Nusrat Rouf
Impact in
- Health Informatics top 10%
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
-
- Stock Market Forecasting Methods 3
- Forecasting Techniques and Applications 1
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- Bayesian Modeling and Causal Inference 1
- Co-authors
- Akib Mohi Ud Din Khanday (1 shared paper)Syed Tanzeel Rabani (1 shared paper)Qamar Rayees Khan (1 shared paper)Majid Bashir Malik (3 shared papers)Hee‐Cheol Kim (1 shared paper)Saurabh Singh (2 shared papers)Tasleem Arif (2 shared papers)Satyabrata Aich (1 shared paper)
- Journals
- Computational Intelligence and Neuroscience (1 paper)Electronics (1 paper)IETE Technical Review (1 paper)International Journal of Information Technology (1 paper)2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (1 paper)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Nusrat Rouf
4 papers receiving 323 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 13
- Management Science and Operations Research 118
- Health Information Management 40
- Radiology, Nuclear Medicine and Imaging 138
- Modeling and Simulation 23
Countries citing papers authored by Nusrat Rouf
This map shows the geographic impact of Nusrat Rouf'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 Nusrat Rouf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nusrat Rouf more than expected).
Fields of papers citing papers by Nusrat Rouf
This network shows the impact of papers produced by Nusrat Rouf. 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 Nusrat Rouf. The network helps show where Nusrat Rouf may publish in the future.
Co-authors
The 12 scholars most cited alongside Nusrat Rouf, 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 | 2020 | 214 | |
| 2 | 2021 | 131 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 1 | |
| 5 | 2025 | 0 |
About Nusrat Rouf
Nusrat Rouf is a scholar working on Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, Management Information Systems and Health Information Management, having authored 5 papers that have together received 350 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (3 papers), Big Data and Business Intelligence (1 paper), Financial Markets and Investment Strategies (1 paper), Artificial Intelligence in Healthcare (1 paper), Forecasting Techniques and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper), COVID-19 epidemiological studies (1 paper) and Market Dynamics and Volatility (1 paper). The work is most often cited by research in Health Informatics (13 citations), Management Science and Operations Research (118 citations), Health Information Management (40 citations), Radiology, Nuclear Medicine and Imaging (138 citations) and Modeling and Simulation (23 citations). Nusrat Rouf has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Qamar Rayees Khan, Majid Bashir Malik, Hee‐Cheol Kim, Saurabh Singh, Tasleem Arif, Satyabrata Aich, In-Ho Ra and Abhishek Meena. Their work appears in journals such as Computational Intelligence and Neuroscience, Electronics, IETE Technical Review, International Journal of Information Technology and 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
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.