Maria Akram

577 total citations · 1 hit paper
21 papers, 394 citations indexed

About

Maria Akram is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Maria Akram has authored 21 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 11 papers in Control and Systems Engineering and 5 papers in Statistics and Probability. Recurrent topics in Maria Akram's work include Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (11 papers) and Fuzzy Systems and Optimization (5 papers). Maria Akram is often cited by papers focused on Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (11 papers) and Fuzzy Systems and Optimization (5 papers). Maria Akram collaborates with scholars based in Pakistan, Serbia and China. Maria Akram's co-authors include Kifayat Ullah, Dragan Pamučar, Zeeshan Ali, Zeeshan Ali, Shahzaib Ashraf, Chiranjibe Jana, Darko Božanić, Dragan Pamucar, LeSheng Jin and Muhammad Yasir Mehboob and has published in prestigious journals such as Information Sciences, Applied Soft Computing and Energies.

In The Last Decade

Maria Akram

19 papers receiving 386 citations

Hit Papers

A Multi-Criteria Group Decision-Making Approach for Robot... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Multi-Criteria Group Decision-Making Approach for Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information and Aczel-Alsina Bonferroni Means
    2024 75 citations Kifayat Ullah, Zeeshan Ali et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Akram Pakistan 12 249 98 64 58 53 21 394
Sheng‐Hua Xiong China 12 221 0.9× 57 0.6× 95 1.5× 63 1.1× 67 1.3× 33 402
Dawei Ju China 8 265 1.1× 109 1.1× 40 0.6× 53 0.9× 56 1.1× 11 336
Saifullah Khan Pakistan 9 265 1.1× 169 1.7× 42 0.7× 70 1.2× 51 1.0× 22 376
Zhiying Zhang China 11 207 0.8× 78 0.8× 63 1.0× 42 0.7× 80 1.5× 26 416
Lu Zhen China 6 190 0.8× 49 0.5× 22 0.3× 13 0.2× 23 0.4× 25 327
Yuanhang Zheng China 10 170 0.7× 38 0.4× 139 2.2× 42 0.7× 46 0.9× 26 422
Muhammad Rahim Pakistan 12 219 0.9× 113 1.2× 49 0.8× 10 0.2× 44 0.8× 38 293
Chao Luo China 5 144 0.6× 80 0.8× 19 0.3× 119 2.1× 28 0.5× 5 284
Ergün Eraslan Türkiye 10 125 0.5× 24 0.2× 41 0.6× 12 0.2× 9 0.2× 34 287

Countries citing papers authored by Maria Akram

Since Specialization
Citations

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

Fields of papers citing papers by Maria Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Akram

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Akram. A scholar is included among the top collaborators of Maria Akram 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 Maria Akram. Maria Akram 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
1.
Ashraf, Shahzaib, Muhammad Naeem, Chiranjibe Jana, Maria Akram, & Gerhard‐Wilhelm Weber. (2025). Multi-criteria group decision-making method using Spherical Fuzzy Z-Numbers for smart technology revolution in municipal waste management. Engineering Applications of Artificial Intelligence. 161. 111928–111928.
2.
Yin, Shi, et al.. (2025). Assessment of air purifiers for improving the air quality index using circular intuitionistic fuzzy Heronian means. Complex & Intelligent Systems. 11(6). 4 indexed citations
3.
Ashraf, Shahzaib, Maria Akram, Chiranjibe Jana, LeSheng Jin, & Dragan Pamucar. (2024). Multi-criteria assessment of climate change due to green house effect based on Sugeno Weber model under spherical fuzzy Z-numbers. Information Sciences. 666. 120428–120428. 35 indexed citations
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Ashraf, Shahzaib, Maria Akram, Chiranjibe Jana, Jung-Eun Kim, & Ibrahim M. Hezam. (2024). Constructing a knee osteoarthritis transplant via the neutrality aggregation operators under spherical fuzzy Z-numbers framework. Heliyon. 11(1). e41288–e41288.
6.
Ullah, Kifayat, et al.. (2024). A Multi-Criteria Group Decision-Making Approach for Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information and Aczel-Alsina Bonferroni Means. 1(1). 1–32. 75 indexed citations breakdown →
7.
Ashraf, Shahzaib, et al.. (2024). A Pythagorean fuzzy Z-number-based neutrality aggregation model for AI-enabled energy efficiency management. Applied Soft Computing. 161. 111753–111753. 12 indexed citations
8.
Farman, Muhammad, et al.. (2023). Novel Degree-Based Topological Descriptors of Fenofibrate Using M-Polynomial. Journal of Mathematics. 2023. 1–13. 3 indexed citations
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Ullah, Kifayat, Maria Akram, Dragan Pamučar, et al.. (2023). Schweizer–Sklar Power Aggregation Operators Based on Complex Interval-Valued Intuitionistic Fuzzy Information for Multi-attribute Decision-Making. International Journal of Computational Intelligence Systems. 16(1). 6 indexed citations
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Ullah, Kifayat, et al.. (2023). Approaches to multi-attribute group decision-making based on picture fuzzy prioritized Aczel–Alsina aggregation information. AIMS Mathematics. 8(7). 16556–16583. 5 indexed citations
15.
Akram, Maria, Kifayat Ullah, Goran Ćirović, & Dragan Pamučar. (2023). Algorithm for Energy Resource Selection Using Priority Degree-Based Aggregation Operators with Generalized Orthopair Fuzzy Information and Aczel–Alsina Aggregation Operators. Energies. 16(6). 2816–2816. 13 indexed citations
16.
Ullah, Kifayat, et al.. (2023). The theory of prioritized Muirhead mean operators under the presence of Complex Single-Valued Neutrosophic values. Decision Analytics Journal. 7. 100214–100214. 19 indexed citations
17.
Akram, Maria, Haolun Wang, Harish Garg, & Kifayat Ullah. (2023). Interaction Power Bonferroni Mean Aggregation Operators Based on T-Spherical Fuzzy Information and Their Application in Multi-attribute Decision Making. International Journal of Fuzzy Systems. 25(7). 2665–2683. 5 indexed citations
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Akram, Maria, Kifayat Ullah, & Dragan Pamučar. (2022). Performance Evaluation of Solar Energy Cells Using the Interval-Valued T-Spherical Fuzzy Bonferroni Mean Operators. Energies. 15(1). 292–292. 58 indexed citations
20.
Akram, Maria, Sabir Ali Siddique, Javed Iqbal, et al.. (2021). End-capped engineering of bipolar diketopyrrolopyrrole based small electron acceptor molecules for high performance organic solar cells. Computational and Theoretical Chemistry. 1201. 113242–113242. 50 indexed citations

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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