Abdullah Khalili

21 papers receiving 270 citations

Peers

Abdullah Khalili
Comparison fields: 5 of 63
  • Control and Systems Engineering 124
  • Computer Networks and Communications 110
  • Business and International Management 6
  • Signal Processing 28
  • Artificial Intelligence 81
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Qais Saif Qassim Malaysia
Virgil Dobrotă Romania
Alexios Lekidis Greece
Xinghui Zhao United States
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Abdelhafid Abouaïssa France
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Citations per year

Countries citing papers authored by Abdullah Khalili

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Khalili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Abdullah Khalili, 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 Abdullah Khalili Line = papers co-authored together Abdullah Khalili links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 201545
3 201935
4 202125
5 201822
6 201515
7 201813
8 202211
9 201511
10 20216
11 20146
12 20225
13 20175
14 20175
15 20154
16 20143
17 20143
18 20142
19 20162
20 20231

About Abdullah Khalili

Abdullah Khalili is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 21 papers that have together received 281 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Smart Grid Security and Resilience (9 papers), Anomaly Detection Techniques and Applications (3 papers), Vehicle License Plate Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Control and Systems Engineering (124 citations), Computer Networks and Communications (110 citations), Business and International Management (6 citations), Signal Processing (28 citations) and Artificial Intelligence (81 citations). Abdullah Khalili has collaborated with scholars based in Iran, United Kingdom and Türkiye. Frequent co-authors include Ashkan Sami, İstemihan Genç, Charalambos Konstantinou, Abdel‐Hamid Soliman, Md Asaduzzaman, Alison Griffiths, Maryam Dehghani, Shahram Golzari, Navid Vafamand and Tomislav Dragičević. Their work appears in journals such as Electronics Letters, Information and Software Technology, Empirical Software Engineering, Multimedia Tools and Applications and The Journal of Engineering.

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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