Azzam Sleit

833 citations
68 papers · 571 · h-index 13

Impact in

Papers in

Azzam Sleit

65 papers receiving 511 citations

Peers

Azzam Sleit
Comparison fields: 5 of 99
  • Computer Networks and Communications 225
  • Signal Processing 77
  • Space and Planetary Science 8
  • Information Systems 137
  • Computer Vision and Pattern Recognition 123
Replace Brijesh Kumar Chaurasia with:
Brijesh Kumar Chaurasia India
Thomas Haug Germany
Yong Feng China
Jongho Nang South Korea
Mihai Lazarescu Australia
Nadia N. Qadri Pakistan
Jiwei Tian China
Lukáš Malina Czechia
Riham AlTawy Canada
Zongming Fei United States
Azzam Sleit relative to Brijesh Kumar Chaurasia India Brijesh Kumar Chaurasia's profile →
Citations per field
00.5×2.7×
Brijesh Kumar Chaurasia · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 202039
3 201938
4 201830
5 201128
6 200326
7 201623
8 201121
9 200719
10 201117
11 201915
12 201115
13
Effectiveness of query expansion in searching the Holy Quran
200714
14 201312
15 200811
16 201110
17 201310
18 20189
19 20089
20 20189

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 68 papers that have together received 571 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Image Retrieval and Classification Techniques (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Data Mining Algorithms and Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Algorithms and Data Compression (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Computer Networks and Communications (225 citations), Signal Processing (77 citations), Space and Planetary Science (8 citations), Information Systems (137 citations) and Computer Vision and Pattern Recognition (123 citations). Azzam Sleit has collaborated with scholars based in Jordan, Qatar and United Arab Emirates. Frequent co-authors include Wesam Almobaideen, Amjad Hudaib, Hussam N. Fakhouri, Maha Saadeh, Ahmad Sharieh, Mohammad Qatawneh, Khair Eddin Sabri, Bassam Hammo, Mahmoud El‐Haj and Adel Abusitta. Their work appears in journals such as Journal of Information Science, American Journal of Applied Sciences, Modern Applied Science, Journal of Applied Sciences and The Imaging Science Journal.

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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