Habib Shah

1.6k citations
60 papers · 923 indexed · h-index 19
Topics
Metaheuristic Optimization Algorithms Research (12 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)Evolutionary Algorithms and Applications (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access

In The Last Decade

Habib Shah

57 papers receiving 888 citations

Peers

Habib Shah
Comparison fields: 5 of 114
  • Artificial Intelligence 344
  • Information Systems 252
  • Computer Networks and Communications 194
  • Electrical and Electronic Engineering 120
  • Computer Vision and Pattern Recognition 83
Replace Mohammed Alweshah with:
Mohammed Alweshah Jordan
Rozaida Ghazali Malaysia
Helmi Md Rais Malaysia
Broderick Crawford Chile
Hashem Alyami Saudi Arabia
Ivana Strumberger Serbia
Ricardo Soto Chile
Jiangjiang Zhang China
Hamzeh Alabool Saudi Arabia
Ahmad Salah Egypt
Habib Shah relative to Mohammed Alweshah Jordan Mohammed Alweshah's profile →
Citations per field
00.5×1.5×
Mohammed Alweshah · 1×
Citations per year

Countries citing papers authored by Habib Shah

Since Specialization
Citations

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

Fields of papers citing papers by Habib Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habib Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Habib Shah. A scholar is included among the top collaborators of Habib Shah 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 Habib Shah. Habib Shah 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 1
2 0
3 4
4 1
5 5
6 10
7 27
8 5
9 11
10 0
11 3
12 34
13 25
14 20
15 8
16 60
17 5
18 12
19 53
20 7

About Habib Shah

Habib Shah is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 60 papers that have together received 923 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). The work is most often cited by research in Software (59 citations), Information Systems (252 citations) and Artificial Intelligence (344 citations). Habib Shah has collaborated with scholars based in Saudi Arabia, Pakistan and Malaysia. Frequent co-authors include Nasser Tairan, Rozaida Ghazali, Wali Khan Mashwani, Abdul Waheed, Basit Raza, Muhammad Fayaz, Mustafa Mat Deris, Rashid Naseem, Jamal Uddin and Harish Garg. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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