Hai Anh Tran

1.2k citations
78 papers · 676 indexed · h-index 13
Topics
Software-Defined Networks and 5G (25 papers)Network Security and Intrusion Detection (20 papers)Internet Traffic Analysis and Secure E-voting (15 papers)

In The Last Decade

Hai Anh Tran

62 papers receiving 654 citations

Peers

Hai Anh Tran
Comparison fields: 5 of 100
  • Computer Networks and Communications 440
  • Artificial Intelligence 290
  • Signal Processing 171
  • Information Systems 119
  • Electrical and Electronic Engineering 74
Replace Narmeen Zakaria Bawany with:
Narmeen Zakaria Bawany Pakistan
Wesam Almobaideen Jordan
Mehrdad Jalali Iran
Saed Alrabaee United Arab Emirates
Shahram Jamali Iran
Martin Boldt Sweden
Abidemi Emmanuel Adeniyi Nigeria
Jianhua Li China
Ian Fette United States
Hai Anh Tran relative to Narmeen Zakaria Bawany Pakistan Narmeen Zakaria Bawany's profile →
Citations per field
00.5×1.7×
Narmeen Zakaria Bawany · 1×
Citations per year

Countries citing papers authored by Hai Anh Tran

Since Specialization
Citations

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

Fields of papers citing papers by Hai Anh Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Anh Tran. 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 Hai Anh Tran. The network helps show where Hai Anh Tran may publish in the future.

Co-authorship network of co-authors of Hai Anh Tran

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 0
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8 1
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10 1
11 7
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13 2
14 1
15 2
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18 8
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About Hai Anh Tran

Hai Anh Tran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 676 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (25 papers), Network Security and Intrusion Detection (20 papers) and Internet Traffic Analysis and Secure E-voting (15 papers). The work is most often cited by research in Computer Networks and Communications (440 citations), Signal Processing (171 citations) and Artificial Intelligence (290 citations). Hai Anh Tran has collaborated with scholars based in Vietnam, France and United States. Frequent co-authors include Van Tong, Abdelhamid Mellouk, Sami Souihi, Duc Tran, Saïd Hoceini, Yuliya Strizhakova, Sherali Zeadally, Julien Pérez, Samuel G. B. Johnson and Scott Fowler. Their work appears in journals such as Journal of Business Research, Journal of Business Venturing and Tourism Management.

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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