Aminollah Khormali

848 citations
23 papers · 543 indexed · h-index 12
Topics
Network Security and Intrusion Detection (7 papers)Advanced Malware Detection Techniques (7 papers)Adversarial Robustness in Machine Learning (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Aminollah Khormali

23 papers receiving 519 citations

Peers

Aminollah Khormali
Comparison fields: 5 of 67
  • Artificial Intelligence 249
  • Computer Networks and Communications 201
  • Signal Processing 189
  • Computer Vision and Pattern Recognition 108
  • Information Systems 75
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Divya Kumar India
Barbora Micenková Denmark
Ryohei Fujimaki Japan
Ning Ruan United States
Sakir Sezer United Kingdom
Lansheng Han China
Eddy Mayoraz Switzerland
Alefiya Hussain United States
T. Downs Australia
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Citations per field
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Citations per year

Countries citing papers authored by Aminollah Khormali

Since Specialization
Citations

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

Fields of papers citing papers by Aminollah Khormali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aminollah Khormali

This figure shows the co-authorship network connecting the top 25 collaborators of Aminollah Khormali. A scholar is included among the top collaborators of Aminollah Khormali 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 Aminollah Khormali. Aminollah Khormali 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
1 1
2 2
3 11
4 35
5 11
6 10
7 35
8 2
9 55
10 115
11 5
12 16
13 15
14 93
15 1
16 43
17 1
18 24
19 6
20 5

About Aminollah Khormali

Aminollah Khormali is a scholar working on Signal Processing, Software and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 543 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Adversarial Robustness in Machine Learning (6 papers). The work is most often cited by research in Signal Processing (189 citations), Statistics, Probability and Uncertainty (70 citations) and Computer Networks and Communications (201 citations). Aminollah Khormali has collaborated with scholars based in United States, South Korea and Iran. Frequent co-authors include Abdoljalil Addeh, J.S. Yuan, Aziz Mohaisen, Ahmed Abusnaina, Noorbakhsh Amiri Golilarz, Jeman Park, DaeHun Nyang, Afsah Anwar, Hisham Alasmary and Amro Awad. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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