Maria Akram
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 19
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- Optimization and Mathematical Programming 11
- Co-authors
- Kifayat Ullah (14 shared papers)Dragan Pamučar (7 shared papers)Zeeshan Ali (1 shared paper)Zeeshan Ali (2 shared papers)Shahzaib Ashraf (4 shared papers)Chiranjibe Jana (4 shared papers)Darko Božanić (2 shared papers)Dragan Pamucar (1 shared paper)
In The Last Decade
Maria Akram
19 papers receiving 386 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 249
- Statistics and Probability 51
- Control and Systems Engineering 98
- Computational Theory and Mathematics 53
- Business and International Management 4
Countries citing papers authored by Maria Akram
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
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-authors
The 25 scholars most cited alongside Maria Akram, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Multi-Criteria Group Decision-Making Approach for Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information and Aczel-Alsina Bonferroni Means Hit paper breakdown → | 2024 | 75 |
| 2 | 2022 | 58 | |
| 3 | 2021 | 50 | |
| 4 | 2024 | 35 | |
| 5 | 2023 | 34 | |
| 6 | 2022 | 27 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 0 |
About Maria Akram
Maria Akram is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Management, Monitoring, Policy and Law and Urban Studies, having authored 21 papers that have together received 394 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (11 papers), Fuzzy Systems and Optimization (5 papers), Soil and Land Suitability Analysis (2 papers), Computational Drug Discovery Methods (1 paper), Conducting polymers and applications (1 paper), Advanced Computing and Algorithms (1 paper) and Evaluation Methods in Various Fields (1 paper). The work is most often cited by research in Management Science and Operations Research (249 citations), Statistics and Probability (51 citations), Control and Systems Engineering (98 citations), Computational Theory and Mathematics (53 citations) and Business and International Management (4 citations). Maria Akram has collaborated with scholars based in Pakistan, Serbia and China. Frequent co-authors include Kifayat Ullah, Dragan Pamučar, Zeeshan Ali, Zeeshan Ali, Shahzaib Ashraf, Chiranjibe Jana, Darko Božanić, Dragan Pamucar, LeSheng Jin and Sabir Ali Siddique. Their work appears in journals such as Energies, Information Sciences, International Journal of Computational Intelligence Systems, Complex & Intelligent Systems and Engineering Applications of Artificial Intelligence.
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.