Saeed Albukhitan

419 citations
15 papers · 243 indexed · h-index 8
Topics
Semantic Web and Ontologies (9 papers)Natural Language Processing Techniques (8 papers)Topic Modeling (6 papers)
Journals
International Journal of Oil Gas and Coal TechnologyProcedia Computer Science2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Partner nations
Saudi ArabiaEgypt

In The Last Decade

Saeed Albukhitan

15 papers receiving 228 citations

Peers

Saeed Albukhitan
Comparison fields: 5 of 58
  • Artificial Intelligence 81
  • Industrial and Manufacturing Engineering 59
  • Strategy and Management 35
  • Management Information Systems 31
  • Management of Technology and Innovation 28
Replace Sébastien Truptil with:
Sébastien Truptil France
Isabel Seruca Portugal
Thomas Myrach Switzerland
Aurélie Montarnal France
Catarina Ferreira da Silva France
Enass Khalil Alquqa Jordan
Inna Novalija Slovenia
Nick Milton United Kingdom
Angelika Kokkinaki Cyprus
Saeed Albukhitan relative to Sébastien Truptil France Sébastien Truptil's profile →
Citations per field
00.5×1.6×
Sébastien Truptil · 1×
Citations per year

Countries citing papers authored by Saeed Albukhitan

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Albukhitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Albukhitan

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Albukhitan. A scholar is included among the top collaborators of Saeed Albukhitan 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 Saeed Albukhitan. Saeed Albukhitan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 134
2 5
3 7
4 7
5 21
6 8
7 3
8 5
9 13
10 2
11 11
12 10
13 1
14
Hybrid Soft Computing for PVT Properties Prediction
2
15 14

About Saeed Albukhitan

Saeed Albukhitan is a scholar working on Artificial Intelligence, Analytical Chemistry and Information Systems, having authored 15 papers that have together received 243 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (59 citations), Management of Technology and Innovation (28 citations) and Management Information Systems (31 citations). Saeed Albukhitan has collaborated with scholars based in Saudi Arabia and Egypt. Frequent co-authors include Tarek Helmy, Amar Khoukhi and Lahouari Ghouti. Their work appears in journals such as International Journal of Oil Gas and Coal Technology, Procedia Computer Science and 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

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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