Walid Emam

887 citations
104 papers · 544 · h-index 12

Impact in

Papers in

Walid Emam

85 papers receiving 537 citations

Peers

Walid Emam
Comparison fields: 5 of 97
  • Statistics and Probability 214
  • Statistics, Probability and Uncertainty 83
  • Management Science and Operations Research 115
  • Computational Mechanics 68
  • Finance 29
Replace Jarosław Bartoszewicz with:
Jarosław Bartoszewicz Poland
Mario Lefebvre Canada
K. B. Kulasekera United States
Taeryon Choi South Korea
Zhongyi Zhu China
Oluwafemi Samson Balogun Finland
Nikolai Kolev Bulgaria
Jiancheng Jiang United States
Germán Aneiros Spain
Cheng Yong Tang United States
Walid Emam relative to Jarosław Bartoszewicz Poland Jarosław Bartoszewicz's profile →
Citations per field
00.5×10.5×
Jarosław Bartoszewicz · 1×
Citations per year

Countries citing papers authored by Walid Emam

Since Specialization
Citations

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

Fields of papers citing papers by Walid Emam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Walid Emam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Walid Emam Line = papers co-authored together Walid Emam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

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About Walid Emam

Walid Emam is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Global and Planetary Change and Biomedical Engineering, having authored 104 papers that have together received 544 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (35 papers), Survey Sampling and Estimation Techniques (15 papers), Statistical Methods and Bayesian Inference (15 papers), Multi-Criteria Decision Making (13 papers), Probabilistic and Robust Engineering Design (12 papers), Nanofluid Flow and Heat Transfer (11 papers), Hydrology and Drought Analysis (11 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Statistics and Probability (214 citations), Statistics, Probability and Uncertainty (83 citations), Management Science and Operations Research (115 citations), Computational Mechanics (68 citations) and Finance (29 citations). Walid Emam has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Yusra Tashkandy, Haitham M. Yousof, Zafar Mahmood, Khadija Rafique, Mohamed Ibrahim, M. Masoom Ali, Adnan Abbasi, Umar Farooq, Tahir Mahmood and Bilal Ali. Their work appears in journals such as Scientific Reports, Symmetry, Heliyon, Potato Research and IEEE Access.

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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