Dina Hussein

817 citations
12 papers · 483 · 1 hit paper · h-index 7

Impact in

Papers in

Dina Hussein

11 papers receiving 464 citations

Hit Papers

The Cluster Between Internet of Things and Social Networks: Review and Research Challenges 2014 · 278 citations
2780+4+8Years since publication50100150200250

Peers

Dina Hussein
Comparison fields: 5 of 51
  • Computer Networks and Communications 338
  • Information Systems 168
  • Computer Science Applications 30
  • Computer Vision and Pattern Recognition 82
  • Artificial Intelligence 109
Replace Dianlei Xu with:
Dianlei Xu China
Soochang Park South Korea
R. Serral-Gracià Spain
Antonio M. Ortiz Spain
Osman Khalid Pakistan
Lewis Tseng United States
Hossam Afifi France
Sijing Duan China
Cagatay Sonmez Türkiye
Ana Juan Ferrer Spain
Dina Hussein relative to Dianlei Xu China Dianlei Xu's profile →
Citations per field
00.5×4.8×
Dianlei Xu · 1×
Citations per year

Countries citing papers authored by Dina Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Dina Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Dina Hussein, 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 Dina Hussein Line = papers co-authored together Dina Hussein links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The Cluster Between Internet of Things and Social Networks: Review and Research Challenges
Hit paper breakdown →
2014278
2 201751
3 201948
4 201537
5 201636
6 201514
7 20158
8 20176
9
Classifying Web 2.0 Supported Applications By Pattern Of Usage: Functional & Technical ISSUES.
20093
10 20151
11 20101
12
A Roadmap For Integrating Web 2.0 Tools Into Is Teaching & Rerearch In A Developing Country Context: The Egyptian Perspective
20090

About Dina Hussein

Dina Hussein is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 12 papers that have together received 483 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Context-Aware Activity Recognition Systems (6 papers), Web Applications and Data Management (2 papers), Access Control and Trust (2 papers), Web and Library Services (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Cryptography and Data Security (2 papers) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Computer Networks and Communications (338 citations), Information Systems (168 citations), Computer Science Applications (30 citations), Computer Vision and Pattern Recognition (82 citations) and Artificial Intelligence (109 citations). Dina Hussein has collaborated with scholars based in France, United Kingdom and Egypt. Frequent co-authors include Noël Crespi, Son N. Han, Soochang Park, Antonio M. Ortiz, E. Bertin, Cigdem Sengul, Gyu Myoung Lee, Soochang Park and Ahmed Hamad. Their work appears in journals such as IEEE Internet Computing, IEEE Internet of Things Journal, Computers & Electrical Engineering, IEEE Communications Magazine and IEEE Cloud Computing.

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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