Qasem Al-Tashi

37 papers receiving 2.0k citations

Hit Papers

Particle Swarm Optimization: A Comprehensive Survey201920262021202320222019200400600

Peers

Qasem Al-Tashi
Comparison fields: 5 of 151
  • Artificial Intelligence 946
  • Computer Vision and Pattern Recognition 322
  • Electrical and Electronic Engineering 311
  • Control and Systems Engineering 263
  • Computational Theory and Mathematics 261
Replace Mohammad Shehab with:
Mohammad Shehab Jordan
Sharif Naser Makhadmeh Jordan
Said Jadid Abdulkadir Malaysia
Hamza Turabieh Saudi Arabia
Putra Sumari Malaysia
Adam Słowik Poland
Antonello Rizzi Italy
Heming Jia China
Mohammad Khishe Iran
Walid Al‐Atabany Egypt
Qasem Al-Tashi relative to Mohammad Shehab Jordan Mohammad Shehab's profile →
Citations per field
00.5×3.7×
Mohammad Shehab · 1×
Citations per year

Countries citing papers authored by Qasem Al-Tashi

Since Specialization
Citations

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

Fields of papers citing papers by Qasem Al-Tashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qasem Al-Tashi

This figure shows the co-authorship network connecting the top 25 collaborators of Qasem Al-Tashi. A scholar is included among the top collaborators of Qasem Al-Tashi 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 Qasem Al-Tashi. Qasem Al-Tashi 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 65
3 4
4 9
5 44
6 8
7 73
8 4
9 5
10
Particle Swarm Optimization: A Comprehensive Surveybreakdown →
690
11 1
12 9
13 22
14 78
15 43
16 134
17 108
18 69
19
Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selectionbreakdown →
373
20 5

About Qasem Al-Tashi

Qasem Al-Tashi is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (946 citations), Computational Theory and Mathematics (261 citations) and Computer Vision and Pattern Recognition (322 citations). Qasem Al-Tashi has collaborated with scholars based in Malaysia, United States and Australia. Frequent co-authors include Seyedali Mirjalili, Said Jadid Abdulkadir, Helmi Md Rais, Hitham Alhussian, Tareq M. Shami, Ayman A. El‐Saleh, Mohammed Alswaitti, Alawi Alqushaibi, Norshakirah Aziz and Mohammed Gamal Ragab. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences and IEEE Access.

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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