Shafaq Naz

37 total papers · 702 total citations
28 papers, 513 citations indexed

About

Shafaq Naz is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Management Science and Operations Research. According to data from OpenAlex, Shafaq Naz has authored 28 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Management Science and Operations Research. Recurrent topics in Shafaq Naz's work include Fuzzy and Soft Set Theory (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and COVID-19 epidemiological studies (5 papers). Shafaq Naz is often cited by papers focused on Fuzzy and Soft Set Theory (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and COVID-19 epidemiological studies (5 papers). Shafaq Naz collaborates with scholars based in Pakistan, Taiwan and China. Shafaq Naz's co-authors include Muhammad Asif Zahoor Raja, Muhammad Shoaib, Iftikhar Ahmad, Gautam Siddharth Kashyap, Nabeela Anwar, Hira Ilyas, Adiqa Kausar Kiani, Iftikhar Ahmad, Muhammad Shabir and Kottakkaran Sooppy Nisar and has published in prestigious journals such as IEEE Access, Journal of Alloys and Compounds and Nanomaterials.

In The Last Decade

Shafaq Naz

28 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Shafaq Naz	181	133	127	87	79	28	513
Arifah Bahar	203 1.1×	175 1.3×	137 1.1×	103 1.2×	52 0.7×	48	611
Nasser Aedh Alreshidi	257 1.4×	214 1.6×	191 1.5×	87 1.0×	61 0.8×	29	603
Bandar Almohsen	180 1.0×	133 1.0×	95 0.7×	111 1.3×	25 0.3×	60	593
Fuad S. Alduais	236 1.3×	183 1.4×	162 1.3×	74 0.9×	33 0.4×	88	550
Eman Salem Alaidarous	129 0.7×	107 0.8×	124 1.0×	164 1.9×	82 1.0×	32	541
Mutaz Mohammad	168 0.9×	139 1.0×	126 1.0×	227 2.6×	35 0.4×	40	502
Xiaoli Qiang	77 0.4×	65 0.5×	38 0.3×	36 0.4×	62 0.8×	48	605
Wan Ainun Mior Othman	120 0.7×	105 0.8×	117 0.9×	158 1.8×	24 0.3×	54	512
Afaf S. Alwabli	88 0.5×	83 0.6×	61 0.5×	72 0.8×	22 0.3×	26	466
Muhammad Khalid	204 1.1×	141 1.1×	153 1.2×	161 1.9×	27 0.3×	55	452

Countries citing papers authored by Shafaq Naz

Since Specialization

Citations

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

Fields of papers citing papers by Shafaq Naz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shafaq Naz

This figure shows the co-authorship network connecting the top 25 collaborators of Shafaq Naz. A scholar is included among the top collaborators of Shafaq Naz 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 Shafaq Naz. Shafaq Naz 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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