Abdulmohsen Al-Thubaity

24 papers receiving 389 citations

Peers

Abdulmohsen Al-Thubaity
Comparison fields: 5 of 74
  • Artificial Intelligence 358
  • Information Systems 165
  • Computer Vision and Pattern Recognition 26
  • Sociology and Political Science 25
  • Civil and Structural Engineering 16
Replace Sebastian Spiegler with:
Sebastian Spiegler United Kingdom
Mohammed Attia United States
Hristo Tanev Italy
Valentin Jijkoun Netherlands
Alicia Ageno Spain
Kiana Jafari Meimandi United States
Cheol-Young Ock South Korea
Bashar Talafha Jordan
Joan Santoso Indonesia
Abdulmohsen Al-Thubaity relative to Sebastian Spiegler United Kingdom Sebastian Spiegler's profile →
Citations per field
00.5×5.3×
Sebastian Spiegler · 1×
Citations per year

Countries citing papers authored by Abdulmohsen Al-Thubaity

Since Specialization
Citations

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

Fields of papers citing papers by Abdulmohsen Al-Thubaity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdulmohsen Al-Thubaity. 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 Abdulmohsen Al-Thubaity. The network helps show where Abdulmohsen Al-Thubaity may publish in the future.

Co-authorship network of co-authors of Abdulmohsen Al-Thubaity

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulmohsen Al-Thubaity. A scholar is included among the top collaborators of Abdulmohsen Al-Thubaity 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 Abdulmohsen Al-Thubaity. Abdulmohsen Al-Thubaity 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 0
2 5
3 1
4 5
5 15
6 16
7 2
8 1
9 6
10 1
11 30
12 3
13 97
14 21
15 12
16 4
17
KACST Arabic Text Classification Project: Overview and Preliminary Results
11
18 1
19 1
20 8

About Abdulmohsen Al-Thubaity

Abdulmohsen Al-Thubaity is a scholar working on Artificial Intelligence, Information Systems and Management of Technology and Innovation, having authored 25 papers that have together received 425 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Text and Document Classification Technologies (11 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (358 citations), Information Systems (165 citations) and General Social Sciences (5 citations). Abdulmohsen Al-Thubaity has collaborated with scholars based in Saudi Arabia, United Kingdom and France. Frequent co-authors include M. S. Khorsheed, Abdulrahman Almuhareb, Khurshid Ahmad, Ali Muhammad Ali Rushdi, M. Abdeen, Saad H. Alotaibi, Ahmad Alnafessah and Hend S. Al‐Khalifa. Their work appears in journals such as IEEE Access, Applied Sciences and Microelectronics Reliability.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026