Sumera Naz
Impact in
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 47
- Fuzzy and Soft Set Theory 5
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- Optimization and Mathematical Programming 22
- Co-authors
- Muhammad Akram (28 shared papers)Shariq Aziz Butt (23 shared papers)S. A. Edalatpanah (3 shared papers)Florentín Smarandache (2 shared papers)Пэйдэ Лю (1 shared paper)Hossein Rashmanlou (3 shared papers)Mohammed M. Ali Al-Shamiri (3 shared papers)Feng Feng (2 shared papers)
In The Last Decade
Sumera Naz
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Management Science and Operations Research 1.0k
- Statistics and Probability 185
- Computational Theory and Mathematics 321
- Control and Systems Engineering 403
- Management, Monitoring, Policy and Law 131
Countries citing papers authored by Sumera Naz
This map shows the geographic impact of Sumera 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 Sumera Naz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumera Naz more than expected).
Fields of papers citing papers by Sumera Naz
This network shows the impact of papers produced by Sumera 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 Sumera Naz. The network helps show where Sumera Naz may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumera Naz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 2021 | 81 | |
| 3 | 2019 | 78 | |
| 4 | 2021 | 72 | |
| 5 | 2018 | 70 | |
| 6 | 2019 | 41 | |
| 7 | 2022 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2022 | 32 | |
| 10 | 2019 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2022 | 30 | |
| 13 | 2021 | 28 | |
| 14 | 2023 | 28 | |
| 15 | 2018 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2023 | 22 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 21 |
About Sumera Naz
Sumera Naz is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics and Management, Monitoring, Policy and Law, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (47 papers), Optimization and Mathematical Programming (22 papers), Rough Sets and Fuzzy Logic (12 papers), Soil and Land Suitability Analysis (7 papers), Fuzzy Systems and Optimization (7 papers), Fuzzy and Soft Set Theory (5 papers), Intuitionistic Fuzzy Systems Applications (4 papers) and Cognitive Science and Mapping (4 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Statistics and Probability (185 citations), Computational Theory and Mathematics (321 citations), Control and Systems Engineering (403 citations) and Management, Monitoring, Policy and Law (131 citations). Sumera Naz has collaborated with scholars based in Pakistan, Colombia and Iran. Frequent co-authors include Muhammad Akram, Shariq Aziz Butt, S. A. Edalatpanah, Florentín Smarandache, Пэйдэ Лю, Hossein Rashmanlou, Mohammed M. Ali Al-Shamiri, Feng Feng, Tahir Abbas and Bijan Davvaz. Their work appears in journals such as Soft Computing, Granular Computing, Journal of Intelligent & Fuzzy Systems, Sustainability and Complex & Intelligent Systems.
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.