Omar Barukab

51 papers receiving 736 citations

Peers

Omar Barukab
Comparison fields: 5 of 115
  • Management Science and Operations Research 100
  • Modeling and Simulation 31
  • Software 22
  • Health Informatics 7
  • Signal Processing 57
Replace Saeed Kosari with:
Saeed Kosari China
Vijayakumar Varadarajan Australia
Emanuela Merelli Italy
Rishabh Gupta India
Oscar Camacho-Nieto Mexico
Ali Karcı Türkiye
Ali Muhammad Ali Rushdi Saudi Arabia
Aswani Kumar Cherukuri India
Ahmed Mohammed Alghamdi Saudi Arabia
Omar Barukab relative to Saeed Kosari China Saeed Kosari's profile →
Citations per field
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Saeed Kosari · 1×
Citations per year

Countries citing papers authored by Omar Barukab

Since Specialization
Citations

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

Fields of papers citing papers by Omar Barukab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 202072
3 202160
4 201950
5 202246
6 201942
7 202135
8 202324
9 202323
10 202123
11 202223
12 200521
13 201719
14 202218
15 201918
16 201418
17 202217
18 202217
19 202217
20 202211

About Omar Barukab

Omar Barukab is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 760 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Rough Sets and Fuzzy Logic (5 papers), Multi-Criteria Decision Making (5 papers), Network Security and Intrusion Detection (5 papers), RNA and protein synthesis mechanisms (5 papers), Formal Methods in Verification (4 papers), Advanced Malware Detection Techniques (4 papers) and Analytic and geometric function theory (3 papers). The work is most often cited by research in Management Science and Operations Research (100 citations), Modeling and Simulation (31 citations), Software (22 citations), Health Informatics (7 citations) and Signal Processing (57 citations). Omar Barukab has collaborated with scholars based in Saudi Arabia, Pakistan and United States. Frequent co-authors include Sher Afzal Khan, Muhammad Arif, Amir Ahmad, Farman Ali, Ali Muhammad Ali Rushdi, Yaser Daanial Khan, Sharaf J. Malebary, Saleem Abdullah, Shahzaib Ashraf and Ahmad Atieh. Their work appears in journals such as Applied Sciences, Heliyon, Scientific Reports, Archives of Computational Methods in Engineering and PLoS ONE.

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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