Halim Zeghdoudi
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications 36
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- Probabilistic and Robust Engineering Design 18
- Finance top 10%
- Financial Risk and Volatility Modeling 9
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 5
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- Probability and Risk Models 7
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- Bayesian Methods and Mixture Models 8
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- Hydrology and Drought Analysis 8
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- Complex Systems and Time Series Analysis 3
- Co-authors
- Ahmed M. GemeayM. E. BakrTomás CaraballoOluwafemi Samson BalogunEslam HussamAbdisalam Hassan MuseYusra TashkandySarwar Hashmi
- Partner nations
- AlgeriaSaudi ArabiaEgypt
In The Last Decade
Halim Zeghdoudi
47 papers receiving 329 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 310
- Statistics, Probability and Uncertainty 171
- Finance 69
- Modeling and Simulation 29
- Management Science and Operations Research 60
Countries citing papers authored by Halim Zeghdoudi
This map shows the geographic impact of Halim Zeghdoudi'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 Halim Zeghdoudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Halim Zeghdoudi more than expected).
Fields of papers citing papers by Halim Zeghdoudi
This network shows the impact of papers produced by Halim Zeghdoudi. 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 Halim Zeghdoudi. The network helps show where Halim Zeghdoudi may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Halim Zeghdoudi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 8 | |
| 14 | On the Characterisation of X-Lindley Distribution by Truncated Moments : Properties and Application | 2022 | 2 |
| 15 | 2020 | 1 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 19 | |
| 18 | 2017 | 4 | |
| 19 | On Univariate and Multivariate GARCH Models: Oil Price and Stock market returns volatilities | 2017 | 1 |
| 20 | 2015 | 52 |
About Halim Zeghdoudi
Halim Zeghdoudi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 55 papers that have together received 368 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (36 papers), Probabilistic and Robust Engineering Design (18 papers), Financial Risk and Volatility Modeling (9 papers), Bayesian Methods and Mixture Models (8 papers), Hydrology and Drought Analysis (8 papers), Probability and Risk Models (7 papers), COVID-19 epidemiological studies (5 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Statistics and Probability (310 citations), Statistics, Probability and Uncertainty (171 citations) and Finance (69 citations). Halim Zeghdoudi has collaborated with scholars based in Algeria, Saudi Arabia and Egypt. Frequent co-authors include Ahmed M. Gemeay, M. E. Bakr, Tomás Caraballo, Oluwafemi Samson Balogun, Eslam Hussam, Abdisalam Hassan Muse, Yusra Tashkandy, Sarwar Hashmi, Muhammad Ahsan ul Haq and Kadir Karakaya. Their work appears in journals such as Heliyon, IEEE Access, AIP Advances, Scientific Reports and International Journal of Control.
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.