Shahbaz Ali

69 total papers · 695 total citations
47 papers, 432 citations indexed

About

Shahbaz Ali is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Management Science and Operations Research. According to data from OpenAlex, Shahbaz Ali has authored 47 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 13 papers in Geometry and Topology and 13 papers in Management Science and Operations Research. Recurrent topics in Shahbaz Ali's work include Graph Labeling and Dimension Problems (14 papers), Multi-Criteria Decision Making (12 papers) and Graph theory and applications (10 papers). Shahbaz Ali is often cited by papers focused on Graph Labeling and Dimension Problems (14 papers), Multi-Criteria Decision Making (12 papers) and Graph theory and applications (10 papers). Shahbaz Ali collaborates with scholars based in Pakistan, Saudi Arabia and China. Shahbaz Ali's co-authors include Sheikh Riazuddin, Muhammad Khalid Mahmood, Shouzhen Zeng, Tayyab Husnaın, Shaheen N. Khan, J. Fielding Hejtmancik, Paul A. Sieving, Florentín Smarandache, Muhammad Asif Naeem and Radha Ayyagari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Ophthalmology.

In The Last Decade

Shahbaz Ali

42 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shahbaz Ali 131 129 96 93 63 47 432
An Wang 166 1.3× 11 0.1× 5 0.1× 25 0.3× 27 0.4× 53 397
Georg Regensburger 188 1.4× 156 1.2× 76 0.8× 44 0.5× 42 450
Bl. Sendov 122 0.9× 35 0.3× 51 0.5× 8 0.1× 26 407
Suh-Ryung Kim 20 0.2× 261 2.0× 75 0.8× 93 1.0× 62 390
Yuanping Zhang 33 0.3× 192 1.5× 244 2.5× 51 0.8× 43 478
Bazil Pârv 39 0.3× 83 0.6× 30 0.3× 18 0.2× 8 0.1× 34 460
Cristina G. Fernandes 84 0.6× 179 1.4× 21 0.2× 20 0.2× 47 385
Adrian Kosowski 13 0.1× 116 0.9× 10 0.1× 34 0.4× 62 441
Enqiang Zhu 77 0.6× 220 1.7× 75 0.8× 12 0.1× 65 398
Adrien Richard 406 3.1× 134 1.0× 13 0.1× 9 0.1× 31 458

Countries citing papers authored by Shahbaz Ali

Since Specialization
Citations

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

Fields of papers citing papers by Shahbaz Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahbaz Ali

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

All Works

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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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