Naushad Mamode Khan
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications 21
- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 12
- Advanced Statistical Methods and Models 9
- Finance top 5%
- Financial Risk and Volatility Modeling 28
- Family Practice top 10%
- Marketing top 10%
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- Bayesian Methods and Mixture Models 11
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- Spatial and Panel Data Analysis 7
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- Forecasting Techniques and Applications 6
Naushad Mamode Khan
63 papers receiving 547 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Statistics and Probability 232
- Finance 173
- Family Practice 27
- Marketing 78
- Statistics, Probability and Uncertainty 51
Countries citing papers authored by Naushad Mamode Khan
This map shows the geographic impact of Naushad Mamode Khan'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 Naushad Mamode Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naushad Mamode Khan more than expected).
Fields of papers citing papers by Naushad Mamode Khan
This network shows the impact of papers produced by Naushad Mamode Khan. 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 Naushad Mamode Khan. The network helps show where Naushad Mamode Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naushad Mamode Khan, 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 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 7 | |
| 9 | The unilateral spatial autoregressive process for the regular lattice two-dimensional spatial discrete data | 2021 | 1 |
| 10 | 2020 | 2 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 5 | |
| 13 | An INAR(1) model with Poisson-Lindley innovations | 2018 | 21 |
| 14 | 2018 | 49 | |
| 15 | 2018 | 16 | |
| 16 | 2018 | 1 | |
| 17 | Modelling Football Data Using a GQL Algorithm based on Higher Ordered Covariances. | 2017 | 4 |
| 18 | 2017 | 14 | |
| 19 | 2016 | 2 | |
| 20 | Dorsal hand vein biometric using Independent Component Analysis (ICA) | 2011 | 4 |
About Naushad Mamode Khan
Naushad Mamode Khan is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Modeling and Simulation and Economics and Econometrics, having authored 67 papers that have together received 580 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (28 papers), Statistical Distribution Estimation and Applications (21 papers), Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (12 papers), Bayesian Methods and Mixture Models (11 papers), Advanced Statistical Methods and Models (9 papers), Spatial and Panel Data Analysis (7 papers) and Forecasting Techniques and Applications (6 papers). The work is most often cited by research in Statistics and Probability (232 citations), Finance (173 citations), Family Practice (27 citations), Marketing (78 citations) and Statistics, Probability and Uncertainty (51 citations). Naushad Mamode Khan has collaborated with scholars based in Mauritius, Iran and Egypt. Frequent co-authors include Vandna Jowaheer, Subhash Abhayawansa, Gamze Özel, Emrah Altun, Maleika Heenaye-Mamode Khan, Hassan S. Bakouch, Farrukh Jamal, Mohammed Elgarhy, Marcelo Bourguignon and Fukang Zhu. Their work appears in journals such as Journal of Statistical Computation and Simulation, Value in Health Regional Issues, PLoS ONE, Alexandria Engineering Journal and Test.
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.