Mohammed Alswaitti

21 papers receiving 1.4k citations

Hit Papers

Particle Swarm Optimization: A Comprehensive Survey20222026202320242022200400600

Peers

Mohammed Alswaitti
Comparison fields: 5 of 138
  • Artificial Intelligence 666
  • Electrical and Electronic Engineering 251
  • Computer Vision and Pattern Recognition 227
  • Control and Systems Engineering 215
  • Computational Theory and Mathematics 189
Replace Xingshi He with:
Xingshi He China
Tong Han China
Satnam Kaur India
Qasem Al-Tashi Malaysia
Shokooh Taghian Iran
Eva Trojovská Czechia
Xiangbing Zhou China
Shimpi Singh Jadon India
Gang Hu China
Mohammed Alswaitti relative to Xingshi He China Xingshi He's profile →
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Countries citing papers authored by Mohammed Alswaitti

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Alswaitti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Alswaitti

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Alswaitti. A scholar is included among the top collaborators of Mohammed Alswaitti 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 Mohammed Alswaitti. Mohammed Alswaitti 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 3
2
Particle Swarm Optimization: A Comprehensive Surveybreakdown →
690
3 16
4 10
5 17
6 17
7 24
8 4
9 16
10 33
11 24
12 27
13 4
14 26
15 8
16 130
17 84
18 170
19 51
20 15

About Mohammed Alswaitti

Mohammed Alswaitti is a scholar working on Developmental Biology, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Clustering Algorithms Research (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (666 citations), Computational Theory and Mathematics (189 citations) and Computer Vision and Pattern Recognition (227 citations). Mohammed Alswaitti has collaborated with scholars based in Malaysia, Australia and Saudi Arabia. Frequent co-authors include Seyedali Mirjalili, Tareq M. Shami, Ayman A. El‐Saleh, Qasem Al-Tashi, Mohammad Tubishat, Nor Ashidi Mat Isa, Salinah Ja’afar, Maizatul Akmar Ismail, Norisma Idris and Mohammed Ali Al-Garadi. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

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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