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

Alshammari, Riyad, et al.. (2023). Depicting Instant Messaging Encrypted Traffic Characteristics through an Empirical Study. 1–10.

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

Alshammari, Riyad, et al.. (2021). Using Machine Learning to Predict Early Preparation of Pharmacy Prescriptions at PSMMC - a Comparison of Four Machine Learning Algorithms. Acta Informatica Medica. 29(1). 21–21. 3 indexed citations

Alshammari, Riyad, et al.. (2021). Developing a Predictive Model of Predicting Appointment No-Show by Using Machine Learning Algorithms. Journal of Advances in Information Technology. 12(3). 16 indexed citations

Alshammari, Riyad, et al.. (2020). Predictors of outpatients’ no-show: big data analytics using apache spark. Journal Of Big Data. 7(1). 16 indexed citations

Budgen, David, et al.. (2020). Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm. JMIR Medical Informatics. 8(7). e18963–e18963. 2 indexed citations

Alshammari, Riyad, et al.. (2020). Improving Accuracy for Diabetes Mellitus Prediction by Using Deepnet. Online Journal of Public Health Informatics. 12(1). e11–e11. 7 indexed citations

Alshammari, Riyad, et al.. (2020). Utilizing Machine Learning to Recognize Human Activities for Elderly and Homecare. Acta Informatica Medica. 28(3). 196–196. 4 indexed citations

Alshammari, Riyad, et al.. (2020). Comparison of Statistical Logistic Regression and RandomForest Machine Learning Techniques in Predicting Diabetes. Journal of Advances in Information Technology. 78–83. 47 indexed citations

10.

Alhuwail, Dari, Riyad Alshammari, Najeeb Al-Shorbaji, et al.. (2020). Middle East and North African Health Informatics Association (MENAHIA). Yearbook of Medical Informatics. 29(1). 290–294. 2 indexed citations

11.

Alshammari, Riyad, et al.. (2019). Are There Bots even in FIFA World Cup 2018 Tweets?. 1–5.

12.

Alshammari, Riyad, et al.. (2017). Building Diabetes Early Warning System Using Data Mining Techniques. Journal of Medical Imaging and Health Informatics. 7(3). 655–659. 3 indexed citations

13.

Alshammari, Riyad, et al.. (2017). Predicting Hospital Readmission Within Thirty-Days. Journal of Medical Imaging and Health Informatics. 7(3). 696–703. 1 indexed citations

14.

Alshammari, Riyad & A. Nur Zincir‐Heywood. (2015). Identification of VoIP encrypted traffic using a machine learning approach. Journal of King Saud University - Computer and Information Sciences. 27(1). 77–92. 38 indexed citations

15.

Househ, Mowafa, et al.. (2015). Building a Culture of Health Informatics Innovation and Entrepreneurship: A New Frontier. Studies in health technology and informatics. 213. 237–40. 6 indexed citations

16.

Alshammari, Riyad & A. Nur Zincir‐Heywood. (2010). Unveiling Skype encrypted tunnels using GP. 1–8. 20 indexed citations

17.

Alshammari, Riyad & A. Nur Zincir‐Heywood. (2010). An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype. 310–313. 27 indexed citations

18.

Alshammari, Riyad & A. Nur Zincir‐Heywood. (2010). Can encrypted traffic be identified without port numbers, IP addresses and payload inspection?. Computer Networks. 55(6). 1326–1350. 106 indexed citations

19.

Alshammari, Riyad, et al.. (2007). Using Neuro-Fuzzy Approach to Reduce False Positive Alerts. 2200. 345–349. 21 indexed citations

20.

Alshammari, Riyad & A. Nur Zincir‐Heywood. (2007). A flow based approach for SSH traffic detection. 296–301. 42 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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