Munazza Naz

61 total papers · 1.6k total citations
42 papers, 1.1k citations indexed

About

Munazza Naz is a scholar working on Economics and Econometrics, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Munazza Naz has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 16 papers in Management Science and Operations Research and 11 papers in Computational Theory and Mathematics. Recurrent topics in Munazza Naz's work include Fuzzy and Soft Set Theory (15 papers), Multi-Criteria Decision Making (10 papers) and Advanced Algebra and Logic (9 papers). Munazza Naz is often cited by papers focused on Fuzzy and Soft Set Theory (15 papers), Multi-Criteria Decision Making (10 papers) and Advanced Algebra and Logic (9 papers). Munazza Naz collaborates with scholars based in Pakistan, United Kingdom and United States. Munazza Naz's co-authors include Muhammad Shabir, Muhammad Jawad, Muhammad İrfan Ali, Florentín Smarandache, Mumtaz Ali, Shahzad Hussain, Ghulam Shabbir Khan Niazi, Muhammad Aslam, Ayşe Küçük Yılmaz and Thabet Abdeljawad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Munazza Naz

36 papers receiving 987 citations

Hit Papers

On soft topological spaces 2011 2026 2016 2021 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Munazza Naz 887 573 101 100 52 42 1.1k
T. E. Hall 345 0.4× 865 1.5× 200 2.0× 110 1.1× 205 3.9× 74 1.3k
Meir Smorodinsky 482 0.5× 175 0.3× 114 1.1× 739 7.4× 119 2.3× 35 1.5k
Guoqiang Tian 448 0.5× 318 0.6× 128 1.3× 638 6.4× 16 0.3× 80 1.0k
Jack Porter 195 0.2× 122 0.2× 203 2.0× 278 2.8× 17 0.3× 44 1.0k
Andrew McLennan 729 0.8× 78 0.1× 58 0.6× 834 8.3× 118 2.3× 53 1.3k
Moshé Machover 321 0.4× 91 0.2× 36 0.4× 712 7.1× 82 1.6× 39 970
Yu Yuan 161 0.2× 203 0.4× 191 1.9× 289 2.9× 78 1.5× 59 1.1k
Marcel K. Richter 254 0.3× 140 0.2× 60 0.6× 990 9.9× 76 1.5× 39 1.3k
S. N. Afriat 146 0.2× 114 0.2× 29 0.3× 815 8.2× 44 0.8× 47 1.2k
Abraham Neyman 916 1.0× 184 0.3× 55 0.5× 827 8.3× 199 3.8× 70 1.4k

Countries citing papers authored by Munazza Naz

Since Specialization
Citations

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

Fields of papers citing papers by Munazza Naz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munazza Naz

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