Azzam Sleit

811 citations
73 papers · 615 · h-index 13

Impact in

Papers in

Azzam Sleit

68 papers receiving 553 citations

Peers

Azzam Sleit
Comparison fields: 5 of 95
  • Computer Networks and Communications 250
  • Signal Processing 87
  • Space and Planetary Science 10
  • Information Systems 163
  • Computer Vision and Pattern Recognition 140
Replace Zhusong Liu with:
Zhusong Liu China
Sahel Alouneh Jordan
Ferdous Ahmed Barbhuiya India
Duc-Hung Le Vietnam
Dongdong Zhao China
Liwei Kuang China
R. F. Gibadullin Russia
Sugata Sanyal India
Graham Sexton United Kingdom
Vladimir I. Gorodetski Russia
Azzam Sleit relative to Zhusong Liu China Zhusong Liu's profile →
Citations per field
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Zhusong Liu · 1×
Citations per year

Countries citing papers authored by Azzam Sleit

Since Specialization
Citations

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

Fields of papers citing papers by Azzam Sleit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Azzam Sleit, 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 Azzam Sleit Line = papers co-authored together Azzam Sleit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 202045
3 201938
4 201837
5 201131
6 201627
7 201122
8 201120
9 200720
10 201916
11 201116
12
Effectiveness of query expansion in searching the Holy Quran
200715
13 201313
14 200812
15 201111
16 200711
17 201310
18 20189
19 20189
20 20089

About Azzam Sleit

Azzam Sleit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 73 papers that have together received 615 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Image Retrieval and Classification Techniques (8 papers), Cloud Computing and Resource Management (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Data Mining Algorithms and Applications (6 papers), Algorithms and Data Compression (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Signal Processing (87 citations), Space and Planetary Science (10 citations), Information Systems (163 citations) and Computer Vision and Pattern Recognition (140 citations). Azzam Sleit has collaborated with scholars based in Jordan, Qatar and United States. Frequent co-authors include Wesam Almobaideen, Amjad Hudaib, Hussam N. Fakhouri, Maha Saadeh, Ahmad Sharieh, Mohammad Qatawneh, Khair Eddin Sabri, Mahmoud El‐Haj, Bassam Hammo and Adel Abusitta. Their work appears in journals such as American Journal of Applied Sciences, Journal of Information Science, Modern Applied Science, The Imaging Science Journal and Journal of Applied Sciences.

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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