Ryan Alturki

1.3k citations
70 papers · 824 · h-index 16

Impact in

Papers in

Ryan Alturki

62 papers receiving 794 citations

Peers

Ryan Alturki
Comparison fields: 5 of 106
  • Computer Networks and Communications 266
  • Information Systems 182
  • Human-Computer Interaction 42
  • Health Information Management 30
  • Signal Processing 71
Replace Mohamed Jamal Zemerly with:
Mohamed Jamal Zemerly United Arab Emirates
Paolo Sernani Italy
Majdi Rawashdeh Saudi Arabia
Muhammad Mostafa Monowar Saudi Arabia
Dmitry Korzun Russia
Mohammed A. Alqarni Saudi Arabia
Nikhil Sharma India
José Garcí­a-Alonso Spain
Xiao Ma China
Yunji Liang China
Ryan Alturki relative to Mohamed Jamal Zemerly United Arab Emirates Mohamed Jamal Zemerly's profile →
Citations per field
00.5×
Mohamed Jamal Zemerly · 1×
Citations per year

Countries citing papers authored by Ryan Alturki

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Alturki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Alturki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Alturki Line = papers co-authored together Ryan Alturki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202373
2 202261
3 202161
4 202147
5 202243
6 202138
7 202134
8 202131
9 201731
10 202124
11 202219
12 202119
13 201618
14 202316
15 201916
16 201816
17 202114
18 202114
19 201814
20 202114

About Ryan Alturki

Ryan Alturki is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and General Health Professions, having authored 70 papers that have together received 824 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Mobile Health and mHealth Applications (8 papers), Cryptography and Data Security (5 papers), Smart Grid Security and Resilience (5 papers), User Authentication and Security Systems (5 papers), Advanced Authentication Protocols Security (4 papers), Spam and Phishing Detection (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Computer Networks and Communications (266 citations), Information Systems (182 citations), Human-Computer Interaction (42 citations), Health Information Management (30 citations) and Signal Processing (71 citations). Ryan Alturki has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Valérie Gay, Mohammad Dahman Alshehri, Fazlullah Khan, Mian Ahmad Jan, Mohammad Wedyan, Spyridon Mastorakis, Ateeq Ur Rehman, Muhammad Usman Tariq, Md. Arafatur Rahman and Muhammad Ali Babar. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Access and Mobile Networks and Applications.

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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