Bayan Alabdullah

448 citations
26 papers · 216 · h-index 8

Impact in

Papers in

Bayan Alabdullah

21 papers receiving 209 citations

Peers

Bayan Alabdullah
Comparison fields: 5 of 51
  • Human-Computer Interaction 34
  • Computer Vision and Pattern Recognition 120
  • Artificial Intelligence 37
  • Geology 6
  • Analytical Chemistry 9
Replace Lijuan Liu with:
Lijuan Liu China
Mahmoud Mejdoub Tunisia
Chenxia Wu China
Florian Weißhardt Germany
Swati Nigam India
Tingwu Wang Canada
Hengduo Li United States
Harsh Jain India
A. Vinay India
Bayan Alabdullah relative to Lijuan Liu China Lijuan Liu's profile →
Citations per field
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Lijuan Liu · 1×
Citations per year

Countries citing papers authored by Bayan Alabdullah

Since Specialization
Citations

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

Fields of papers citing papers by Bayan Alabdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202350
2 202426
3 202424
4 202416
5 202312
6 202312
7 202411
8 20219
9 20257
10 20257
11 20247
12 20246
13 20246
14 20186
15 20245
16 20245
17 20243
18 20241
19 20251
20 20251

About Bayan Alabdullah

Bayan Alabdullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Computer Networks and Communications and Control and Systems Engineering, having authored 26 papers that have together received 216 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (4 papers), Smart Agriculture and AI (4 papers), Gait Recognition and Analysis (2 papers), Chaos-based Image/Signal Encryption (2 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Computer Vision and Pattern Recognition (120 citations), Artificial Intelligence (37 citations), Geology (6 citations) and Analytical Chemistry (9 citations). Bayan Alabdullah has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Naif Al Mudawi, Ahmad Jalal, Asaad Algarni, Abdulwahab Alazeb, Saud S. Alotaibi, Jeongmin Park, Abdullah Alshahrani, Martin White, Natalia Beloff and Ashwag Albakri. Their work appears in journals such as IEEE Access, Frontiers in Plant Science, Sensors, Computers, materials & continua/Computers, materials & continua (Print) and Frontiers in Neurorobotics.

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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